Technical Lead-AIML

Role: AI/ML Technical Lead

Skill Requirements

Mandatory Technical Skills

• Strong hands-on experience in Python, APIs, microservices, backend integration, modular application design, debugging, and production-grade development.
• Deep expertise in Generative AI, Large Language Models, prompt engineering, embeddings, token management, structured outputs, and LLM-based application development.
• Proficiency with agentic frameworks, including LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent orchestration tools.
• Experience integrating LLMs through cloud AI services and model APIs (AWS Bedrock, Amazon SageMaker, Azure OpenAI, Google Vertex AI, OpenAI APIs, Anthropic APIs, or open-source endpoints).
• Ability to lead technical discussions, conduct design reviews, mentor engineers, estimate work, manage technical risks, and communicate with stakeholders.

Essential Qualifications

• 5–12 years of relevant experience in GenAI development, AI engineering, Python/backend development, ML/NLP application development, enterprise automation, or technical leadership roles.
• Demonstrated hands-on experience building, integrating, evaluating, or deploying GenAI, RAG, Agentic RAG, AI assistant, chatbot, document intelligence, or automation agent solutions.
• B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, Software Engineering, or any other relevant engineering stream.
• Equivalent qualifications such as BCA / MCA / M.Tech / M.Sc. in Computer Science, Information Technology, Artificial Intelligence, Data Science, Machine Learning, Software Engineering, or related disciplines from a recognized institution.