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
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