GEN AI/ AGENTIC AI Engineer

About

Roles & Responsibilities

• Build end-to-end GenAI applications using LLMs (text, documents, Q&A, summarization, extraction)
• Implement RAG pipelines: data ingestion, chunking, embeddings, vector search, and grounded responses
• Develop APIs and microservices to integrate GenAI solutions with enterprise systems
• Implement structured outputs, function calling, and prompt frameworks
• Support evaluation, testing, monitoring, and continuous improvement of GenAI solutions
• Collaborate closely with the GenAI Architect and Agentic AI Engineers
• Design and implement agentic AI workflows (planning execution observation iteration)
• Build tool-using AI agents integrated with APIs, data sources, and enterprise systems
• Implement multi-agent or orchestrated agent architectures where required
• Combine Agentic AI with RAG for grounded, enterprise-safe responses
• Implement guardrails, safety checks, and evaluation mechanisms
• Debug, optimize, and operationalize agentic workflows in production

Qualifications

• GEN AI & AGENTIC AI build & Implementation experience
• Hands-on experience with LLMs and RAG architectures
• Experience with vector databases and semantic search
• Practical understanding of prompt engineering and evaluation
• Hands-on experience building agentic or multi-step AI workflows (not just prompting)
• Experience with orchestration frameworks and tool calling
• Understanding of AI safety, guardrails, and reliability patterns
• Ability to operationalize AI agents at enterprise scale