Machine Learning Engineer – LLM & GenAI (2 to 12 yrs)

AI/ML Engineer – LLM & Agentic AI Systems

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What We Are Looking For:

• 2–12 years of experience in AI/ML with hands-on LLM and agentic AI development.
• Strong Python programming skills for AI pipelines, APIs, and integrations.
• Experience with agentic AI frameworks such as LangChain, LlamaIndex, AutoGen.
• Ability to work independently and manage full AI system development and deployment.

Responsibilities:

• Design and implement LLM-driven AI agents with memory, multi-step reasoning, and tool integration.
• Build end-to-end AI pipelines, including API interactions, scrapers, and microservices orchestration.
• Deploy production-ready solutions using FastAPI/Flask, Docker, and Git.
• Collaborate with clients and cross-functional teams to translate requirements into scalable AI solutions.
• Stay updated on latest agentic AI techniques and frameworks.

Qualifications:

• Bachelor’s or Master’s in Computer Science, AI/ML, or related field.
• 3+ years of experience in AI/ML or backend engineering, focusing on LLM-based agent systems.
• Hands-on with LangChain, LlamaIndex, AutoGen, ReAct, Tree of Thought, and similar frameworks.
• Familiar with Docker, REST APIs, AWS deployment, and Git.
• Strong written and verbal communication skills.