GEN AI and AGENTIC AI Engineer

Job Description

Must Have Technical/Functional Skills

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

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

Salary Range: $130,000 to $170,000 per year

Qualifications: BACHELOR OF COMPUTER SCIENCE