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In The Pocket

End-to-end digital product design and delivery

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBelgiumNo salary listedIn-person

About the Job

Requirements

  • A Master's degree in Computer Science, AI, or a related field, or a proven track record as an AI engineer.
  • Deep knowledge of and hands-on experience designing, creating, and operating large language model-based solutions, including understanding their capabilities, limitations, risks, and techniques such as prompt engineering, context engineering, and harness engineering.
  • Understanding of agents and tools, with experience with industry standards such as MCP, agentskills, and A2A.
  • Experience with retrieval and reranking, embeddings, chunking strategies, and vector databases.
  • Knowledge of software engineering best practices, including continuous integration and continuous delivery, automated testing, and infrastructure as code.
  • Knowledge of secure software practices, familiarity with OWASP, and awareness of risks specific to large language model systems, including prompt injection, data leakage through retrieval, and overly broad permissions.
  • Experience working with AI-native tooling such as coding agents, sandboxed execution, MCP, skills, and subagents.
  • Fluency in English.
  • Ability to explain technical trade-offs to non-technical people.

Responsibilities

  • Design and build AI-powered features using foundation models, including agents, multimodal retrieval systems, assistants, document analysis, and advanced search capabilities.
  • Guide AI solutions from experiments and prototypes through production deployment, integrating them into existing applications, workflows, and enterprise systems.
  • Design and implement agentic workflows, tool integrations, and context management systems that enable reliable interaction with the surrounding environment.
  • Define success criteria, measure performance, investigate failures, and continuously improve solution quality by building evaluation into the work from the start.
  • Prepare AI systems for production with attention to reliability, observability, latency, scalability, security, and cost.
  • Make engineering decisions about orchestration, model selection, context management, and human oversight, and determine when AI or conventional software is appropriate.
  • Work with clients and end-users to define evaluation criteria, support user testing, capture feedback, and translate insights into improvements.
  • Share learnings within the AI engineering practice through demonstrations, internal sessions, or written experiments, and build on colleagues’ learnings.

Desired Qualifications

  • Fluency in Dutch or French.

About the Company

In The Pocket

End-to-end digital product design and delivery

In The Pocket designs and builds digital products and platforms from start to finish, acting as a complete delivery team. They help organizations advance their digital roadmaps by offering end-to-end services in ML, strategy, architecture, software engineering, and UX, powered by an in-house group of over 200 strategists, designers, and engineers. Their process centers on delivering value to users and driving business growth, not just technology. What sets them apart is their full-spectrum, in-house capabilities that cover both strategy and execution across multiple disciplines, allowing them to manage projects from idea to deployment within one team. Their goal is to help clients create a bright digital future by shipping products that delight users and boost business results.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Ghent, Belgium
Founded
2010

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