Description

You will build and deploy scalable AI solutions using deep expertise in Python, LLMs, and Generative AI.

This role is on-site.

Responsibilities

• Design, train, and fine-tune Large Language Models (LLMs) for domain-specific applications.
• Build pipelines for context-aware responses utilizing enterprise data via RAG patterns.
• Work with LangChain/LangGraph to create modular, production-ready AI workflows.
• Develop document ingestion and vectorization pipelines to index knowledge bases using vector databases.
• Develop end-to-end AI workflows incorporating CI/CD for model deployment.

Required Skills

• 8+ years of professional experience in AI/ML engineering.
• Expert proficiency in Python programming and software engineering principles.
• Hands-on experience with LLMs and Generative AI ecosystems.
• Familiarity with MLOps practices, CI/CD, Docker, and Kubernetes.
• Experience implementing data pipelines for feature extraction and model training.
• Knowledge of deep learning and machine learning concepts.
• Ability to apply prompt engineering and context optimization strategies.
• Experience with vector databases (e.g., Pinecone, FAISS, Chroma).
• Strong grasp of Data Structures.

Key Skills

Education

Any Gradute