AI/ML Engineer - Generative AI Solutions

Key Responsibilities :

• Design, develop, and deploy scalable AI/ML and Generative AI solutions.

• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using modern frameworks and vector databases.

• Develop LLM-powered applications leveraging prompt engineering, AI agents, and multi-agent workflows.

• Fine-tune, evaluate, and monitor machine learning and deep learning models.

• Build REST APIs and backend services for AI applications.

• Design data preprocessing, feature engineering, and model evaluation pipelines.

• Integrate structured and unstructured data sources to deliver contextual AI solutions.

• Collaborate with cross-functional teams including Data Engineering, DevOps, and Product teams.

• Ensure scalability, reliability, and performance of AI applications in production environments.

Tech Stack :

• Programming: Python, SQL.

• Frameworks: FastAPI, Scikit-learn, TensorFlow, PyTorch, Keras, LangChain, LangGraph.

• GenAI/LLM: Prompt Engineering, RAG Architectures, Agentic AI, OpenAI APIs, Hugging Face, LangSmith.

• Vector Databases: Pinecone, FAISS.

• Cloud & DevOps: AWS (EC2, S3, SageMaker, Bedrock), Docker, Git, JIRA, CI/CD.

Requirements :

• 2-5 years of overall experience.

• Minimum 1+ year of hands-on experience in GenAI/LLM projects.

• Strong understanding of software engineering best practices and Agile methodologies.