Forward Deployed AI Engineer
$110,000–$160,000 year
On-site · New York City, New York, United States
Job Summary
Design, build, and deploy AI-powered systems across internal workflows and customer-facing product experiences. Partner with Product, Engineering, Data, Security, Legal, Compliance, and Operations to translate business needs into AI-driven solutions. Rapidly prototype AI agents, LLM applications, RAG workflows, automation tools, and product experiences. Productionize validated AI use cases with strong evaluation, monitoring, logging, fallback paths, and operational ownership. Build reusable patterns for prompt management, retrieval, tool use, evals, guardrails, and human-in-the-loop workflows. Implement responsible AI best practices, including privacy, security, model governance, risk review, and customer impact assessment. Measure and communicate AI impact across adoption, quality, cost reduction, productivity, customer experience, and business outcomes.
Required Qualifications
- 1+ years of experience in software engineering, AI engineering, machine learning engineering, data engineering, or related technical roles
- Hands-on experience building with LLMs, AI agents, RAG, model APIs, prompt engineering, or AI application frameworks
- Strong programming skills in Python and/or another modern backend language
- Experience building and deploying production systems with APIs, data platforms, cloud infrastructure, logging, monitoring, and testing
- Ability to work directly with business teams to understand ambiguous workflows and turn them into usable AI products
- Strong product judgment and ability to identify practical, high-ROI AI use cases
- Understanding of responsible AI concepts, including evals, guardrails, data privacy, security, human oversight, and model governance
- Ability to communicate complex technical concepts to technical, non-technical, and executive stakeholders
- Comfort operating in fast-paced, ambiguous environments with strong ownership from idea to impact
- Passion for building AI systems that are practical, secure, measurable, and user-centric
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