Agentic AI Engineer

Job Overview

We are seeking an experienced Agentic AI Engineer to design, develop, and support enterprise-scale AI applications leveraging agent-based architectures and Large Language Models (LLMs).

This role will focus on building intelligent, autonomous systems that enhance customer experiences and drive innovation within enterprise applications. The ideal candidate will have strong software engineering fundamentals, hands-on experience with Agentic AI frameworks, and expertise in developing production-grade AI solutions within large, highly regulated environments.

Key Responsibilities

• Design, build, and maintain Agentic AI applications and intelligent automation solutions.
• Develop and support production-grade applications using Python and Java.
• Design and orchestrate multi-agent workflows, agent collaboration patterns, and autonomous decision-making systems.
• Build integrations with enterprise tools, APIs, and external services.
• Develop AI-powered applications leveraging LLMs, retrieval systems, and agent frameworks.
• Optimize the performance, scalability, reliability, and maintainability of AI-enabled applications.
• Implement testing, monitoring, observability, and production support practices for AI systems.
• Collaborate with software engineers, architects, and product stakeholders to deliver enterprise AI solutions.
• Ensure adherence to responsible AI practices, security standards, and model governance requirements.
• Troubleshoot and resolve issues across AI applications and supporting infrastructure.

Required Qualifications

• 7+ years of software engineering experience.
• Strong hands-on programming experience with Python and Java.
• Proven experience building, deploying, and supporting Agentic AI solutions in enterprise environments.
• Hands-on experience with:
• Python
• Java
• LangGraph
• vLLM
• Experience designing and managing multi-agent systems and autonomous workflows.
• Strong understanding of AI application architecture, LLM integration, and retrieval-based systems.
• Experience with API development, microservices architecture, and modern integration patterns.
• Experience monitoring, troubleshooting, and supporting AI-enabled applications in production.
• Knowledge of Responsible AI, AI governance, security, and compliance best practices.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience working within large-scale enterprise environments.
• Financial services or banking industry experience.
• Knowledge of cloud-native development and containerized applications.
• Familiarity with MLOps, model lifecycle management, and AI monitoring frameworks.
• Experience integrating AI solutions with enterprise software ecosystems.
• Understanding of secure software development practices and SDLC methodologies.