AI/ML Tech Lead

India·Indorelead

OtherTech Lead

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Quick Summary

Key Responsibilities

· Architect and design scalable, secure, and high-performance microservices using Python OR Java.

Requirements Summary

· 8+ years of experience in backend development with Python/Java· Proven experience designing and deploying microservices architectures.· Familiarity with AI/ML concepts, especially LLM

Technical Tools

OtherTech 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: