AI/ML Tech Lead

Position:- AI/ML Tech Lead Location: Indore, India (Hybrid) Job Type: Full Time Exp Level- 6+ Years Required Skills- Data Scientist, MCP ( Model Context Protocol ) , Agentic AI, LLM understanding, RAG.

Architecture end to end, built systems which run in productions.

• We are seeking a highly skilled AI/ML Leader with a strong foundation in Python and microservices architecture, who can bridge the gap between traditional backend systems and modern AI/ML platforms.

  The ideal candidate will have experience or a strong interest in LLM-based frameworks (e.g., LangChain, Agentic AI), and be capable of designing scalable, intelligent solutions that integrate with major AI platforms.

• Key Responsibilities: · Architect and design scalable, secure, and high-performance microservices using Python.
• · Collaborate with AI/ML teams to integrate LLM-based tools and frameworks into enterprise applications.
• · Understand and work with MCP ( Model Context Protoco) , A2A (Agent-to-Agent) communication, and LLM orchestration frameworks like LangChain and Agentic AI.
• · Evaluate and recommend AI platforms and tools for enterprise use cases.
• · Translate business requirements into technical solutions that leverage both traditional and AI-driven components.
• · Lead technical discussions with stakeholders, including product managers, data scientists, and platform teams.
• · Ensure architectural alignment with enterprise standards and best practices.
• Required Skills & Experience: · 5 + years of experience in backend development with Python.
• · Proven experience designing and deploying microservices architectures.
• · Familiarity with AI/ML concepts, especially LLMs, prompt engineering, and AI agents.
• · Understanding of LangChain, Agentic AI, or similar LLM orchestration frameworks .
• · Experience integrating with AI platforms (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face).
• · Strong understanding of API design, event-driven systems, and cloud-native architectures.
• · Excellent communication and stakeholder management skills.
• Production-level RAG implementation experience.
• · Hands-on experience with LLM-based applications or AI agent frameworks.
• · Exposure to MCP, A2A, or similar AI infrastructure concepts.
• · Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
• · Knowledge of data pipelines and AI model lifecycle management Nice-to-Have / Big Plus: Experience with MCP, A2A , or similar AI infrastructure concepts Knowledge of data pipelines & AI model lifecycle management Prior experience architecting enterprise AI platforms Why Join Us?

  Work on real production AI systems , not just POCs Design next-gen Agentic & LLM-powered architectures High ownership, high impact role Flexible Hybrid / Remote setup Collaborate with strong engineering & AI talent Powered by JazzHR