Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a GenAI Engineer - Agentic ERP Platform based in India. This role sits at the cutting edge of enterprise AI, focused on building intelligent agent systems that interact directly with large-scale ERP platforms such as SAP, Oracle, and JD Edwards. You will design and develop AI agents that automate complex enterprise workflows, reason over structured and unstructured business data, and support real-time decision-making. The position blends advanced LLM engineering, prompt and context design, and production-grade software development. You will work on defining how AI agents think, behave, and execute tasks safely within enterprise environments. This is a highly experimental yet production-critical role, where innovation must be balanced with reliability, security, and enterprise-grade performance. You will collaborate with engineering, product, and platform teams to build scalable AI-driven ERP capabilities. The environment is fast-evolving, deeply technical, and centered on redefining how enterprises interact with ERP systems through agentic AI. Accountabilities Design and build AI agents using Python and frameworks such as Pydantic AI to automate ERP workflows and enterprise business processes. Implement MCP-based tool integrations enabling agents to interact with ERP systems, databases, and external enterprise services. Develop multi-step agent workflows with decision branching, error handling, and human-in-the-loop escalation logic. Engineer system prompts, templates, and guardrails that define agent behavior, constraints, and enterprise-safe responses. Build and optimize context engineering strategies, including memory systems, retrieval-augmented context, and token-efficient summarization. Integrate and orchestrate LLMs using gateways such as LiteLLM, ensuring routing, fallback handling, and performance optimization. Develop evaluation f
