Job Summary

We are hiring a Lead AI/ML Developer – GenAI & Agentic AI to design and deliver enterprise-scale AI solutions, including LLM-powered applications, RAG pipelines, and autonomous AI agents.
The role requires strong expertise in Machine Learning, Generative AI, and agentic frameworks such as LangChain, LangGraph, and MCP, with a focus on building context-aware, tool-integrated, and multi-step intelligent systems.

Key Responsibilities

• Design and develop AI/ML and Generative AI solutions for enterprise use cases
• Build LLM-based applications, RAG pipelines, and AI copilots
• Develop Agentic AI systems including autonomous and multi-agent workflows
• Implement LangChain-based pipelines for LLM orchestration and tool integration
• Use LangGraph for stateful, multi-step reasoning workflows
• Design context-aware systems using MCP or similar orchestration frameworks
• Develop embedding pipelines and integrate vector databases
• Deploy models and AI systems using MLOps / LLMOps practices
• Integrate AI solutions with enterprise APIs, tools, and data platforms
• Optimize models and workflows for performance, scalability, and accuracy
• Collaborate with stakeholders to translate business needs into AI solutions
• Mentor teams and drive AI engineering best practices and reusable frame

Skill Requirements

• Strong programming expertise in Python with solid engineering fundamentals
• Hands-on experience in ML/DL (PyTorch, TensorFlow, Scikit-learn)
• Strong knowledge of Generative AI, LLMs, and prompt engineering
• Experience building RAG architectures and semantic retrieval systems
• Expertise in LangChain for LLM pipelines and integrations
• Hands-on with LangGraph for agent workflows and orchestration
• Familiarity with MCP or similar tool/context orchestration frameworks
• Experience with vector databases, embeddings, and similarity search
• Working knowledge of Azure AI / AWS / GCP platforms
• Experience in MLOps tools (MLflow, Docker, Kubernetes, CI/CD)
• Strong understanding of API integration and microservices architecture
• Ability to design scalable agent-based and enterprise AI systems

Other Requirements

Good to Have

• Microsoft Azure AI Engineer / Azure Data Scientist 
• AWS Machine Learning Specialty or Google ML Engineer
• Databricks or equivalent AI/ML certifications (optional)
• Strong communication