Forward Deployment Engineer; Embedded AI​/Systems Engineer

An empty job that is used for creating requisitions 'from scratch'

• Embed with customer teams (on-site or virtually), rapidly understand domain challenges, and design tailored AI/ML-driven solutions
• Lead end-to-end implementation: data ingestion, model integration, application logic, UI/UX, APIs, monitoring, and scaling
• Collaborate with customer stakeholders (technical and executive) to define roadmap, success metrics, and delivery plans
• Iterate rapidly: prototype, test, learn, and refine in production settings
• Surface lessons from client deployments back into our core platform—help shape product direction, SDKs, abstractions, and APIs
• Assist the sales/pre‑sales process: technical discovery, architecture reviews, proof‑of‑concept scoping, and proposals
• Ensure reliability, observability, performance, security, and compliance in deployed systems

• 3–8+ years of professional software engineering experience (full stack, data, infrastructure, or ML systems)
• Strong programming ability in Python, Java, Type Script/JavaScript, or equivalent
• Experience building production systems: APIs, data pipelines, scalable services, frontend/backends
• Demonstrated ability to work in ambiguous environments, integrating multiple systems and APIs
• Excellent communication skills: able to engage both engineers and non-technical stakeholders
• Highly autonomous, creative problem solver, comfortable working across layers (data, app, infra)
• Willingness to travel (20%–40%) to customer sites

• Experience in AI/ML, knowledge graphs, embeddings, LLMs, vector databases
• Background in regulated industries (finance, healthcare, government)