Forward Deployment Engineer (Embedded AI / Systems Engineer)
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 solutionsLead end-to-end implementation : data ingestion, model integration, application logic, UI / UX, APIs, monitoring, and scalingCollaborate with customer stakeholders (technical and executive) to define roadmap, success metrics, and delivery plansIterate rapidly : prototype, test, learn, and refine in production settingsSurface lessons from client deployments back into our core platform—help shape product direction, SDKs, abstractions, and APIsAssist the sales / pre‑sales process : technical discovery, architecture reviews, proof‑of‑concept scoping, and proposalsEnsure reliability, observability, performance, security, and compliance in deployed systemsRequirements
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 / backendsDemonstrated ability to work in ambiguous environments, integrating multiple systems and APIsExcellent communication skills : able to engage both engineers and non‑technical stakeholdersHighly autonomous, creative problem solver, comfortable working across layers (data ↔ app ↔ infra)Willingness to travel (20%–40%) to customer sitesPreferred Qualifications
Experience in AI / ML, knowledge graphs, embeddings, LLMs, vector databasesBackground in regulated industries (finance, healthcare, government)#J-18808-Ljbffr