AI Lead

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Summary We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Python programming LLMs and Generative AI ecosystems. The ideal candidate will have strong fundamentals in machine learning deep learning and a solid understanding of modern AI pipelines involving RAG (Retrieval-Augmented Generation) LangChain/LangGraph document ingestion and vector databases. This role requires both hands-on technical expertise and strong programming discipline with the ability to design build and deploy scalable AI solutions that integrate structured and unstructured data sources into real-world intelligent applications. Roles and Responsibilities Design train and fine-tune Large Language Models (LLMs) for domain-specific applications. Implement Retrieval-Augmented Generation (RAG) pipelines for context-aware responses using enterprise data. Work with LangChain LangGraph and similar frameworks to build modular production-ready AI workflows. Develop efficient document ingestion and vectorization pipelines to index embed and query knowledge bases using vector databases like Pinecone FAISS or Chroma. AI/ML Engineering & Programming Excellence Write high-quality modular and maintainable code in Python applying strong software engineering principles. Build and optimize data pipelines for feature extraction preprocessing and model training. Apply deep learning and machine learning concepts for both traditional and generative use cases. Implement prompt engineering and context optimization strategies to enhance LLM performance. MLOps & Deployment Develop end-to-end AI workflows with CI/CD Docker and Kubernetes. Deploy models on cloud platforms (GCP Vertex AI AWS SageMaker Azure ML). Monitor and optimize performance of deployed models ensuring scalability and reliability. Collaboration & Innovation Collaborate with cross-functional teams to identify business use cases for AI solutions. Research emerging LLM techniques retrieval strategies and framework advancements. Mentor team members on Python best practices AI pipeline design and vector database integration. Primary Skills: Expert-level Python programming skills with solid understanding of algorithms data structures and OOP. Strong understanding of LLMs (Large Language Models) and transformer-based architectures. Hands-on experience with LangChain LangGraph and other LLM orchestration frameworks. Proficiency in RAG (Retrieval-Augmented Generation) design and implement.