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Forward Deployment Engineer; Embedded AI​/Systems Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Jeen.ai
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: 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)
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