Entry-Level AI Agent Engineering Associate
Role Overview
The Entry-Level AI Agent Engineering Associate will work with the AI Engineering and Platform teams to support the end-to-end development lifecycle for enterprise AI agents. This role provides an opportunity to contribute to the development of intelligent, enterprise-grade AI solutions while gaining hands-on experience with AI agent architectures, integrations, governance, and operational excellence.
Key Responsibilities
Assist in building AI agent workflows that can orchestrate tasks across APIs, internal tools, knowledge sources, and approval processes.
Support prompt engineering, tool/function calling patterns, retrieval design, guardrail implementation, and evaluation workflows.
Contribute to backend service integration, agent telemetry, logging, monitoring, and continuous improvement of agent performance.
Participate in testing for accuracy, security, reliability, hallucination mitigation, and production readiness.
Document solution flows, reusable components, operating procedures, and learnings for team enablement.
Qualifications & Specialization
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, AI/ML, Software Engineering, or a related engineering discipline.
Preferred Foundational Skills
Programming
Python, Java, JavaScript/TypeScript, or equivalent engineering language.
AI/ML Concepts
LLMs, embeddings, Retrieval-Augmented Generation (RAG), prompt design, model evaluation, and responsible AI fundamentals.
Cloud & Integration Basics
REST APIs, microservices, CI/CD awareness, Git, and secure development practices.
Data Handling
SQL/NoSQL fundamentals, JSON, document parsing, and knowledge-base preparation.
Unique Experience from this Role
This role provides hands-on exposure to enterprise AI transformation by creating intelligent agents that move beyond simple chat experiences into governed, integrated, and measurable automation capabilities.
Enterprise AI Agent Development
Work on real-world agent use cases involving knowledge retrieval, workflow orchestration, validation, human-in-the-loop controls, and operational monitoring.
Gain practical exposure to designing and supporting intelligent automation solutions that operate within enterprise environments.
Cross-Functional Collaboration
Collaborate with experienced AI, platform, data, and delivery teams across distributed locations.
Develop communication and stakeholder engagement skills while working in multidisciplinary teams.
AI Governance, Security & Reliability
Build practical understanding of how AI engineering is applied in BFSI environments where governance, security, auditability, and reliability are critical.
Learn industry practices for responsible AI, operational controls, and enterprise-grade AI deployment.
Professional Development & Learning Opportunities
By working in this role, individuals will gain practical exposure in:
Designing agent workflows using LLMs, tools, APIs, and enterprise knowledge sources.
Implementing RAG patterns, prompt strategies, guardrails, and evaluation criteria for reliable agent behavior.
Understanding secure integration, observability, operational support, and release-readiness for AI agents.
Preparing reusable documentation, demos, and engineering artifacts that can support broader AI adoption across the team.
Career Growth & Skill Development
This role offers a strong foundation in modern AI engineering practices and enterprise AI implementation. Team members will have opportunities to:
Develop expertise in AI agent frameworks, orchestration patterns, and enterprise integrations.
Gain hands-on experience with LLM-powered applications, retrieval systems, and AI evaluation methodologies.
Strengthen knowledge of observability, monitoring, testing, and production support for AI-enabled solutions.
Build experience working with AI, platform, data, and delivery teams across enterprise environments.
Contribute to scalable, secure, and governed AI solutions that support business transformation initiatives.
Create reusable engineering assets, documentation, and best practices that enable broader AI adoption across the organization.
This position provides an excellent pathway for building a career in AI Engineering, Generative AI, Intelligent Automation, and Enterprise AI Platform Development.
