Sr. AI Engineer (SaaS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Sr. AI Engineer (SaaS): Designing and shipping applied AI systems including RAG pipelines, agentic workflows, and LLM-powered features with an accent on production-grade reliability and MLOps. Focus on building AI-native experiences from prototype to production, optimizing model latency and cost, and integrating AI across the full stack.
Location: Hybrid (New York, NY) - In-office 3 days per week
Salary: $209,000 - $235,000
Company
A fast-growing product intelligence platform focused on improving society's experience with software through data-driven user insights.
What you will do
- Design and build applied AI systems, including RAG pipelines, agentic workflows, and LLM-powered features.
- Instrument and evaluate model outputs rigorously to define evaluation frameworks and mitigate hallucinations.
- Own the MLOps lifecycle, including model deployment, monitoring, latency optimization, and cost management.
- Contribute across the backend and frontend to ship complete, user-facing AI products.
- Partner with product and design to frame problems and determine technical tradeoffs between prompting and fine-tuning.
- Stay current on research regarding transformers, diffusion architectures, and emerging agent patterns.
Requirements
- Deep hands-on experience shipping LLM-powered systems and agent orchestration frameworks.
- Strong technical depth in system design, architecture, and identifying failure modes.
- Expertise in model evaluation, including reasoning about overfitting and bias-variance tradeoffs.
- Production MLOps experience with monitoring pipelines in live environments.
- Solid full-stack fundamentals to build end-to-end AI products.
- Must be based in New York, NY for a hybrid work arrangement (3 days per week in-office).
Nice to have
- Experience fine-tuning foundation models.
- Familiarity with AI safety considerations and guardrail frameworks.
- Experience with LangChain, LlamaIndex, or custom orchestration frameworks.
- Background in SaaS or product analytics environments.
Culture & Benefits
- Hybrid work environment with designated office days.
- Highly competitive employer-heavy health coverage with $0 premium options.
- Strong 401(k) match and equity grants.
- Flexible time off policy.
- Culture based on core values: Bias to Act, Hone Your Craft, The Team is , and Maniacal Focus.
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