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As a Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products — all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.
Job Responsibility:
Collaborate with delivery leaders to scope technical solutions to operational problems
Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution
Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
Iterate quickly based on real-time feedback from operators and clients
Build reusable tooling and infrastructure that accelerates future deployments
Requirements:
3+ years of professional experience in software engineering or ML engineering
Strong Python skills and familiarity with libraries like PyTorch, Hugging Face, LangChain, or OpenAI APIs
Solid understanding of data pipelines, APIs, and production deployment (e.g., Docker, FastAPI, GCP/AWS)
Experience building usable systems from messy data and ambiguous requirements
Strong communication skills — you can explain technical decisions to delivery teams and client stakeholders
Entrepreneurial mindset and comfort working in fast-moving, unstructured environments
Be willing to be on-call for our customers when situations arise
Ability to travel roughly 10–30% of the time, sometimes short-notice trips—primarily across Europe with occasional roll-outs outside of Europe —to work directly on-site with clients
What we offer:
Bonuses and equity are included in offers above entry level
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