Agentic AI Engineering - Lead Programmer Analyst (Exp: 5 Yrs To 7 Yrs)
Job Description
- 5+ years of professional software or data engineering experience, including hands-on delivery of LLM applications and agentic AI workflows.
- Strong Python and SQL; API development with FastAPI or Flask, validation with Pydantic, and asynchronous service integration.
- Practical experience with LLM APIs, streaming, token limits, prompt design, schema validation and model selection.
- Hands-on LangChain experience or equivalent frameworks; ability to choose between fixed workflows and agent decisions.
- RAG development using LangChain or LlamaIndex and vector stores such as pgvector or Qdrant, with filters and retrieval evaluation.
- Ability to implement tool calling, persistent state, context and memory management, approval flows and reliable error handling.
- Experience with AI evaluation, observability, access controls and secure tool execution, plus Git, testing, containers and cloud deployment.
- Translate business workflows into clear agent responsibilities, tool interfaces, success criteria and approval boundaries.
- Build LLM applications using effective prompts, structured outputs and context management; choose models based on quality, latency and cost.
- Develop RAG pipelines covering document ingestion, chunking, embeddings, hybrid retrieval, reranking and source-grounded answers.
- Implement tool-using workflows with state, memory, checkpoints, human approvals, retries and safeguards against repeated actions or endless loops.
- Integrate business APIs and data sources; enforce permissions and protect against prompt injection and sensitive-data exposure.
- Build evaluation datasets, regression checks and traces; debug failures and improve task completion, response time and operating cost.
- Own implementation quality and delivery while coaching juniors through design, coding, testing and production troubleshooting.
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- Demonstrated ability to groom and guide junior engineers through pairing, design discussions, code reviews and constructive feedback.
- Define tasks and acceptance criteria, remove technical blockers and review individual progress toward independent delivery.
- Build reusable agent components and practical documentation; explain design choices and delivery risks to stakeholders.
- Exposure to CrewAI / LangGraph for agent orchestration and multi-agent workflows; MCP integration and multimodal applications.
- Exposure to Langfuse, LangSmith or equivalent tracing and evaluation tools; prompt/version management and evaluation gates.
- Hugging Face Transformers for open-model integration; caching and model routing. Frameworks listed are alternatives; mastery of every tool is not required.
Skills
PythonSQLFlaskFastAPIHugging FaceLangChainLLMRAGData EngineeringGitIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Important dates & deadlines?
Application Deadline
17 Nov 26, 02:49 PM IST
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