Job Description
AI Engineer / Agentic AI Developer
Location: Kolkata
Mode: Hybrid
Job Description:
Role Overview We are seeking a highly skilled Senior AI Engineer / Agentic AI Developer to design, build, and productionize intelligent autonomous AI systems for enterprise use cases.
The ideal candidate must have strong experience in LLMs, RAG, vector databases, multi-agent orchestration, backend engineering, and cloud deployments.
This role blends AI solution engineering, agent development, and architecture. Key Responsibilities Architect and implement AI-powered autonomous agent workflows across enterprise processes.
Design multi-agent pipelines with planning, memory, tool calling, and human-in-the-loop controls.
Build and optimize RAG pipelines (chunking, hybrid search, ranking, retrieval validation, grounding).
Develop API-driven backend services using Python (FastAPI / Flask). Integrate agents with enterprise APIs, CRMs, ERPs, ITSM systems, and productivity tools.
Deploy on Azure / AWS / GCP, ensuring scalability, observability, and security compliance.
Implement LLMOps & governance, monitoring, risk controls, evaluation, prompt versioning, and safety.
Optimize latency, cost efficiency, response confidence, and hallucination reduction.
Contribute to internal accelerators, reusable pipelines, and best-practice frameworks.
Mentor junior team members and collaborate with business, product, and engineering stakeholders.
Core Technical Skills Required Python (advanced) backend services and AI integration
LLMs & Model Platforms:
OpenAI, Azure OpenAI, AWS Bedrock, Google Gemini, Google AI Studio, Claude, Mistral Agentic AI & Automation
Tools: LangChain, LangGraph, LangFlow, Copilot Studio, n8n, ADK (Agent Development Kit) Vector Search & RAG.
Technologies: FAISS, ChromaDB, Pinecone, Weaviate, Azure AI Search AI
Development Platforms: Azure AI Foundry, Google AI Studio, Hugging Face, Ollama (preferred)
Backend & Microservices: FastAPI / Flask / REST / GraphQL
Databases: PostgreSQL / MongoDB / Redis Containers & CI/CD: Docker / Kubernetes / GitHub Actions / Azure DevOps Good to Have Experience with model fine-tuning / LoRA / QLoRA / PEFT Agent evaluation
Frameworks: Ragas / DeepEval / PromptFoo Experience with document automation pipelines (OCR, PDFs, invoices, email processing) Familiarity with DevOps + security + RBAC implementation for AI platforms Hands-on experience with streaming & event-driven architecture
