Role OverviewWe are seeking experienced Forward Deployed Engineers to work at the intersection of applied AI, machine-learning infrastructure, data intelligence, and partner-facing technical implementation. The role combines research collaboration, ML and evaluation infrastructure, large-scale data systems, LLM applications, and hands-on engineering across the full lifecycle.
What You Will Do
Key responsibilities include working directly with AI research teams and enterprise partners, translating ambiguous AI and machine-learning problems into clearly scoped technical projects, and owning technical systems from initial discovery through implementation, deployment, iteration, and ongoing reliability.
Why It Might Be a Fit
Ideal candidates will have strong professional experience as a software, machine-learning, applied AI, or infrastructure engineer, with advanced Python engineering skills and experience building and shipping production systems end to end.
Requirements
- Strong professional experience as a software, machine-learning, applied AI, or infrastructure engineer
- Advanced Python engineering skills with experience building and shipping production systems end to end
- Practical experience with LLMs, agentic systems, multi-turn workflows, tool use, RAG, or AI automation
- Experience building or maintaining data pipelines, ML infrastructure, model-evaluation systems, or research workflows
- Strong understanding of data quality, taxonomy design, labelling workflows, and dataset curation for AI systems
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