Senior Gen-AI Engineer

Job description

An exciting opportunity to join our client's team at a fast-growing digital product engineering company with a global presence in 33 countries and over 19,000 experts dedicated to building inspiring products and services. We are looking for a Senior Gen-AI Engineer to join this organization.

Responsibilities

• Design, develop, and maintain scalable Python-based APIs and backend services using FastAPI and related frameworks.
• Build, deploy, and optimize production-grade LLM applications using providers such as OpenAI and Anthropic.
• Design and implement end-to-end RAG solutions, including vector databases, semantic search, retrieval optimization, and chunking strategies.
• Develop and manage secure, scalable MCP servers and AI infrastructure.
• Build and orchestrate multi-agent systems to automate complex workflows and business processes.
• Create, test, and refine prompts, agent instructions, and LLM interactions to improve solution quality and performance.
• Leverage AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate software delivery and engineering efficiency.
• Implement event-driven architectures, messaging systems, and real-time communication patterns.
• Monitor, troubleshoot, and optimize AI and backend systems for performance, reliability, scalability, and security.
• Collaborate with cross-functional teams to deliver innovative AI solutions and establish engineering best practices.

Requirements

• 8+ years of experience developing APIs with Python.
• 2+ years of experience developing and experimenting with LLMs.
• Hands-on, daily use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents) to write and refactor code, automate workflows, and optimize engineering processes.
• Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI.
• Grounding in NLP and machine learning as they relate to building LLM systems.
• Strong experience working with key LLM models APIs (e.g., OpenAI, Anthropic).
• Experience building, deploying, and securing MCP servers at scale.
• Understanding of multi-agent systems and their applications in complex problem-solving scenarios.
• Designing and implementing RAG systems end to end vector databases, semantic search, retrieval quality, and chunking strategy.
• Solid understanding of security best practices for backend systems, including authentication and data protection.

In addition to the salary, the company offers the following benefits

• Access to private medical services.
• Sports benefits - discounts/membership for specialized vendors, wellbeing initiatives related to sport, wellbeing workshops and participation in sports events.
• Referral bonus through our special internal programme.
• Access to legal assistance and counseling services.
• Lunch tickets.
• Vacation time based on seniority with potential to increase depending on tenure in our company.
• Access to e-learning platforms and various training programs.

What is RSight®

RSight® is a next-generation recruitment solution, committed to the values of fairness, transparency, and human-centric hiring. RSight® aims to redefine recruitment, putting people and potential at the heart of every opportunity.

Application Instructions

Please submit your resume (mandatory) outlining your qualifications and interest in the position. Only candidates selected for interviews will be contacted.

Desired profile

More than 8 years of experience in API development with Python. More than 2 years of experience in developing and experimenting with language models (LLMs). Daily use of AI-assisted coding tools (such as Claude Code, Cursor, GitHub Copilot, autonomous coding agents) to write and refactor code, automate workflows, and optimize engineering processes. Strong experience with Python, especially in building REST APIs with frameworks like FastAPI. Knowledge of natural language processing (NLP) and machine learning related to building LLM systems. Experience with the APIs of the main LLM models (such as OpenAI, Anthropic). Experience building, deploying, and securing MCP servers at scale. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Design and implementation of end-to-end RAG systems: vector databases, semantic search, retrieval quality, and slicing strategy. Good understanding of security best practices for backend systems, including authentication and data protection.

About rsight

An optimized combination between Human & Digital RSight® is bringing the recruitment to another level of experience and interaction, offering a unique recruitment experience for each client, candidate and partner. By leveraging the latest technologies and Artificial Intelligence, RSight provides recruiting organizations and individuals with an augmented quality of service and go beyond the current industry possibilities.