Technical Lead - AI/ML

Lead

Technical Lead – AI/ML

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  • Date posted
    May 30, 2026
  • Expiration date
    August 30, 2026
  • Application ends
    August 30, 2026

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 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 :

– 6+ 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.

– 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

Are you interested in this position?

 

Apply by clicking on the “Apply Now” button below!

 

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