Senior AI Developer
Location: Chennai
Work Mode: Work From Office (WFO)
Experience: 6–7 Years
Employment Type: Full-Time
Job Summary: We are looking for an experienced Senior AI Developer with 6–7 years of experience in software development and strong hands-on expertise in Generative AI, Large Language Models (LLMs), RAG, Vector Databases, and Agentic AI. The ideal candidate should have strong proficiency in Python and experience building production-ready AI solutions involving LLMs, embedding models, vector search, multi agent orchestration, MCP, tool calling, and RAG pipelines. Knowledge of the Trading/Financial domain is highly preferred. Key Responsibilities Design, develop, and deploy AI/GenAI applications using Python and LLM technologies. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases. Work with embedding models and vector databases to implement semantic search and knowledge retrieval solutions. Design and develop multi-agent AI systems using agent orchestration frameworks and patterns. Implement MCP (Model Context Protocol), tool calling, and function calling to enable LLMs to interact with external tools, APIs, and data sources. Integrate and work with various LLM models and APIs. Develop scalable AI workflows that combine LLMs, retrieval systems, tools, and autonomous agents. Evaluate and improve model responses, accuracy, relevance, latency, and overall system performance. Develop APIs and backend services to integrate AI capabilities into applications. Collaborate with product managers, data engineers, software engineers, and business stakeholders to understand requirements and deliver AI solutions. Troubleshoot, optimize, and maintain AI applications in production environments. Follow best practices for security, scalability, monitoring, testing, and deployment of AI solutions. Mandatory Skills 6–7 years of overall software development experience Strong hands-on experience with Python Experience working with Large Language Models (LLMs) Strong understanding of Embedding Models Hands-on experience with Vector Databases Experience developing RAG (Retrieval-Augmented Generation) applications Experience with Multi-Agent Orchestration / Agentic AI Hands-on knowledge of MCP (Model Context Protocol) Experience with Tool Calling / Function Calling Good understanding of LLM application architecture and AI workflows Knowledge/experience in Trading or Financial domain is highly preferred Good to Have / Optional Skills JavaScript DBMS / SQL Caching technologies Docker / containerization AWS S3 / Cloudflare R2 or similar object storage REST APIs / backend development Cloud platforms and AI deployment Preferred Candidate Profile Strong problem-solving and analytical skills. Experience building production-grade GenAI applications, not just POCs. Good understanding of LLM limitations, prompt engineering, retrieval, grounding, and evaluation. Ability to work independently and collaborate effectively with cross-functional teams. Exposure to financial markets, trading systems, capital markets, or related financial applications will be an advantage. Education Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field. Keywords Python | Generative AI | AI Developer | LLM | Large Language Models | RAG | Retrieval Augmented Generation | Embedding Models | Vector Database | Agentic AI | Multi-Agent Systems | MCP | Model Context Protocol | Tool Calling | Function Calling | Trading Domain | Financial Domain | Docker | SQL | JavaScript | S3 | R2
Pay: ₹1,200,000.00 - ₹1,500,000.00 per year
Work Location: In person
