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Niche GenAI skills and seniority reduce applicant density despite Pune metro location.
Specialized GenAI skills transferable across sectors but require ML/LLM domain experience.
Explicit 6–10 years requirement and specific LLM, Agentic AI, and cloud tool mandates.
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Lead design, development, and deployment of production-grade AI applications using Large Language Models (LLMs), Agentic AI, and advanced RAG architectures.
Architect scalable AI systems with multi-agent orchestration, prompt engineering, and AI tool integrations focusing on optimization of latency, token usage, and cost.
Mentor junior engineers and drive AI innovation, technical decision-making, and cross-team collaboration to deliver enterprise-grade AI solutions.
6–10 years of software development experience, with at least 3 years dedicated to AI/ML or Generative AI.
Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
Strong proficiency in Python and API development; hands-on experience with LLMs, Agentic AI frameworks, advanced RAG, prompt engineering, vector databases, and Model Context Protocol (MCP).
Experience with cloud AI platforms such as Azure OpenAI Service, Azure AI Foundry, and frameworks like LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
Experienced technically hands-on senior engineer capable of architecting and optimizing complex AI/ML production systems using modern GenAI technologies.
Comfortable working with multi-agent orchestration, prompt engineering strategies, and scalable AI application deployment within enterprise environments.
Demonstrated leadership in mentoring engineers and guiding AI technology adoption with expertise in cloud AI services and advanced AI frameworks.