Custom AI Agents Developer

Korefocus; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

A leading company is seeking an experienced software engineer to design and build AI solutions that optimize business processes. This role involves integrating AI agents into existing systems and ensuring their performance post-deployment. Candidates should have 2–5 years of relevant experience and a strong grasp of Python, integration, and AI methodologies.

Qualifications

• 2–5 years of experience in software engineering or AI applications.
• Hands-on experience with AI agent frameworks.
• Strong background in Python is essential.

Responsabilités

• Develop and deploy custom AI agents using frameworks like LangChain.
• Integrate agents with APIs and enterprise platforms.
• Collaborate with Tech Leads and AI Transformation Consultants.

Connaissances

Python

REST API integration

prompt engineering

integration of AI agents

Outils

LangChain

CrewAI

AutoGen

vector databases

Description du poste

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

Requirements

• 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

To be discussed