Coforge is seeking a highly skilled Senior AI Engineer to design, build, and deploy our next generation of intelligent systems. This role involves the end-to-end development of enterprise-grade AI agents and sophisticated multi-agent RAG pipelines, leveraging the Azure ecosystem and advanced machine learning frameworks to solve complex financial challenges.
Responsibilities:
- Build, configure, and deploy enterprise-grade AI agents utilizing Azure AI Foundry SDKs and declarative Copilot Studio Agents
- Develop robust multi-agentic RAG systems leveraging advanced frameworks, including LangChain, LangGraph, CrewAI, and Semantic Kernel
- Implement intelligent Smart Search systems for fast retrieval over unstructured data (such as PDFs, images, and scanned documents) using RAG and multimodal LLMs
- Engineer specialized automated agents, such as Data Analyst Agents for insight generation across structured datasets
- Build, and deploy robust MCP-compatible FastAPI microservices
- Integrate Agent-to-Agent (A2A) protocols and SSE-based streaming logs to ensure modular, scalable orchestration between system components
- Create and maintain custom developer tools, including Visual Studio Code extensions, for automated code generation, QA validation, and workflow acceleration
- Set up and optimize Azure ML project integrations, CI/CD pipelines, and cloud deployments to enable real-time applications
Requirements:
- Extensive hands-on background in Generative AI, LLMs, Machine Learning, and Deep Learning neural networks
- Advanced programming proficiency in Python, alongside experience with tools like VSCode, JupyterLab, Kubernetes, and Spark
- Deep, practical knowledge of deploying AI workloads on the Azure stack, specifically utilizing Azure AI Foundry, Azure ML Studio, and Azure Databricks
- Proven experience developing solutions powered by top-tier models like GPT-4.0/4.1, Claude, and Phi-4
- Strong grasp of Agile methodologies, test-driven development, and the full software development life cycle (SDLC)