Writing.io Jobs

Headquarters: Denver, CO - Hybrid; New York, New York, United States; Phoenix, AZ - Remote; San Francisco, CA - Hybrid

 

About Gusto

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

 
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

 
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

As an Agentic Operations Architect, you will own the reusable capabilities that make agentic service workflows possible, the patterns, primitives, standards, and tooling that other builders across the org use to automate discrete customer problems. You are not the owner of any single workflow. You are the reason a workflow that took six weeks takes two, and the reason the tenth one is safer than the first. You will prototype workflows yourself, but as a means to an end: to prove a pattern is sound, to find out what builders are missing, and to earn the right to set a standard.

About the Team:

The mission of our Service Transformation (CXT) team is to quickly evolve and scale how Gusto delivers outstanding service experiences and leverages AI to do so. Our team designs the systems, governance frameworks, and feedback loops that allow Gusto's service model to improve continuously, operate reliably, and earn the trust of the customers and employees who depend on it.

Here’s what you’ll do day-to-day:

Build the patterns

• Design the reusable patterns for agentic service workflows, orchestration, HITL protocols, override and escalation logic, quality safeguards, so builders assemble from proven components
• Set the standards builders work to, concrete enough to apply without you in the room
• Prototype workflows selectively: to validate a pattern, expose a gap, or unblock a hard problem, then extract the reusable part and hand it off
• Pull learnings from every build back into the shared patterns, so each one is faster and safer than the last

Shape the platform

• Influence Product on what to build next: turn what's slowing builders down into specific, prioritized asks backed by evidence
• Prototype around gaps the platform doesn't cover yet, proving a capability is worth building before USP invests
• Be honest in both directions about the distance between what builders need and what exists

Point capacity at the right problems

• Rank automation opportunities by volume, risk, and customer impact, mining SOPs, operational metrics, and interaction data, to determine what gets built and where builders go
• Work with Data to define how workflow performance gets measured, so every builder measures the same way
• Identify where there are processes which exist which should not be automated

Carry the quality stakes

• Bring what's at stake for customers into Legal, Security, Compliance, and platform reviews, so requirements land in the patterns instead of getting retrofitted per workflow
• Represent how the portfolio is performing to senior stakeholders, briefly, and in a way that drives action

Here’s what we're looking for:

• 8+ years in operations, product, or AI roles — with at least 2 years designing and deploying AI-assisted or agentic workflows in production
• Hands-on experience with agentic tooling, orchestration frameworks, or MCP-style integrations, including multi-agent coordination — conceptual familiarity is not sufficient at this level
• Strong fluency with LLM systems: prompt design, evaluation, and how models actually behave at scale
• Experience designing human-in-the-loop systems with clear escalation logic, override controls, and compliance-aware checkpoints
• Ability to define and diagnose workflow metrics — solve and assist rate, containment, escalation quality — and to tell a real regression from noise
• Proven track record influencing Product, Engineering, Legal, Security, and Compliance in writing, in design reviews, and in high-stakes forums
• Familiarity with Responsible AI practices, governance, and risk management in production
• Prior experience in a function being actively redefined — you have built the plane while flying it before

Strongly preferred

• Experience with RAG architectures and retrieval quality optimization
• Ability to assess whether underlying data structures, quality, and governance can support reliable agentic performance
• Experience in SaaS, fintech, or regulated environments where compliance constraints are real
• Exposure to AI governance or safety-oriented review processes

Our cash compensation amount for this role is $168,420/yr to $210,525/yr in Denver & most major metro locations, and $197,895/yr to $247,369/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. 

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. 

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

To apply: https://weworkremotely.com/remote-jobs/gusto-inc-agentic-operations-architect

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is hiring a Senior Forward Deployed Engineer to embed with our most strategic customers and turn raw security data into decisions executives act on. You’ll deploy onsite, learn the customer’s workflow, data, and decision logic firsthand, and build SecurityScorecard directly into how they already operate, closing gaps and creating new value instead of bolting on a generic integration.

We’re an AI product company at our core, so our FDEs build AI-first: using LLMs and modern AI tooling by default, and applying real data science to help customers quantify risk in terms finance already trusts.

What You’ll Do

• Deploy onsite with strategic customers to map their security, risk, and compliance workflows end to end, and find where value is leaking through manual effort or disconnected tools
• Gather requirements from practitioners and executives, and understand the dependencies across their people, process, and data before proposing a solution
• Weave SecurityScorecard into the customer’s existing data, logic, and process, rather than forcing them to adapt to a generic integration
• Build AI-native solutions by default: apply LLMs, ML models, and modern AI tooling to automate analysis and cut manual toil
• Run data analysis and data science work on customer and platform data, for example translating letter-grade ratings into financial terms like Annualized Loss Expectancy (ALE), Value at Risk (VaR), and ROI
• Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses, and more)
• Architect and deploy solutions across AWS, Azure, and GCP environments to match each customer’s cloud footprint
• Prototype rapidly in the field, then harden solutions into supportable, production quality software
• Bridge Product, Engineering, and the customer, feeding field patterns back into the roadmap
• Own technical relationships with key accounts through renewal and expansion, alongside Customer Success and Sales Engineering
• Travel to customer sites for workshops, technical deep dives, and go-live support

Required Qualifications:

