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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Lighthouse - **Location:** Gent, Belgium (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, BigQuery, Code Review, Continuous Integration, Data Governance, Data Infrastructure, Data Systems, Data Warehousing, Software Design Patterns, Standard Sql, Software Construction, SQL Databases, Management of Software Versions, Git, Data Analytics, Machine Learning Operations - **Published:** June 6, 2026 - **Apply:** https://www.adzuna.be/details/5753807236 ## About the Role * Proven professional experience designing and owning ML feature pipelines and the data infrastructure that supports the full ML lifecycle. * Strong working knowledge of the requirements ML imposes on data, including point-in-time correctness, feature versioning, and reproducibility. * Mastery of highly-performant, production-level SQL, with a strong preference for the BigQuery dialect. * Advanced experience with dbt or an equivalent transformation framework and modern ELT tooling like Meltano or Stitch. * Strong grounding in software engineering best practices, including Git, code review, CI/CD, and automated testing, applied to analytics and ML workflows. * Experience using AI assistants and agents to accelerate engineering work, with the ability to validate AI-generated code. * Demonstrated experience leading technical projects end-to-end and partnering with senior stakeholders to define requirements and drive decisions. * A track record of mentoring more junior engineers through code review, knowledge sharing, and on-the-job coaching. Diversity, equity, inclusion, and belonging ## Description As our new Senior AI Engineer, you will join our Strategic Analytics team and help build AI- and automation-powered solutions that improve how teams access, understand, and act on data. This role sits at the intersection of analytics engineering, applied AI, and business enablement, and is especially focused on supporting financial reporting, operational visibility, and strategic decision-making. You will work closely with analytics, data warehousing, and finance stakeholders to create scalable products and workflows on top of Lighthouse's modern data stack. This is an opportunity for someone who combines strong SQL and data modeling fundamentals with genuine curiosity for AI, a critical mindset around how it is used, and excitement for applying it in a practical, high-impact business environment. Where you will have impact * Architect and own feature pipelines end-to-end in dbt on BigQuery, ensuring reproducibility, versioning, and stability for our models. * Productionise ML data products by designing and maintaining the infrastructure that connects feature pipelines to model training, evaluation, and output. * Set the technical standard for AI and ML engineering within our data platform by defining and documenting design patterns and best practices. * Partner with senior stakeholders across Data & Analytics, Business Operations, and Finance to translate ambiguous business problems into clear, measurable AI and ML data solutions. * Build innovative AI tooling that removes toil for the team, including reusable skills and agent patterns to enhance our workflow. * Mentor and educate Analytics Engineers, providing expert code reviews and sharing your expertise in AI and ML engineering practices. * Drive data governance within your domain, ensuring quality expectations are met and data incidents are managed from triage to resolution. About our team You will be a key member of our Strategic Analytics team, which is part of the broader Data Analytics organization. Our team is at the forefront of leveraging data to drive strategic decisions across Lighthouse. We partner closely with functional teams, especially the finance department and the CFO, to build and productionise AI/ML data products. We are a team of innovators who set the technical bar for how AI and ML are engineered, and we are passionate about building the foundations that will power the company's future AI systems. ## Related Videos - [Are Code Reviews Worth It? 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