Sr.Engineer(Agentic AI)

Job Description
 
Core Technical Skills  
•    5–6 years of experience in Core Application Engineering
•    Must completed DOJO course (Only for internal candidate)
•    Minimum 2 years of hands-on experience in Agentic AI Engineering 
•    Delivered at least 2 production-grade Agentic AI applications as an Engineer 
•    Strong understanding of: Agentic AI, Multi-Agent Systems, AI Workflows, Agent Orchestration, MCP (Model Context Protocol) 
•    Hands-on experience with: LangGraph, LangChain, CrewAI & AutoGen (Good to Have)
•    Strong experience in: Prompt Engineering, RAG Architecture, AI Observability, AI Testing & Evaluation, LLM Fine-Tuning Concepts, Tool Calling & Function Calling
•    Backend Development: Python, FastAPI / Flask, REST API Development 
•    Frontend Development: React, TypeScript / JavaScript, CSS 
•     Experience with: Docker, Kubernetes, CI/CD Pipelines, GitHub / Azure DevOps, Azure Cloud Services (Document intelligence, Azure Vision, Cognitive Services etc..)
•    Database & Infrastructure: PostgreSQL / MongoDB, Redis, Vector Databases (ChromaDB, Pinecone, FAISS)
 
Key Responsibilities
•    Design and develop enterprise-grade Agentic AI applications 
•    Build and orchestrate AI agents using LangGraph and LangChain 
•    Develop scalable backend services using Python/FastAPI 
•    Build responsive frontend applications using React 
•    Develop multi-agent workflows with planning, memory, and tool integration 
•    Implement RAG-based architectures and vector search solutions 
•    Integrate LLMs with enterprise APIs, tools, and databases 
•    Implement AI observability, tracing, monitoring, and evaluation 
•    Perform prompt optimization and model performance tuning 
•    Create reusable AI workflow and orchestration components 
•    Work closely with Architects, Product Teams, and Platform Engineers 
•    Ensure scalability, reliability, and security of AI applications 
 
Engineering Expectations
•    Strong problem-solving and debugging skills 
•    Good understanding of scalable application architecture 
•    Ability to independently own engineering deliverables 
•    Experience building production-ready AI solutions 
•    Understanding of software engineering best practices 
•    Familiarity with: LangFus, PromptFo, Raggas, LangSmith, OpenTelemetry, Weights & Biases 
•    Strong communication and collaboration skills 
•    Ability to quickly learn evolving AI technologies 
•    Experience working in Agile/Scrum environments 
•    Passion for Generative AI and autonomous agent systems
•    Strong tech enthusiast with continuous learning attitude
•    Automation-first problem solving approach
•    Actively explores and adopts new tools and open to work on new areas
•    Uses AI as a force to multiply your productivity, not just an assistant