United States onlyForward 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)
