Senior AI Engineer

Job Description

Key Responsibilities

• Design, develop, and deploy AI and GenAI solutions for business use cases.
• Build and optimize LLM-based applications, AI agents, and multi-agent systems.
• Develop RAG (Retrieval-Augmented Generation) solutions using enterprise data sources and knowledge repositories.
• Integrate AI solutions with APIs, databases, business applications, and enterprise platforms.
• Evaluate, fine-tune, and monitor AI models to ensure performance, accuracy, and reliability.
• Implement Responsible AI, governance, security, and observability best practices.
• Collaborate with Data Engineers, Data Scientists, and Product teams to operationalize AI solutions.

Technical Requirements

• Strong proficiency in Python and API development.
• Experience building applications with Large Language Models (LLMs) and Generative AI technologies.
• Hands-on experience with AI Agents, Multi-Agent Systems, and RAG architectures.
• Knowledge of vector databases, embeddings, semantic search, and knowledge retrieval.
• Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or similar.
• Familiarity with prompt engineering, model evaluation, and AI application monitoring.
• Understanding of software engineering best practices, including Git, CI/CD, testing, and cloud-native architectures.
• Knowledge of AI governance, security, privacy, and Responsible AI principles.

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