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# Senior Software Engineer - AI

- **Company:** saas
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Continuous Integration, Software Engineering, SQL Databases, Management of Software Versions, Data Logging, Large Language Models, Prompt Engineering, Model Validation, Backend, Front End Software Development, Docker
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dd3436255f075ded

## About the Role

* 7+ years of software engineering experience, you've shipped AI features to production and owned the lifecycle from problem framing to post-launch iteration, not just prototypes or AI-assisted coding
 * Strong fullstack fundamentals; comfortable across frontend, backend, and infrastructure as needed
 * Practical experience with LLM APIs, prompt engineering, RAG, or similar techniques in live systems, with good judgment about when AI is the right tool and when it isn't
 * Evaluation mindset, you define success metrics, design experiments, run offline and online evaluations, and make decisions from the results
 * Data competence, solid SQL, basic schema design, the ability to build simple pipelines, and a willingness to get your hands dirty with data through analysis and exploration
 * Production readiness, Docker fluency, CI/CD awareness, logging and monitoring basics, and good habits for versioning prompts, models, and datasets
 * LLM platform breadth, experience integrating multiple LLM providers, working with vector databases, and using LangChain (or similar); comfortable fine-tuning when it truly makes sense
 * A track record of proactive problem framing, identifying problems and proposing solutions on your own, rather than waiting to be told exactly what to build
 * Compliance or security experience, or a strong interest in it, is a genuine plus as we move upmarket
 * Comfortable in a lean team where you own outcomes, not just tickets

## Description

* Design, build, and ship AI-powered features across the product, from prototyping through production quality
 * Work hands-on with LLMs, embeddings, and related AI tooling to solve real product problems, not just experiment with them
 * Own technical decisions for your features: architecture, model selection and integration approach, and the tradeoffs between quality, cost, and latency
 * Build across the stack as needed. This is a fullstack AI dev role, not siloed to backend or frontend, and every feature you ship should be tested, monitored, and maintainable
 * Help establish good practices for AI feature development as our AI surface area grows, and flag technical risks early, especially around AI reliability, cost, and edge-case behavior
 * Partner closely with the Senior Engineering Manager on technical planning and sequencing, with Product on requirements (pushing back with technical reality when needed), and with the rest of the engineering team on shared architecture and standards


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