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SeniorFull-timePythonRustAzurePostgreSQLAIML
Salary Range
$103,428 - $139,932 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking an experienced, hands-on Senior AI Engineer to join the Generative AI applications Platform group at JFrog and lead the backend implementation and architecture of AI/LLM solutions.
Key Responsibilities
- →Design and own agent architectures – Build and evolve graph-based agent workflows using LangGraph, with clear state schemas, checkpointing, and streaming to production.
- →Turn product and user needs into backend AI – Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations.
- →Design, develop, and deploy GenAI capabilities end-to-end – LangChain tools and integrations, RAG pipelines, structured outputs, and APIs for chat and Copilot-style integrations.
- →Raise the bar on quality and reliability – Establish patterns for observability, error handling, content safety, bounded autonomy, and evaluation systems.
- →Mentor and align the team – Provide technical guidance on LLM backend architecture and LangGraph/LangChain best practices.
Requirements
- ✓Backend–LLM & agent architecture – 5+ years in production ML/AI and backend systems; recent hands-on experience with backend LLM systems, including agent workflows (e.g., LangGraph or similar), LangChain tooling and chains, state management, and streaming (e.g., SSE).
- ✓Technical stack – Proficient in Python; comfortable with LangGraph, LangChain, FastAPI, PostgreSQL, and optionally Azure AI Search or similar. Experience with LLM providers (OpenAI/Azure, Google Vertex AI, etc.) and RAG (retrievers, chunking, reranking) expected.
- ✓Generative AI in production – Proven track record building production GenAI applications, including multi-step agents, RAG, tool-augmented LLMs, and ideally human-in-the-loop or review flows.
- ✓Bachelor's degree or higher in Computer Science or a related field, and strong communication and collaboration skills.
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