Genai Engineer Jobs
Genai Engineer jobs are open across technology, finance, healthcare, and enterprise software, from new-grad to staff and principal levels, with specializations in large language model development, retrieval-augmented generation, and AI agent systems. Find a role that fits from the openings below and apply directly.
Find Genai Engineer JobsOverview
Showing 5 of 153+ Genai Engineer jobs
INTRODUCTION
We're looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog's Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting.
You'll act as a technical leader within the APM group, focused on agentic workflows. You'll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We're looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
- Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production.
- Build and benchmark GenAI/ML models using state-of-the-art techniques.
- Collaborate with cross-functional teams to build automated investigation and triaging tools.
- Influence product direction by bringing a strong product mindset to your work, always advocating for the end user.
- Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction.
- Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, or evaluation
- Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
- Have a lot of influence on product direction and impact on the business.
- Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
- Competitive global benefits
- Continuous professional development
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
INTRODUCTION
We're looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog's Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting.
You'll act as a technical leader within the APM group, focused on agentic workflows. You'll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We're looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
- Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production.
- Build and benchmark GenAI/ML models using state-of-the-art techniques.
- Collaborate with cross-functional teams to build automated investigation and triaging tools.
- Influence product direction by bringing a strong product mindset to your work, always advocating for the end user.
- Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction.
- Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, or evaluation
- Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
- Have a lot of influence on product direction and impact on the business.
- Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
- Competitive global benefits
- Continuous professional development
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
See All 153+ Genai Engineer Jobs
Jump back to the full list of openings and apply to any genai engineer role that fits.
Find Genai Engineer JobsGenai Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Tata Consultancy Services (TCS)13
- Citi9
- Humana9
- Apple8
- Infosys7
Top Industries Hiring
- Technology & Software81
- Consulting & Professional Services16
- Banking & Financial Services15
- Electronics & Hardware13
- Insurance6
What Employers Look For
The qualifications that appear most often in genai engineer jobs.
- Proficiency in Python and experience building or fine-tuning large language models
- Hands-on experience with LangChain, LlamaIndex, or comparable orchestration frameworks
- Familiarity with vector databases such as Pinecone, Weaviate, or pgvector
- Experience deploying AI applications on AWS, Azure, or Google Cloud platforms
- Understanding of prompt engineering, RAG architecture, and evaluation methods
- Bachelor's or master's degree in computer science, machine learning, or a related field
Tips for Your Genai Engineer Job Search
Quantify your model impact on your resume
Hiring managers for genai engineer roles want to see concrete outcomes, not just tool names. Replace vague bullets with measurable results: latency reductions, retrieval accuracy improvements, or cost-per-token decreases tied to your specific work.
Highlight RAG and fine-tuning projects separately
Retrieval-augmented generation and fine-tuning are distinct skill sets that appear as separate filters in many job descriptions. List them as individual line items so your resume surfaces in both kinds of targeted searches.
Filter openings by infrastructure stack
Many genai engineer postings require fluency in a specific cloud AI platform, such as AWS Bedrock, Azure OpenAI Service, or Vertex AI. Narrow your search by the stack you know best to avoid wasting applications on roles built around unfamiliar tooling.
Apply early to roles that fit
Migrate Mate lists genai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design answer for LLM pipelines
Almost every genai engineer interview includes a system design round focused on production LLM architecture. Practice walking through prompt management, chunking strategy, embedding storage, and output evaluation before your first screen.
Negotiate with deployment complexity in mind
Offers for genai engineers vary based on whether the role involves model development, API integration, or full MLOps ownership. Clarify the deployment scope before accepting and use that complexity to anchor your compensation conversation.
Genai Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most genai engineers?
The companies hiring the most genai engineers right now include Tata Consultancy Services (TCS), Citi, and Humana, with the largest share of openings in Texas, California, and New York, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in enterprise technology, financial services, and healthcare software.
How many genai engineer jobs are remote?
About 27% of genai engineer openings are fully remote or hybrid as of June 2026, making it one of the more distributed engineering roles in the market. Sub-specializations in prompt engineering, LLM API integration, and evaluation tooling tend to have the highest share of remote-eligible postings compared to roles requiring on-premise model training infrastructure.
How do you become a genai engineer?
Start by building a strong foundation in Python and machine learning fundamentals, then work through hands-on projects using open-source models from Hugging Face. Learn how to build RAG pipelines, experiment with fine-tuning smaller models, and deploy an end-to-end application to a cloud platform. Document your projects publicly so hiring managers can evaluate your actual output rather than just your credentials.
Can I get hired as a genai engineer without much experience?
Yes, entry-level genai engineer roles exist, particularly at startups and in product teams integrating third-party LLM APIs rather than training models from scratch. Candidates who have built and shipped a working genai application, even as a side project, consistently get more traction than those who list only coursework. Contributing to open-source LLM tooling or writing detailed technical walkthroughs of your builds also helps establish credibility quickly.
What does the genai engineer interview process look like?
Most genai engineer interview processes include an initial recruiter screen, a take-home or live coding assessment focused on building a small LLM-powered feature, and a technical panel covering system design for production AI pipelines. Some companies add a separate evaluation round where you critique or improve an existing prompt or retrieval setup. Culture and cross-functional fit interviews typically close the process before an offer is extended.
Where can I find and apply to genai engineer jobs?
You can find and apply to genai engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your skills and apply directly to each listing without being redirected to separate company portals or third-party sites.
See All 153+ Genai Engineer Jobs
Jump back to the full list of openings and apply to any genai engineer role that fits.
Find Genai Engineer Jobs