2 months ago
Paris, FranceSenior
Responsibilities
- Design, build, deploy, and operate production AI agents, assistants, and automations for internal functions.
- Build shared frameworks, knowledge-base pipelines, evaluation tooling, and reusable integrations with company systems.
- Partner with functional champions to understand workflows and deliver high-leverage AI solutions.
- Implement access control, data privacy, auditability, human-in-the-loop controls, and responsible-AI practices.
- Measure adoption, quality, cost, and time savings, and use data to improve systems.
- Maintain reliable, observable, and maintainable systems, including production incident response and root-cause analysis.
- Contribute to AI-assisted engineering standards, rules, skills, and agents across the company.
- Create documentation, proposals, and runbooks; share knowledge; mentor engineers; and support hiring and onboarding.
Requirements
- 5+ years of software engineering experience building and operating production systems end-to-end.
- Hands-on experience shipping production LLM-powered features, agents, or AI tooling.
- Strong experience integrating third-party SaaS APIs, internal services, and data pipelines.
- Solid grounding in system design, APIs, databases, and application architecture.
- Experience working directly with non-technical stakeholders to shape and deliver solutions.
- Practical understanding of security and data-privacy constraints for AI systems.
- Strong programming skills in Python and/or TypeScript.
- Experience with model APIs, agent frameworks, prompt and context engineering, RAG, and knowledge bases.
- Experience designing APIs and integrating multiple SaaS platforms and internal systems.
- Experience with cloud environments, preferably AWS, CI/CD, and containerisation.
- Experience with agent frameworks, MCP-style tool interfaces, or multi-agent systems is desirable.
- Experience with RAG and knowledge-base systems, LLM evaluation and observability tooling, internal or platform tooling, developer-experience products, LLM cost optimization, or full-stack development is desirable.
Tech Stack
Categories
About Kpler
Kpler builds a subscription SaaS platform that aggregates and analyzes global commodity flows, energy markets, and vessel movements for traders, analysts, and maritime operators. Founded in 2014 and headquartered in Brussels, the privately held company also operates the MarineTraffic brand, extending its ship-tracking and maritime intelligence coverage across 40+ markets.