> Markdown version of [/jobs/ext/3615641-forward-deployed-engineer-mid-level](https://www.wearedevelopers.com/jobs/ext/3615641-forward-deployed-engineer-mid-level). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer, Mid-Level - **Company:** Clera - **Location:** Berlin, Germany - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Relational Databases, Python (Programming Language), Procurement Software, Next.js, SQL Databases, Systems Integration, TypeScript, ReactJS, Large Language Models, Backend, Agentic-AI, Front End Software Development, Virtual Agents - **Published:** October 8, 2026 - **Apply:** https://startup.jobs/forward-deployed-engineer-mid-level-clera-10290741 ## About the Role * Experience shipping software for real users, with production experience in TypeScript or Python; around 2 or more years of relevant experience is suitable. * Strong full-stack or backend foundations, including APIs, SQL, and relational databases. * Experience building and shipping production APIs and investigating system behavior through logs, traces, or conversation histories. * Experience iterating on software based on direct observation of real user behavior. * Background in enterprise integrations, LLM applications, AI-powered features, or technical customer work. * Familiarity with React, Next.js, or other frontend frameworks is useful. * Strong communication skills and interest in learning about procurement workflows and supplier relationships. ## Description Join a product engineering team building AI-powered procurement software for enterprise customers. You will work closely with procurement teams to understand their workflows, improve AI agent performance, and deliver solutions that create practical value., * Work with procurement teams to understand their workflows, decisions, and challenges, then turn broad requests into clear problems to solve. * Review customer conversations and system traces to identify where AI agents succeed, fail, or stall. * Improve agent behavior by refining prompts, context, and tool use, and help turn recurring failures into evaluation cases. * Build product features, customer-specific adapters, and integrations that connect enterprise systems and data. * Work across APIs and frontend applications to take solutions from initial idea through production. * Support rollouts, observe real user behavior, and iterate on shipped software based on what you learn. * Bring recurring customer needs into shared product and platform improvements.