We are looking for a hands-on AI Agent Engineer / Forward Deployed AI Engineer who can work directly with business stakeholders to understand operational challenges and design, build, and deploy production-ready AI agent solutions. The ideal candidate should have strong technical expertise in Python, Generative AI, agent orchestration, enterprise RAG, and API integrations, along with the ability to independently manage delivery from requirement discovery and solution design through development, deployment, demonstrations, and user adoption.

Engage directly with clients and business stakeholders to understand business challenges, gather requirements, and identify opportunities for AI-driven automation. Design, develop, integrate, and deploy production-grade AI agents and multi-agent workflows using modern AI frameworks and LLM platforms. Build enterprise RAG solutions using vector search, hybrid retrieval, and trusted enterprise knowledge sources. Integrate AI agents with APIs, databases, business applications, and enterprise platforms to automate real-world workflows. Own the end-to-end solution delivery lifecycle, including discovery, architecture, development, testing, deployment, and production support. Conduct client workshops, solution demonstrations, stakeholder presentations, and feedback sessions to drive adoption and continuous improvement. Establish AI evaluation, governance, monitoring, and observability practices to ensure solution quality, reliability, and performance. Collaborate with cross-functional teams to measure business outcomes and continuously enhance agent capabilities and user experience.

6–10 years of overall software engineering experience, with strong hands-on experience developing and deploying Generative AI and AI Agent solutions. Proven experience building end-to-end AI agents or agentic workflows, including solution design, development, integration, deployment, and production support. Strong Python programming skills, with practical experience developing backend services using frameworks such as FastAPI and integrating REST APIs. Hands-on experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, Microsoft Agent Framework, or equivalent technologies. Strong understanding of LLM-based applications, tool calling, multi-agent workflows, human-in-the-loop processes, and enterprise RAG architectures. Experience working with Azure OpenAI, Azure AI Foundry, GPT, Claude, or comparable LLM platforms, along with enterprise data and knowledge sources. Excellent client communication, stakeholder management, and presentation skills, with the ability to lead requirement discussions, conduct demos, and explain technical solutions to business and senior stakeholders. Demonstrated ability to independently manage delivery and translate business requirements into scalable AI solutions that achieve measurable business outcomes.