Job Description
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 : - 510 years of experience in AI/ML roles- 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 toolsPreferred Qualifications : - Experience with GPT Builder or custom tool orchestration- 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 (ref: hirist.tech)
💡 Quick Summary
Seeking a career-building opportunity? The Senior Artificial Intelligence/Machine Learning Engineer position is now open for candidates interested in the Security Guard Jobs sector. This role in New Delhi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Security Guard Jobs is a plus.
