Forward Deployment Engineer (Embedded AI/Systems Engineer)

An empty job that is used for creating requisitions 'from scratch'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)Strong programming ability in Python, Java, TypeScript/JavaScript, or equivalentExperience 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 QualificationsExperience in AI/ML, knowledge graphs, embeddings, LLMs, vector databasesBackground in regulated industries (finance, healthcare, government)