AI Developer Jobs
AI Developer jobs are open across technology, finance, healthcare, and government, from entry-level to staff and principal, with specializations in machine learning engineering, generative AI, and NLP. Find a role that fits from the openings below and apply directly.
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Showing 5 of 628+ AI Developer jobs
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.
Requirement:
- 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).
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.
Requirement:
- 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).
AI Developer Jobs by Experience Level
Top Cities Hiring AI Developers
Explore AI developer openings in the cities hiring most right now.
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Find AI Developer JobsAI Developer Job Market
Who's Hiring
- NVIDIA19
- Booz Allen Hamilton18
- Google15
- JPMorganChase14
- Citi12
Top Industries Hiring
- Technology & Software76
- Banking & Financial Services22
- Consulting & Professional Services20
- Education15
- Investment & Asset Management14
What Employers Look For
The qualifications that appear most often in AI developer jobs.
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience building, training, and deploying machine learning or large language models in production
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving and MLOps
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
- Experience with version control, experiment tracking tools, and containerization using Docker or Kubernetes
Tips for Your AI Developer Job Search
Quantify model performance on your resume
Recruiters screening ai developer resumes want to see concrete outcomes, not just tools. Replace 'built a recommendation model' with metrics like latency reduction, accuracy improvement, or throughput gains. Numbers tied to business impact clear screening filters faster than capability lists.
Target openings by framework, not just title
Many ai developer postings bury the real requirement in the skills section. Search by the framework you know best, PyTorch or JAX or LangChain, alongside the job title. You'll surface roles that match your stack before you read a single job description.
Apply early to roles that fit
Migrate Mate lists ai developer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Build a public artifact for each major project
Hiring managers for ai developer roles increasingly expect a link they can click, a GitHub repo, a model card, a published demo, not just a bullet point. Make sure every significant project in your resume maps to something publicly reviewable before you start applying.
Prepare to explain tradeoffs, not just solutions
Technical interviews for ai developers frequently go off-script into architecture decisions, why you chose one embedding strategy over another, or how you handled data drift. Rehearse explaining the tradeoff you made on a past project, not just the outcome you reached.
Negotiate on compute access and tooling budget
Beyond base pay, ai developer roles vary widely on cloud compute credits, access to proprietary datasets, and hardware allocation. Ask directly what the team's GPU budget is and how model experiments are provisioned. This affects your day-to-day productivity more than most perks.
AI Developer Jobs: Frequently Asked Questions
Which companies are hiring the most ai developers?
The companies hiring the most ai developers right now include NVIDIA, Booz Allen Hamilton, and Google, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in technology, defense, and enterprise software, though healthcare and financial services have expanded hiring significantly.
How many ai developer jobs are remote?
About 51% of ai developer openings are fully remote or hybrid as of August 2026, making it one of the more distributed engineering roles in the market. Positions focused on model research, fine-tuning, and API integration tend to be the most remote-friendly, while roles requiring on-site GPU clusters or regulated data environments are more likely to require in-person work.
How do you become an ai developer?
Start by building a strong foundation in Python and linear algebra, then move into a deep learning framework like PyTorch or TensorFlow through structured projects. Work through publicly available datasets to train and evaluate your own models, document the results in a GitHub portfolio, and pursue roles at the junior level where you can work alongside senior practitioners. Hands-on project experience consistently matters more than credentials alone in this field.
Can you get hired as an ai developer with little or no experience?
Yes, but you need to substitute experience with demonstrable output. Build two or three end-to-end projects, a fine-tuned language model, a computer vision classifier, or a retrieval-augmented generation pipeline, and make them publicly accessible. Apply to companies with dedicated ML infrastructure teams where junior developers support senior researchers, and target roles titled ML engineer or AI engineer, which often have more structured onboarding than pure research positions.
What does the ai developer interview process look like?
Most ai developer interview processes include an initial recruiter screen, a take-home or live coding assessment focused on Python and data manipulation, a technical round covering ML fundamentals and model design, and a system design interview where you architect an end-to-end ML pipeline. Senior roles often add a research or case study round where you critique an existing model or propose an approach to a novel problem. The full process typically runs across multiple weeks.
Where can I find and apply to ai developer jobs?
You can find and apply to ai developer jobs on Migrate Mate, which lists current openings from companies across the United States. Search the listings to find roles that match your stack and experience level, then apply directly to each one that fits. No intermediary steps are required between finding a listing and submitting your application.
See All 628+ AI Developer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Developer Jobs