Hello Dear,
Great Opportunity 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
· Build: Develop LLM-based applications and multi-step agentic workflows using frameworks such as Microsoft Agent Framework, AutoGen, LangChain, LangGraph, LlamaIndex, or CrewAI
· 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
· Guardrails & Hallucination Control: Apply output validation, guardrails, and hallucination-detection techniques to ensure reliable, production-safe AI outputs
· Token Optimization: Apply prompt compression, context window management, and response caching to control inference cost and latency
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
· Experience: 3+ years in software engineering, data engineering, or ML; at least 1 year building LLM/Gen AI applications
· 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 9427907672
[email protected]
Pay: ₹2,000,000.00 - ₹2,500,000.00 per year
Work Location: Hybrid remote in Delhi
