Hybrid Senior AI Engineer – Generative AI, Agents

at Prosus Group

• Job title: Senior AI Engineer – Generative AI, Agents
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Google Cloud Platform, Python
• Location requirements: Hybrid, Amsterdam, Netherlands

About the role

• AI Engineer designing and building generative AI solutions with Prosus across global portfolio. Collaborating with various teams to deploy reliable and efficient AI services.

Responsibilities

• Design and implement LLM‑powered services and agentic workflows (context engineering, memory, tool use/orchestration) for real customer and operations use cases.
• Build and maintain evaluation pipelines (datasets, leaderboards, automated + human evals) to ensure quality, safety, and regression control.
• Productionize models and model APIs on cloud infrastructure (containerization, CI/CD, feature flags, canary releases, observability, incident response).
• Optimize inference for latency, throughput, and cost (batching, caching, prompt/program optimization; use of suitable inference servers).
• Implement retrieval and memory systems (vector search, session/long‑term memory) that improve agent reliability over time.
• Create data flywheels: instrument applications, collect feedback, curate datasets, run targeted fine‑tunes/adaptations, and close the loop with evals.
• Harden systems for security, privacy, and compliance (PII handling, guardrails, content filtering, auditability, documentation).
• Improve developer ergonomics (internal tooling, SDKs, prompt libraries, testing harnesses) to speed up safe experimentation.
• Collaborate cross‑functionally with product, design, and operations; participate in backlog refinement and share learnings across the stack.

Requirements

• Bachelor’s or Master’s in Computer Science/Engineering or equivalent practical experience.
• 6+ years in software/ML engineering delivering production systems with at least +2 years of experience working in complex tech infrastructure.
• Strong Python and OOP; you write clean, testable, maintainable code.
• Experience building backend services/APIs, containers (e.g., Docker), and CI/CD.
• Hands-on integrating hosted and/or open-source LLMs via SDKs or APIs into applications.
• Practical understanding of ML fundamentals (model lifecycle, metrics, failure modes) and experience adapting models or prompts to meet product goals.
• Experience with cloud infrastructure on at least one major provider (AWS/Azure/GCP). AWS experience is a plus but not required.
• Familiarity with retrieval/vector search and evaluation design (offline tests, task design, human-in-the-loop).
• Comfort measuring reliability and performance using any modern observability stack (metrics, logging, tracing).

Benefits

• The chance to build production generative AI at global scale across diverse businesses.
• A collaborative, supportive environment where innovation and initiative are encouraged.
• Modern tooling, mentorship, and clear growth paths across the Prosus portfolio.
• A diverse, inclusive workplace where all voices are heard and valued.