About the RoleWe are seeking a skilled AI Engineer to join our team and drive the development, deployment, and evolution of advanced autonomous AI agent systems.As a technical leader, you will be responsible for architecting, building, and overseeing AgenticAI systems across the full lifecycle—from research/PoC to robust production platforms. You will bring strong experience in agent frameworks, orchestration of LLMs and AI services, and deploying scalable AI agents in production environments.The ideal candidate combines deep expertise in LLM Orchestration, Big Data Engineering, Data Science and full-stack Software Engineering, with a proven ability to deliver real-world agentic AI solutions.In this role, you will have the opportunity to lead scrum teams, mentor colleagues, and drive quality under tight deadlines. You will also collaborate with stakeholders to identify key opportunities for autonomous agent solutions across the organization.Key ResponsibilitiesDesign, develop, and deploy agentic AI services from PoC to productionArchitect and build agent flows, LLM orchestration, and multi-agent systems using frameworks such as LangChain, CrewAI, AutoGen, Google-ADK etc.Evaluate and optimize agent strategies for real-world business challengesImplement CI/CD, AgentOps pipelines for agent lifecycle management, monitoring, evaluation and continuous improvement using LLMJudge concepts and AgentOps frameworks such as MLFlow 3.0, LangFuse, etc.RequirementsBachelor's or master's in computer science, machine learning, engineering, or a closely related domainAdvanced coding skills in Python (preferred) or Java, with expertise in agentic/LLM frameworksExperience with multi-agent and LLM orchestration toolkits (e.g. LangChain, CrewAI, Haystack, AutoGen, etc.)Deep understanding of autonomous systems, agent architectures, and distributed computing for Big Data and AIWhat We OfferA dynamic and collaborative work environmentOpportunities for professional growth and developmentA competitive salary and benefits package