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Forward Deployment Engineer; Embedded AI​/Systems Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Jeen.ai
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployment Engineer (Embedded AI/Systems Engineer)
Location: New York

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 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)
  • Strong programming ability in Python, Java, Type Script/JavaScript, or equivalent
  • 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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