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/Java 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 OR Java. · 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: · 8+ years of experience in backend development with Python/Java · 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