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Job Description
Were building an agentic AI platform that orchestrates intelligent automation across enterprise systems.This role owns LLM reasoning pipelines end-to-end — from prompt design to production deployment on Azure Kubernetes.
What Youll Do
- Build LangGraph DAG workflows with deterministic state management
- Design LLM reasoning pipelines with structured JSON output and validation layers
- Integrate Azure OpenAI (GPT-4o) with confidence scoring and anti-hallucination guardrails
- Convert unstructured documents into structured process maps
- Implement observability (Langfuse) and checkpointing (CosmosDB) for agent state recovery
- Collaborate on architecture, prompt design, and compliance guardrails
Must-Have
- 3+ years Python building production services
- Hands-on experience with LLM APIs (OpenAI / Anthropic / Azure OpenAI)
- Strong prompt engineering and structured output design
- Experience with LangChain / LangGraph / CrewAI / AutoGen
- Pydantic or JSON schema validation
- Docker, Kubernetes, and CI/CD experience
- Familiarity with NoSQL databases
Strong Plus
- LangGraph supervisor patterns
- LLM observability (Langfuse / Helicone)
- Azure stack: AKS, CosmosDB, Azure OpenAI
- Process mining or rule-based validation systems
- Experience in compliance-sensitive environments
- Claude Code , Cursor as tooling
Skills
PythonKubernetesNosql DatabasesJsonIf 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.
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