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Custom AI Agents Developer at Korefocus. Mission. Design and build production-grade, task-specific workflows that bring measurable value to enterprise users. Your work will be at the heart of Korefocus’s differentiation — bringing best-in-class AI solutions into day-to-day business processes for our clients.. You will actively shape the solution architecture, evaluate and implement the right tools and protocols, lead customization and model fine-tuning when needed, and ensure seamless integration into each client's tech stack. Your responsibility doesn’t stop at launch — you'll help iterate and optimize agents post-deployment based on usage and feedback.. Key Responsibilities. . Develop, test, and deploy custom AI agents using frameworks such as . LangChain. , . CrewAI. , or . AutoGen. . . Integrate agents with APIs, vector databases, and enterprise platforms (e.g., major CRM/ERP on the market, internal SaaS tools...) . . Translate complex business processes into modular, adaptable agent workflows. . Contribute to architectural decisions around agent orchestration, tool selection, and data integration . . Collaborate closely with Tech Leads to ensure performance, scalability, and security. . Work hand-in-hand with AI Transformation Consultants to iterate on agent behavior and enhance real-world value . . Stay up to date with best practices in . prompt engineering. , . tool/function calling. , . memory and context management. , and . evaluation/feedback loops. . . . 2–5 years of experience in software engineering, backend development, or AI applications . . Hands-on experience with at least one . agent framework. (LangChain, CrewAI, AutoGen, etc.) . . . Strong skills in . Python. and REST API integration . . . Working knowledge of Model Context Protocol (MCP). — able to design and manage context flows, memory strategies, and interaction states to ensure reliable and interpretable AI behavior . . Experience with . vector databases. , . retrieval-augmented generation (RAG). architectures, and context-aware prompting . . Understanding of business processes in CRM, customer support, or pharma sales enablement . . Bonus: Familiarity with agent UX interfaces (e.g., chat surfaces or dashboards), or experience with evaluation frameworks and agent debuggers. . Company Location: France.