AI Software Developer Jobs
AI Software Developer jobs are open across technology, finance, healthcare, and defense, from entry-level to principal and staff engineer, with specializations in machine learning engineering, large language model development, and MLOps. Find a role that fits from the openings below and apply directly.
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Showing 5 of 1,404+ AI Software 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 Software Developer Jobs by Experience Level
Top Cities Hiring AI Software Developers
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Find AI Software Developer JobsAI Software Developer Job Market
Who's Hiring
- CVS Health80
- JPMorganChase73
- Google65
- Amazon41
- Advanced Monitored Caregiving34A
Top Industries Hiring
- Technology & Software170
- Healthcare & Medical Services74
- Electronics & Hardware42
- Artificial Intelligence31
- Banking & Financial Services31
What Employers Look For
The qualifications that appear most often in AI software developer jobs.
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience training, fine-tuning, or deploying large language models or neural networks
- Familiarity with MLOps tools and workflows including model versioning, monitoring, and CI/CD pipelines
- Strong foundation in linear algebra, probability, statistics, and algorithm design
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Experience with cloud platforms such as AWS, GCP, or Azure for model training and inference at scale
Tips for Your AI Software Developer Job Search
Tailor your resume for model ownership
Hiring managers want to see models you built end-to-end, not just ones you consumed. List the problem, the architecture you chose, how you evaluated it, and what happened in production. Generic ML bullet points get filtered out fast.
Show your work in a public repo
For AI roles, a GitHub or Hugging Face profile with documented projects carries more weight than certifications alone. Include experiment logs, model cards, and README files that explain your design decisions, not just the code itself.
Apply early to roles that fit
Migrate Mate lists ai software developer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by the model stack
Job descriptions that list PyTorch versus TensorFlow, or fine-tuning versus pretraining, signal very different day-to-day work. Match your search to the frameworks you know deeply rather than applying broadly and explaining gaps in interviews.
Prepare for a system design round focused on inference
Many AI software developer interviews include a round where you design a serving pipeline, latency budget, or retraining loop. Practice explaining trade-offs between batch and real-time inference and how you would handle model drift at scale.
Negotiate around compute access, not just title
When evaluating an offer, ask specifically about GPU allocation, access to proprietary datasets, and whether models are deployed internally or externally. These factors shape what you can build and what your next role will look like.
AI Software Developer Jobs: Frequently Asked Questions
Which companies are hiring the most ai software developers?
The companies hiring the most ai software developers right now include CVS Health, JPMorganChase, and Google, with the largest share of openings in California, Texas, and Washington, based on current listings on Migrate Mate as of August 2026. Demand is spread across both large tech companies and well-funded AI startups.
How many ai software developer jobs are remote?
About 67% of ai software developer openings are fully remote or hybrid as of August 2026, making it one of the more flexible engineering roles available. Positions focused on model research, fine-tuning, and API development tend to be the most remote-friendly, while roles requiring on-site GPU clusters or hardware integration are more likely to require in-person work.
How do you become an ai software developer?
Start by building a strong foundation in Python, linear algebra, and probability. Then work through hands-on projects involving model training and evaluation, using open-source frameworks like PyTorch. Contribute to public repositories, document your experiments clearly, and progress toward roles where you own a model or pipeline end-to-end rather than only consuming existing APIs.
Can you get hired as an ai software developer with little or no experience?
Yes, entry-level ai software developer roles exist, but they expect demonstrated hands-on work even without professional history. Build and publish two or three focused projects that show you can train, evaluate, and deploy a model. Open-source contributions, Kaggle competition write-ups, and well-documented GitHub repositories are treated as proxies for experience by many hiring teams.
What does the ai software developer interview process look like?
The process typically includes a recruiter screen, a technical phone interview covering Python and ML fundamentals, a take-home or live coding round focused on model implementation or data pipelines, and a system design round where you architect an end-to-end ML system. Some companies add a research presentation or a deep dive into a past project you built.
Where can I find and apply to ai software developer jobs?
You can find and apply to ai software developer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing on the platform.
See All 1,404+ AI Software Developer Jobs
Find roles that match your experience and apply in just a few clicks.
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