Genai Software Engineer Jobs
Genai Software Engineer jobs are open across technology, finance, healthcare, and enterprise software, from new-grad to principal and staff level, with specializations in large language model fine-tuning, retrieval-augmented generation, and agentic system design. Find a role that fits from the openings below and apply directly.
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Showing 5 of 36+ Genai Software Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in Java and C++.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- Experience in fields related to data quality, information retrieval, ranking, search infrastructure, search quality, content evaluation, or signal extraction.
- Experience with large-scale data analysis, data pipelines (e.g., Flume), and statistical methods.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build and maintain robust, scalable software systems and information retrieval infrastructure on top of Large Language Model (LLMs).
- Design, develop, and iterate on algorithms to retrieve high-value content, extract quality signals, and build evaluation models.
- Thrive in ambiguity and effectively navigate a fast-paced environment during the foundational stages of this new initiative.
- Collaborate closely with cross-functional teams, including engineers, product managers, and research teams across Google (e.g., NotebookLM, Play Books, Core Data, Search).
- Uphold high standards for code quality, system reliability, engineering best practices, and documentation.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in Java and C++.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- Experience in fields related to data quality, information retrieval, ranking, search infrastructure, search quality, content evaluation, or signal extraction.
- Experience with large-scale data analysis, data pipelines (e.g., Flume), and statistical methods.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build and maintain robust, scalable software systems and information retrieval infrastructure on top of Large Language Model (LLMs).
- Design, develop, and iterate on algorithms to retrieve high-value content, extract quality signals, and build evaluation models.
- Thrive in ambiguity and effectively navigate a fast-paced environment during the foundational stages of this new initiative.
- Collaborate closely with cross-functional teams, including engineers, product managers, and research teams across Google (e.g., NotebookLM, Play Books, Core Data, Search).
- Uphold high standards for code quality, system reliability, engineering best practices, and documentation.
Genai Software Engineer Jobs by Experience Level
See All 36 Genai Software Engineer Jobs
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Find Genai Software Engineer JobsGenai Software Engineer Job Market
Who's Hiring
- Google11
- EY2
- Roblox2
- JPMorganChase2
- Information Technology Senior Management Forum2
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in genai software engineer jobs.
- Proficiency in Python and experience with LLM APIs such as OpenAI, Anthropic, or open-source models
- Hands-on experience building or deploying retrieval-augmented generation pipelines
- Familiarity with vector databases such as Pinecone, Weaviate, Chroma, or pgvector
- Experience with orchestration frameworks including LangChain, LlamaIndex, or semantic kernel
- Strong foundation in machine learning concepts, model evaluation, and prompt engineering
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
Tips for Your Genai Software Engineer Job Search
Tailor your resume to model stacks
Recruiters scanning genai engineer resumes look for specific model families and orchestration frameworks. Name the exact tools you've worked with, such as LangChain, LlamaIndex, or OpenAI APIs, and tie each to a concrete output like latency reduction or accuracy improvement.
Show evaluation benchmarks you've built
Hiring teams increasingly ask how candidates measure model quality beyond user feedback. If you've built eval harnesses, defined ground-truth datasets, or run A/B experiments on prompt variants, describe that process explicitly. Many applicants skip this and it differentiates you quickly.
Apply early to roles that fit
Migrate Mate lists genai software engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job descriptions by deployment context
Some roles focus on inference optimization and cost control, others on prompt engineering pipelines, and others on RAG architecture for enterprise search. Filter openings by the deployment context closest to your experience so your application speaks directly to what the team is actually building.
Prepare a live demo or notebook walkthrough
Technical screens for genai roles often move faster than traditional coding rounds. Having a Jupyter notebook or hosted demo that shows a real RAG pipeline, fine-tuned model, or agent loop lets you anchor the conversation in working code rather than abstract explanations.
Negotiate scope before you negotiate pay
Genai engineering roles vary widely in autonomy, model access, and infra ownership. Before accepting an offer, confirm whether you control model selection, whether the team runs evals consistently, and what the compute budget looks like. Scope mismatches surface within the first month.
Genai Software Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most genai software engineers?
The companies hiring the most genai software engineers right now include Google, EY, and Roblox, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in enterprise software, cloud infrastructure, and financial services firms building internal AI products.
How many genai software engineer jobs are remote?
About 75% of genai software engineer openings are fully remote or hybrid as of November 2026, making it one of the more remote-accessible engineering specializations available today. Roles focused on prompt engineering, RAG pipeline development, and model evaluation tend to be the most location-flexible, while positions tied to on-premise inference infrastructure or regulated data environments more often require on-site presence.
How do you become a genai software engineer?
Start by building a strong Python foundation and getting comfortable calling LLM APIs to complete real tasks. From there, learn the core patterns: prompt engineering, retrieval-augmented generation, and agent design using a framework like LangChain or LlamaIndex. Build at least one end-to-end project you can demo, document your eval methodology, and deploy something publicly. Contributions to open-source genai tooling and published notebooks accelerate credibility significantly.
Can you get a genai software engineer job with little experience?
Yes, entry-level genai software engineer roles exist, particularly at startups and in companies building internal AI tools for the first time. The most effective path is a portfolio of working projects that demonstrate you can move from a problem statement to a deployed solution using modern LLM tooling. Employers hiring junior genai engineers typically care more about your ability to learn fast and ship quickly than about years of experience in the field.
What does the genai software engineer interview process look like?
Most genai software engineer interviews include a recruiter screen, a technical phone round focused on Python and ML fundamentals, and a take-home or live coding exercise involving an LLM task such as building a RAG pipeline or evaluating model outputs. A system design round covering AI infrastructure, latency, and cost tradeoffs is common for mid-level and senior roles. Final rounds often include a presentation of a past project and a conversation with engineering leadership about model strategy.
Where can I find and apply to genai software engineer jobs?
You can find and apply to genai software engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and the specific genai domains you work in, then apply directly to each listing. The openings on this page are updated regularly, so checking back when your search is active gives you access to the latest opportunities.
See All 36 Genai Software Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Genai Software Engineer Jobs