Role Overview
We are seeking an Agentic AI Engineer to support the development and deployment of enterprise-grade AI agents that assist in decision-making, automation, and knowledge workflows. This role is designed for early-career professionals eager to work with Large Language Models (LLMs) in a governed, secure, and scalable enterprise environment.
Key Responsibilities
- Support the design and implementation of agentic AI solutions using LLMs
- Develop AI agents capable of task execution, tool usage, and structured reasoning
- Integrate agents with enterprise systems (APIs, databases, ticketing tools, CRM, ERP)
- Assist in prompt engineering, agent orchestration, and workflow optimization
- Participate in testing, validation, and monitoring of AI agent performance
- Follow enterprise standards for security, compliance, and data privacy
- Maintain technical documentation and design artifact
- Proactively identify and assess opportunities for AI and automation through close collaboration with business and technical stakeholders.
- Designed and developed Agentic AI systems using LLMs and multi-agent frameworks to enable autonomous decision-making and task execution across enterprise workflows.
- Built scalable automation solutions that reduced manual effort and improved operational efficiency across multiple business processes
- Collaborate with cross-functional teams including IT, Security, Data, and Product
- Strong documentation and communication skills
- Ability to work in regulated and security-conscious environments
- Willingness to learn and adapt to enterprise AI standards
- Team-oriented mindset with attention to quality and reliability
- Authored technical documentation, design specifications, and best practices to support maintainability and scalability.
- Mentored junior engineers and contributed to code reviews and AI engineering best practices.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, AI, or related field
- 2-5 years of experience (internships or academic projects acceptable)
- Proficiency in Python or JavaScript
- Foundational understanding of Large Language Models (LLMs) and AI concepts
- Familiarity with agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI
- Basic experience working with REST APIs and structured data (JSON)
- Understanding of software development lifecycle (SDLC)