Forward Deployment Engineer (Embedded AI / Systems Engineer)

Forward Deployment Engineer (Embedded AI / Systems Engineer) R&D Why Join Us? Join the founding U.S. deployment team and embed directly with strategic enterprise clients. Bridge technology and business by architecting, coding, and operationalizing AI solutions in real-world production settings while shaping product direction from the field.

Key Responsibilities 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 Requirements 3–8+ years of professional software engineering experience (full stack, data, infrastructure, or ML systems) 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 Preferred Qualifications Experience in AI/ML, knowledge graphs, embeddings, LLMs, vector databases Background in regulated industries (finance, healthcare, government) #J-18808-Ljbffr