Gen AI Engineer

• Programming languages (Python / PySpark)

• Machine learning algorithms and architectures

• Vector DB, RAG Pipeline - Architecting and implement RAG pipelines, integrating enterprise data with retrieval layers and language models.

• Agentic AI System - Building and scaling Agentic AI systems capable of autonomous task planning, execution, and feedback loops.

• Experience in Fine-tuning or training language models using enterprise datasets, optimizing for accuracy, efficiency, and business alignment.

• Guardrails - Design and implement guardrails for AI safety, including hallucination detection, prompt policy enforcement, and access controls.

• Agile Development - Collaborate cross-functionally using Agile workflows and contribute to rapid prototyping, iteration, and deployment

• Experience in LLM’s, Prompt Engineering, RLHF, and monitoring frameworks

• Experience with cloud AI ecosystems: Azure OpenAI, AWS Bedrock, Google Vertex AI

• Natural Language Processing (NLP) techniques (text analysis, summarization)

Roles & Responsibilities

• Interact with customers to understand requirements

• Design, develop, and deploy AI / GenAI / Agentic systems.

• Integrate machine learning models / LLM into applications.

• Optimize and monitor AI system performance.

• Ensure system scalability and reliability.

• Collaborate with offshore team, data scientists and MLOps engineers