Roles & Responsibilities

- Design, develop, and deploy scalable AI/LLM applications and APIs using Python.
- Develop and integrate REST APIs for AI-powered applications and services.
- Build and implement Generative AI, conversational AI, and chatbot solutions using modern LLM technologies.
- Design and develop RAG (Retrieval-Augmented Generation) and Agentic AI solutions.
- Work hands-on with AWS Bedrock, Azure OpenAI, LangChain, LangGraph, and MCP to build production-ready AI applications.
- Develop AI agents and integrate MCP servers and agent-based workflows where required.
- Integrate LLMs and AI capabilities into enterprise applications through APIs and cloud services.
- Design effective prompts, agent instructions, workflows, and orchestration patterns for AI applications.
- Troubleshoot, debug, optimize, and enhance AI applications for performance, scalability,



reliability, and response quality.
- Collaborate with cross-functional teams to understand business requirements and deliver AI solutions rapidly.
- Participate in the complete development lifecycle, including design, development, integration, testing, deployment, and production support.
- Stay updated with emerging developments in Generative AI, LLMs, AI agents, RAG, and cloud-based AI platforms.
- Work independently with minimal supervision while delivering high-quality solutions in a rapid-paced, high-performance environment.
- Effectively communicate technical concepts, project updates, and solutions to technical and non-technical stakeholders.

📌 Senior Software Engineer - AI Engineer (Gurugram)
🏢 Ensoft Consulting Pte
📍 Gurugram