We are looking for a Senior Python AI/GenAI Full-Stack Developer to design and ship production-grade RAG, Agentic AI, and Intelligent Document Processing (IDP) solutions. The ideal candidate has hands-on experience architecting cloud-native, multi-agent AI systems at scale, with strong ML/DL fundamentals and enterprise compliance awareness (HIPAA/MLR or equivalent).
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(+91)74839 25904
We prefer immediate Notice Period
Job Location:Chennai/Hybrid
Key Responsibilities:
Architect and build multi-agent AI systems for enterprise automation (workflow orchestration, decisioning, grading/evaluation systems, etc.)
Design and maintain RAG pipelines for document/policy/regulatory search using vector databases and LLMs
Build Intelligent Document Processing (IDP) pipelines — OCR, entity extraction, classification — for claims, KYC, or compliance documents
Integrate LLM providers (OpenAI, Azure OpenAI, Anthropic, open-source models) into production applications
Develop and deploy agent frameworks using LangGraph, CrewAI, AutoGen, or similar
Build ML/DL models for anomaly detection, classification, fraud detection, and predictive analytics
Implement AI safety, logging, monitoring, and validation mechanisms for enterprise-grade systems
Own end-to-end delivery: data ingestion, model training/fine-tuning, API deployment, and observability
Required Technical Skills
Languages/Frameworks: Python (Pandas, NumPy, asyncio), FastAPI/Django REST/Flask
GenAI/Agentic: LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, prompt engineering, function-calling, hallucination reduction
Vector DBs: Pinecone, FAISS, Chroma, Weaviate, pgvector
ML/DL: TensorFlow, PyTorch, scikit-learn; CNNs, NLP, transformer architectures
Cloud & DevOps: AWS/Azure/GCP, Docker, Kubernetes, Terraform, CI/CD
Data Engineering: Spark, SQLAlchemy, ETL/ELT pipeline design at scale (100M+ records)
Monitoring: CloudWatch or equivalent, distributed tracing, RBAC/security design
Nice to Have
Experience with insurance/claims/underwriting or healthcare-regulated data
Bedrock Knowledge Bases or Azure AI Foundry experience
Automated testing discipline (PyTest, 85%+ coverage)
Education
Bachelor's degree in Computer Science, Engineering, or related field