Senior Artificial Intelligence/Machine Learning Engineer

Key Responsibilities :

- Design and implement LLM-powered applications using Generative AI technologies.

- Customize GPTs using Multi-Call Prompting (MCP) and tool integrations.

- Build and maintain RESTful APIs that connect to systems like Databricks (Delta Lake), SAP, vector databases, and document stores.

- Work with RAG (Retrieval-Augmented Generation) frameworks to build scalable, production-ready AI solutions.

- Write clear, maintainable API documentation using OpenAPI/Swagger.

- Ensure high standards of observability, logging, error handling, and security compliance.

- Collaborate with InfoSec and DevOps teams for secure deployment and data protection.

- Support prompt engineering, tool orchestration, and LLM tuning for performance optimization.

Required Skills :

- Strong hands-on experience with LLMs (OpenAI, Cohere, Anthropic, etc.)

- Proficiency in Python, RESTful APIs, and API standards like OpenAPI/Swagger

- Experience working with RAG architecture, vector databases (like FAISS, Pinecone, etc.)

- Familiarity with cloud platforms (Azure, AWS, or GCP)

- Good understanding of secure API design, authentication, and observability tools

Preferred Qualifications :

- Knowledge of enterprise systems like SAP or Databricks

- Exposure to prompt tuning or fine-tuning LLMs

- Prior experience working in AI/ML product development teams