Agentic AI Engineer

Job Title : Agentic AI Engineer

Location : PAN India (Onsite)

Job Type : C2H

Experience Required

• Total Experience: 6+ Years
• Relevant Experience: 1–2+ Years in Agentic AI / GenAI Systems

Role Overview

We are looking for a highly skilled and hands-on Agentic AI Engineer with strong coding fundamentals and practical experience building, debugging, and validating GenAI-driven systems.

This is a hands-on engineering role focused on AI systems, automation, LLM workflows, prompt engineering, AI output validation, and intelligent agent-based implementations. The ideal candidate should have strong expertise in Python, AI workflows, automation scripting, and debugging real-world AI system behavior.

This role requires someone who can work deeply with Agentic AI systems, prompts, APIs, logs, datasets, and AI-driven automation pipelines.

Key Responsibilities

• Design, build, and optimize Agentic AI and LLM-driven workflows.
• Develop automation scripts and AI-driven processing pipelines.
• Work with prompts, response validation, and AI output evaluation.
• Analyze logs, datasets, API responses, and AI-generated outputs to identify issues and optimize system behavior.
• Debug and troubleshoot AI/LLM workflows and runtime behavior.
• Contribute to intelligent automation and LLM-assisted workflows.
• Build scalable and maintainable AI-driven solutions using modern GenAI frameworks.
• Collaborate with engineering and AI teams to improve AI system reliability and performance.
• Handle edge-case analysis, hallucination detection, and output consistency validation.
• Work in rapidly evolving AI environments and contribute to innovation initiatives.

Must-Have Skills & Experience

• Strong hands-on coding skills (Python preferred).
• Strong scripting capability for:
• APIs
• Logs
• Datasets
• AI outputs
• Hands-on experience with GenAI / LLM systems.
• Experience with prompts, output validation, and real-world AI implementations.
• Strong debugging and analytical problem-solving skills.
• Experience building or working with AI automation workflows.
• Strong understanding of modern AI/LLM engineering concepts.
• Ability to independently analyze and troubleshoot AI system behavior.

Nice-to-Have Skills

• Experience with:
• RAG pipelines
• Vector databases/search
• Embeddings
• Agentic workflows
• Prompt evaluation
• Hallucination detection
• Exposure to frameworks such as:
• LangChain
• LangGraph
• CrewAI
• AutoGen
• Experience with AI observability and monitoring tools.