3 дня назад
Forward Deployed AI Engineer II
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed AI Engineer II (AI/LLM): Designing, building, and deploying secure AI-powered systems for internal workflows and customer-facing experiences with an accent on AI agents, RAG applications, production reliability, and responsible AI. Focus on rapidly turning ambiguous business needs into measurable products, building evaluation and monitoring systems, and maintaining privacy, security, governance, and human oversight.
Location: New York, NY, United States; onsite
Total compensation: $180,000–$220,000, including base salary, annual bonus incentive, and new-hire equity.
Company
builds secure identity solutions that enable safer and easier physical and digital experiences across airports, stadiums, travel, and everyday life.
What you will do
- Discover, prioritize, and build AI use cases for internal tools, employee workflows, and customer-facing product features.
- Partner with Product, Engineering, Data, Security, Legal, Compliance, Operations, and business teams to translate needs into AI-driven solutions.
- Prototype AI agents, LLM applications, RAG workflows, automation tools, and product experiences.
- Productionize validated AI systems with evaluation, monitoring, logging, fallback paths, and operational ownership.
- Build reusable patterns for prompt management, retrieval, tool use, guardrails, and human-in-the-loop workflows.
- Measure AI impact across adoption, quality, cost reduction, productivity, customer experience, and business outcomes.
Requirements
- 2+ years of experience in software engineering, AI engineering, machine learning engineering, data engineering, or a related technical role.
- Hands-on experience with LLMs, AI agents, RAG, model APIs, prompt engineering, or AI application frameworks.
- Strong programming skills in Python or another modern backend language.
- Experience building and deploying production systems with APIs, data platforms, cloud infrastructure, logging, monitoring, and testing.
- Understanding of responsible AI, including evaluation, guardrails, privacy, security, human oversight, and model governance.
- Ability to work with ambiguous business workflows, exercise product judgment, and communicate with technical, non-technical, and executive stakeholders.
Culture & Benefits
- Onsite work in an open, energetic office with conference rooms, coworking spaces, catered lunches, and stocked kitchens.
- Learning and development stipends and reimbursement programs.
- Comprehensive healthcare plans and family-building benefits, including fertility, adoption, and surrogacy support.
- Flexible time off, an annual wellness stipend, and OneMedical memberships for employees and dependents.
- Plus membership and a 401(k) retirement plan with employer match.
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