Hello Dear,

Great Prospect for you.!!!

Role: Agentic AI Engineer

Experience: 3+ years

Employment Type: FTE (Fixed Time Employment)

Duration: - 12 Months

Notice Period: - 15-20 days

Location: - Delhi/NCR, Bangalore & Mumbai

ROLE SUMMARY

We’re looking for a hands-on Agentic AI Engineer to build, optimize, and deploy production-grade AI solutions. In this role, you will be the engine room of our AI initiatives — taking architectural blueprints and turning them into scalable, functional systems. You will work across the full build lifecycle — from prototyping to production — collaborating with Senior Architects and data scientists to deliver AI solutions in a consulting environment.

WHAT YOU'LL DO

Agentic Development

- RAG Pipelines: Implement Retrieval-Augmented Generation pipelines: chunking, embedding, vector search, and re-ranking
- Tool Use & Memory: Build agents with tool-calling, short/long-term memory, and human-in-the-loop checkpoints
- Prompt Engineering: Design and iterate on system prompts, chain-of-thought templates, and structured output schemas
- Model Fine-tuning: Execute fine-tuning and optimization tasks (Quantization, PEFT/LoRA) to adapt foundation models for specific domain tasks

Integration & Delivery

- APIs: Expose AI capabilities via FastAPI endpoints; integrate with client data sources and third-party APIs
- Vector Databases: Manage embeddings and retrieval using Pinecone, Qdrant, or pgvector

MLOps & Productionization

- Deployment: Containerize and deploy AI services using Docker and Kubernetes on AWS / Azure cloud environments, ensuring high availability and low latency
- Observability: Implement observability for AI systems using LangSmith or Arize Phoenix, tracking accuracy, hallucinations, cost, and latency
- CI/CD: Maintain CI/CD pipelines for ML, ensuring automated testing (unit, contract, and model-quality tests) is integrated into the delivery workflow





Collaboration

- Client Delivery: Work closely with Senior Architects and Engagement Managers to translate business requirements into technical tasks and working solutions
- Code Quality: Write clean, modular Python; participate in peer code reviews and contribute to the team’s internal library of reusable AI patterns and playbooks

MUST-HAVE QUALIFICATIONS

- Python: Strong Python skills — OOP, async programming, packaging, and testing
- LLM Frameworks: Hands-on experience with at least one of: LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex
- Gen AI: Working knowledge of LLM APIs (OpenAI, Anthropic Claude, Gemini) and prompt design
- Cloud Basics: Familiarity with AWS or Azure; comfortable with REST APIs and Git-based workflows
- MLOps & Productionization: Hands-on experience deploying, monitoring, and maintaining AI systems in production — Docker/Kubernetes, CI/CD pipelines, and observability tooling are non-negotiable
- Engineering Fundamentals: Solid SQL skills, API design experience (FastAPI/Flask), and a “software engineering first” approach to ML — encompassing testing, modularity, and documentation
- Education: B.Tech / B.E. / M.Sc. in Computer Science, Information Technology, or a related field

GOOD TO HAVE

- Evaluation: Exposure to G-Eval, RAGAS, TruLens, or LangSmith for quantifying LLM output quality
- MLOps: Basic experience with MLflow or DVC for experiment tracking
- Structured Outputs: Experience with Pydantic-based output parsing and function/tool calling
- Performance Tuning: Knowledge of vLLM or Triton Inference Server for high-throughput model serving

Certifications: AWS / Azure AI Fundamentals or equivalent cloud certification

Payal Prajapati Independent HR Consultant Shree HR Services Strategic Hiring Partner | IT & Non-IT Recruitment Ahmedabad, Gujarat, India +91 (phone hidden)

Pay: ₹2,000,000.00 - ₹2,500,000.00 per year

Work Location: Hybrid remote in Mumbai, Maharashtra (Mumbai)

📌 Agentic Ai Engineer (Mumbai)
🏢 Shree Hr services
📍 Mumbai