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 We are seeking a highly skilled AI/ML Leader with a strong foundation in Python and microservices architecture, capable of bridging 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 Protocol), 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.

·        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.

·        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

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