Senior AI Software Engineer

5+ years of experience in software engineering. 2+ years of experience shipping production-grade AI systems such as LLMs, agentic workflows, RAG, or evals. Hands-on experience building MCPs. Basic of finance and accounting is a real added value Strong knowledge of Python; SQL and TypeScript are a plus. Solid understanding of databases such as PostgreSQL or MySQL, and familiarity with technologies such as Docker. Strong analytical mindset, curiosity, and the ability to understand business logic before coding. Join Chift as a Senior AI Software Engineer and help shape the next generation of financial software integrations in Europe. You will work at the intersection of product, integrations, and AI engineering, turning real operational needs into production-ready features. From LLM-powered product capabilities to agentic workflows and scalable APIs/MCPs, your work will have a direct impact on how our clients connect their tools and how Chift builds faster. This role is a strong fit for someone who enjoys ownership, technical depth, and the pace of a fast-growing startup. You will collaborate closely with the CTO and the engineering team, contribute to key architecture decisions, and help set the technical standard for AI at Chift. With offices in Brussels and Paris and a flexible work organization, you will join a team that values initiative, teamwork, and continuous learning while building a product used by leading B2B software companies across Europe. Design and ship LLM-powered product features such as mapping suggestions, anomaly detection, intelligent monitoring, and error recovery. Lead AI-focused engineering projects end-to-end, from ideation and architecture to production and iteration. Build and improve highly available and scalable APIs and MCPs that support Chift’s integration platform. Help make integrations more agentic by designing workflows that can reason, recover from errors, and reduce manual effort for customers. Automate how connectors are built, tested, documented, and maintained at scale. Develop AI-powered tooling to accelerate connector generation and keep documentation aligned with the codebase. Define and promote best practices for LLMs in production, including evals, prompt versioning, telemetry, safety, and cost guardrails. Work closely with product and engineering stakeholders to turn technical challenges into reliable client value. Full support and coaching from the CTO. Steep learning curve with varied work across different technologies. Experience in a young, fast-growing tech startup with a strong team atmosphere. Flexible work schedule with a mix of office and remote work. Attractive package including salary, meal vouchers, eco-vouchers, mobility budget, and flexible vacation days. Potential access to equity in the next funding round. Regular team moments such as aperitifs, lunches, and celebrations of key milestones.