• 8+ years of software engineering experience, with significant time in a customer-facing, forward deployed, or solutions engineering capacity
• Hands-on experience building with AI, using LLMs, agentic frameworks, or ML models as core building blocks in shipped solutions
• A track record building AI-powered products or features, and a clear point of view on how AI changes forward deployed work
• Working data analysis / data science ability: comfortable turning raw data into a model a customer can act on (risk quantification, benchmarking, exposure modeling)
• Proven ability to ship production code independently in fast-moving, ambiguous, customer-facing environments
• Strong full stack fluency: backend services, APIs, scripting, data pipelines, and integration patterns (REST, webhooks, SSO/SAML, SIEM connectors)
• Solid architecture design experience across AWS, Azure, and GCP, and comfort designing solutions that fit a customer’s existing cloud environment
• Experience running discovery with enterprise stakeholders, from practitioners to executive sponsors, and scoping that into a technical solution
• Excellent communication skills, translating between technical detail and business or financial impact
• Bias toward action and comfort with ambiguity
• Prior experience in cybersecurity, GRC, or risk management is a strong plus
• Willingness to travel to customer sites (typically 20 to 40%, depending on account load)

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $180,000 - $240,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is hiring a Senior Forward Deployed Engineer to embed with our most strategic customers and turn raw security data into decisions executives act on. You’ll deploy onsite, learn the customer’s workflow, data, and decision logic firsthand, and build SecurityScorecard directly into how they already operate, closing gaps and creating new value instead of bolting on a generic integration.

We’re an AI product company at our core, so our FDEs build AI-first: using LLMs and modern AI tooling by default, and applying real data science to help customers quantify risk in terms finance already trusts.

What You’ll Do

• Deploy onsite with strategic customers to map their security, risk, and compliance workflows end to end, and find where value is leaking through manual effort or disconnected tools
• Gather requirements from practitioners and executives, and understand the dependencies across their people, process, and data before proposing a solution
• Weave SecurityScorecard into the customer’s existing data, logic, and process, rather than forcing them to adapt to a generic integration
• Build AI-native solutions by default: apply LLMs, ML models, and modern AI tooling to automate analysis and cut manual toil
• Run data analysis and data science work on customer and platform data, for example translating letter-grade ratings into financial terms like Annualized Loss Expectancy (ALE), Value at Risk (VaR), and ROI
• Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses, and more)
• Architect and deploy solutions across AWS, Azure, and GCP environments to match each customer’s cloud footprint
• Prototype rapidly in the field, then harden solutions into supportable, production quality software
• Bridge Product, Engineering, and the customer, feeding field patterns back into the roadmap
• Own technical relationships with key accounts through renewal and expansion, alongside Customer Success and Sales Engineering
• Travel to customer sites for workshops, technical deep dives, and go-live support

Required Qualifications:

• 8+ years of software engineering experience, with significant time in a customer-facing, forward deployed, or solutions engineering capacity
• Hands-on experience building with AI, using LLMs, agentic frameworks, or ML models as core building blocks in shipped solutions
• A track record building AI-powered products or features, and a clear point of view on how AI changes forward deployed work
• Working data analysis / data science ability: comfortable turning raw data into a model a customer can act on (risk quantification, benchmarking, exposure modeling)
• Proven ability to ship production code independently in fast-moving, ambiguous, customer-facing environments
• Strong full stack fluency: backend services, APIs, scripting, data pipelines, and integration patterns (REST, webhooks, SSO/SAML, SIEM connectors)
• Solid architecture design experience across AWS, Azure, and GCP, and comfort designing solutions that fit a customer’s existing cloud environment
• Experience running discovery with enterprise stakeholders, from practitioners to executive sponsors, and scoping that into a technical solution
• Excellent communication skills, translating between technical detail and business or financial impact
• Bias toward action and comfort with ambiguity
• Prior experience in cybersecurity, GRC, or risk management is a strong plus
• Willingness to travel to customer sites (typically 20 to 40%, depending on account load)

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $180,000 - $240,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

• Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

• Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

• Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

• Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

• Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

• Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

• Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

• Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

• n8n workflows automating cross-department processes

• NLP-based systems that analyze calls and emails

• RAG-powered assistants and chatbots grounded in our Company Context knowledge base

• Virtual assistants and chatbots to support internal teams

• Recommendation engines that guide real-time sales or support actions

• Automated tools to generate personalized content

• Dashboards and reporting tools that surface AI-generated insights

Your expertise:

• 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

• Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

• End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

• Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

• Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

• Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

• Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

• Languages:

Proficiency in Python and/or JavaScript.

• AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

• RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

• Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

• Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

• Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

• Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

• Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

• Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

• Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

• Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

• Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

• Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

• Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

• n8n workflows automating cross-department processes

• NLP-based systems that analyze calls and emails

• RAG-powered assistants and chatbots grounded in our Company Context knowledge base

• Virtual assistants and chatbots to support internal teams

• Recommendation engines that guide real-time sales or support actions

• Automated tools to generate personalized content

• Dashboards and reporting tools that surface AI-generated insights

Your expertise:

• 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

• Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

• End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

• Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

• Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

• Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

• Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

• Languages:

Proficiency in Python and/or JavaScript.

• AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

• RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

• Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

• Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

• Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

• Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

• Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

• Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

• Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

• Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

• Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

• Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

• Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

• n8n workflows automating cross-department processes

• NLP-based systems that analyze calls and emails

• RAG-powered assistants and chatbots grounded in our Company Context knowledge base

• Virtual assistants and chatbots to support internal teams

• Recommendation engines that guide real-time sales or support actions

• Automated tools to generate personalized content

• Dashboards and reporting tools that surface AI-generated insights

Your expertise:

• 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

• Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

• End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

• Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

• Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

• Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

• Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

• Languages:

Proficiency in Python and/or JavaScript.

• AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

• RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

• Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

• Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

• Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.