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We are seeking a highly motivated AI Engineer with hands-on experience in Agentic AI solutions and real-world AI deployments. The ideal candidate should possess strong analytical and problem-solving skills, be capable of translating business requirements into technical solutions, and thrive in both product development and operations environments with minimal supervision. Key Responsibilities • Design, develop, and deploy Agentic AI solutions for business and product use cases. • Build AI agents, multi-agent workflows, orchestration frameworks, and automation solutions. • Convert business requirements into scalable technical architecture and implementation plans. • Collaborate with product, engineering, operations, and client stakeholders to define and deliver AI-driven solutions. • Evaluate emerging AI technologies and recommend optimal approaches. • Troubleshoot complex technical challenges and drive root-cause analysis. • Participate in solution design, architecture reviews, and production support activities. • Ensure AI solutions meet performance, reliability, security, and scalability requirements. Required Skills & Experience • 3–5 years of Agentic AI experience. • Hands-on experience delivering production-grade Agentic AI solutions. • Strong experience with LLMs, AI orchestration frameworks, and prompt engineering. • Experience with frameworks such as LangChain, LangGraph, CrewAI, or equivalent. • Proficiency in Python and API integrations. • Experience with vector databases, RAG architectures, and AI evaluation methodologies. • Strong analytical thinking, problem-solving, and debugging skills. • Excellent verbal and written communication skills. • Ability to work independently with minimal supervision. • Demonstrated experience working on live production projects. Preferred Qualifications • Experience with cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud. • Exposure to AI governance, security, and compliance considerations. • Experience in product engineering, managed services, or operations environments. • Familiarity with MLOps, monitoring, and AI lifecycle management. Success Profile The ideal candidate: • Has very good communication skills • Thinks independently and challenges assumptions. • Can articulate complex technical concepts to both technical and business audiences. • Demonstrates ownership and accountability. • Learns quickly and adapts to evolving AI technologies. • Balances innovation with practical business outcomes.
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