Senior AI Engineer

Koda Tech; Antwerpen; Sur place; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Koda Tech in Belgium is building a next-generation AI platform that enables secure enterprise AI use across the business. As Senior AI Engineer, you will help design the core AI services powering intelligent apps and autonomous agents, balancing production-readiness with scalable, governable AI.

You will work with architects, software engineers and AI specialists to create a secure, scalable AI ecosystem, build agent orchestration, governance controls and evaluation frameworks for safe

Qualifications

• 5+ years of commercial software engineering experience.
• Minimum 2 years building and deploying AI or LLM-based applications in production environments.
• Strong Python development experience, ideally with FastAPI or similar frameworks.
• Experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI or similar.
• Strong knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Experience working with embeddings, vector databases and semantic search technologies.
• Understanding of prompt engineering, evaluation frameworks and LLM optimisation techniques.
• Experience deploying applications using containers and cloud-native technologies.
• Knowledge of software engineering best practices including testing, CI/CD and observability.
• Strong communication skills and the ability to work within cross-functional teams.

Responsabilités

• Design and develop agent-based AI systems using modern orchestration frameworks.
• Build and optimise Retrieval-Augmented Generation (RAG) pipelines using vector search and enterprise knowledge sources.
• Develop scalable backend services in Python and FastAPI.
• Implement AI governance, security controls and guardrails to ensure safe and responsible AI usage.
• Engineer integrations with multiple Large Language Models and AI providers.
• Develop evaluation frameworks, automated testing and monitoring solutions for AI applications.
• Create tooling for prompt management, model routing and AI service management.
• Collaborate with software engineering, architecture and product teams to translate AI concepts into production-ready solutions.
• Improve performance, reliability and scalability of AI services running in containerised environments.
• Contribute to architectural decisions and establish engineering best practices within the AI platform.

Connaissances

Python (FastAPI)

LangChain

LangGraph

CrewAI

RAG architectures

Embeddings

Vector databases

Semantic search

Prompt engineering

LLM optimisation

CI/CD

Observability

Container deployment

Cloud-native

Outils

Elasticsearch/OpenSearch

Description du poste

A leading Belgian organisation is building a next-generation AI platform designed to enable employees to securely leverage artificial intelligence across the business. The platform will provide a centralised environment for developing, deploying and governing AI solutions, with a strong focus on scalability, security and responsible AI practices.

As a Senior AI Engineer, you will join a newly established AI Engineering team responsible for developing the core intelligence layer that powers AI applications, assistants and autonomous agents across the organisation.

This is a hands-on engineering role suited to someone who enjoys building production-grade AI systems rather than focusing solely on research.

The Role

You will be responsible for designing and developing the central AI services that enable intelligent applications to reason, retrieve information and take action.

Working closely with architects, software engineers and AI specialists, you will help create a secure and scalable AI ecosystem capable of supporting multiple business-critical use cases.

You will play a key role in building agent orchestration frameworks, retrieval systems, AI governance controls and evaluation frameworks that ensure AI solutions can be safely deployed into production environments.

Key Responsibilities

• Design and develop agent-based AI systems using modern orchestration frameworks.
• Build and optimise Retrieval-Augmented Generation (RAG) pipelines using vector search and enterprise knowledge sources.
• Develop scalable backend services in Python and FastAPI.
• Implement AI governance, security controls and guardrails to ensure safe and responsible AI usage.
• Engineer integrations with multiple Large Language Models and AI providers.
• Develop evaluation frameworks, automated testing and monitoring solutions for AI applications.
• Create tooling for prompt management, model routing and AI service management.
• Collaborate with software engineering, architecture and product teams to translate AI concepts into production-ready solutions.
• Improve performance, reliability and scalability of AI services running in containerised environments.
• Contribute to architectural decisions and establish engineering best practices within the AI platform.

Requirements

Essential

• 5+ years of commercial software engineering experience.
• Minimum 2 years building and deploying AI or LLM-based applications in production environments.
• Strong Python development experience, ideally with FastAPI or similar frameworks.
• Experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI or similar.
• Strong knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Experience working with embeddings, vector databases and semantic search technologies.
• Understanding of prompt engineering, evaluation frameworks and LLM optimisation techniques.
• Experience deploying applications using containers and cloud-native technologies.
• Knowledge of software engineering best practices including testing, CI/CD and observability.
• Strong communication skills and the ability to work within cross-functional teams.

Desirable

• Experience within financial services or other regulated environments.
• Understanding of AI security concepts including prompt injection, data protection and responsible AI.
• Experience with Elasticsearch, OpenSearch or vector database technologies.
• Knowledge of Kubernetes, OpenShift or container orchestration platforms.
• Experience building enterprise-grade AI platforms or internal AI products.

What's on Offer

• Opportunity to join a high-impact AI transformation programme.
• Work on cutting-edge Generative AI and Agentic AI initiatives.
• Collaborate with experienced engineers, architects and AI specialists.
• Long-term career progression within a growing AI function.
• Significant ownership and influence over technical decisions.
• Competitive salary and comprehensive benefits package.
• Modern working environment with strong investment in innovation and technology.