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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INTRODUCTION
Agentic AI Developer (Python)
BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
JOB RESPONSIBILITIES
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies
- Write clean and efficient code, and ensure code maintainability and reusability
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding)
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks
- Perform code reviews to ensure code quality and consistency
- Conduct testing to ensure application quality and reliability
- Create and maintain technical documentation for web applications
- Participate in project planning, estimation, and prioritization
- Stay up to date with the latest technologies for Python development
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices
REQUIREMENTS
- Experience in software development in Python3
- Decent understanding of the software development/testing life cycle
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)
- Experience with version control tools, such as Git
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design)
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns
- Solid knowledge of vector search concepts and at least one vector DB in production
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset
PREFERRED QUALIFICATIONS
- Master’s Degree in Computer Science, Software Engineering, or related field
- 1+ year professional experience in Python web application development with either Flask or Django
- Experience in RESTful API development in Python
- Understanding of Python web application frameworks such as Flask or Django
- Experience with Cloud services, such as AWS
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage)
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion)
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling)
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
INTRODUCTION
Agentic AI Developer (Python)
BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
JOB RESPONSIBILITIES
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies
- Write clean and efficient code, and ensure code maintainability and reusability
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding)
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks
- Perform code reviews to ensure code quality and consistency
- Conduct testing to ensure application quality and reliability
- Create and maintain technical documentation for web applications
- Participate in project planning, estimation, and prioritization
- Stay up to date with the latest technologies for Python development
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices
REQUIREMENTS
- Experience in software development in Python3
- Decent understanding of the software development/testing life cycle
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)
- Experience with version control tools, such as Git
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design)
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns
- Solid knowledge of vector search concepts and at least one vector DB in production
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset
PREFERRED QUALIFICATIONS
- Master’s Degree in Computer Science, Software Engineering, or related field
- 1+ year professional experience in Python web application development with either Flask or Django
- Experience in RESTful API development in Python
- Understanding of Python web application frameworks such as Flask or Django
- Experience with Cloud services, such as AWS
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage)
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion)
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling)
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Genai Software Engineer Jobs by Experience Level
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Find Genai Software Engineer JobsGenai Software Engineer Job Market
Who's Hiring
- Google17
- Visa4
- Information Technology Senior Management Forum3
- MUFG2
- Apple2
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Artificial Intelligence
- Investment & Asset Management
- Manufacturing
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, Visa, and Information Technology Senior Management Forum, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of August 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 50% of genai software engineer openings are fully remote or hybrid as of August 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 48 Genai Software Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Genai Software Engineer Jobs