Agentic AI Engineer

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 large language models (LLMs), retrieval systems, and agent frameworks.
• Optimize performance, scalability, and reliability of AI-enabled applications.
• Implement testing, monitoring, and observability practices for AI systems in production.
• 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 principles, AI governance, security, and compliance best practices.
• Strong analytical, problem-solving, and communication skills.