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About the Role :We are seeking a highly skilled Technical Lead - AI/ML & Generative AI to drive the design, development, and deployment of next-generation AI solutions. The ideal candidate will have deep expertise in Python, AI/ML, Generative AI, AI Agents, Large Language Models (LLMs), and MLOps, along with proven experience leading engineering teams and delivering enterprise-grade AI applications. This role requires a strong blend of technical leadership, solution architecture, and hands-on development experience.Key Requirements :- IT experience with a strong focus on AI/ML and software engineering.- 7+ years of hands-on experience in Python development.- 7+ years of experience working with Docker, containerization technologies, and cloud-native environments.- 7+ years of experience with databases, including relational, NoSQL, vector, and enterprise data platforms.- Strong expertise in Generative AI, AI Agents, and Large Language Models (LLMs).- Experience leading technical teams, mentoring engineers, and driving solution delivery.- Strong communication and stakeholder management skills.Key Responsibilities :- Lead the architecture, design, and development of AI/ML and Generative AI solutions, ensuring scalability, performance, and business alignment.- Design and implement AI Agent frameworks using LangChain, LangGraph, CrewAI, and other agentic AI technologies to automate complex workflows.- Build and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, semantic search systems, and prompt engineering frameworks.- Develop and deploy AI/ML models using Python, PyTorch, TensorFlow, Hugging Face, and leading LLM platforms including OpenAI, Anthropic, Google, and open-source models.- Drive MLOps best practices, including CI/CD pipelines, model deployment, monitoring, governance, and lifecycle management using Docker, Kubernetes, and cloud-native tools.- Collaborate with business stakeholders, architects, and engineering teams to translate requirements into innovative AI-driven solutions and technical roadmaps.- Mentor and guide development teams, establish engineering standards, conduct architecture reviews, and ensure successful project delivery across AI initiatives.Mandatory Technical Skills :- Python (Expert Level)- Generative AI & Large Language Models (LLMs)- AI Agents (LangChain, LangGraph, CrewAI)- RAG Architecture & Vector Databases- Prompt Engineering- PyTorch, TensorFlow, Hugging Face- NLP & Semantic Search- FastAPI / Flask- Azure AI Services- Docker, Kubernetes, CI/CD, and MLOpsGood-to-Have Skills :- Fine-Tuning Techniques (LoRA, QLoRA, PEFT)- Model Context Protocol (MCP)- Computer Vision- Graph Databases- Streamlit, Gradio, or React- Multi-Agent Systems and Enterprise AI Platforms (ref:hirist.tech) About the Role :We are seeking a highly skilled Technical Lead - AI/ML & Generative AI to drive the design, development, and deployment of next-generation AI solutions. The ideal candidate will have deep expertise in Python, AI/ML, Generative AI, AI Agents, Large Language Models (LLMs), and MLOps, along with proven experience leading engineering teams and delivering enterprise-grade AI applications. This role requires a strong blend of technical leadership, solution architecture, and hands-on development experience.Key Requirements :- IT experience with a strong focus on AI/ML and software engineering.- 7+ years of hands-on experience in Python development.- 7+ years of experience working with Docker, containerization technologies, and cloud-native environments.- 7+ years of experience with databases, including relational, NoSQL, vector, and enterprise data platforms.- Strong expertise in Generative AI, AI Agents, and Large Language Models (LLMs).- Experience leading technical teams, mentoring engineers, and driving solution delivery.- Strong communication and stakeholder management skills.Key Responsibilities :- Lead the architecture, design, and development of AI/ML and Generative AI solutions, ensuring scalability, performance, and business alignment.- Design and implement AI Agent frameworks using LangChain, LangGraph, CrewAI, and other agentic AI technologies to automate complex workflows.- Build and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, semantic search systems, and prompt engineering frameworks.- Develop and deploy AI/ML models using Python, PyTorch, TensorFlow, Hugging Face, and leading LLM platforms including OpenAI, Anthropic, Google, and open-source models.- Drive MLOps best practices, including CI/CD pipelines, model deployment, monitoring, governance, and lifecycle management using Docker, Kubernetes, and cloud-native tools.- Collaborate with business stakeholders, architects, and engineering teams to translate requirements into innovative AI-driven solutions and technical roadmaps.- Mentor and guide development teams, establish engineering standards, conduct architecture reviews, and ensure successful project delivery across AI in
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