AI Engineer

Permanent US Resident Only

Candidates must be currently authorized to work in the United States on a full-time, permanent resident basis. Staff Right Associates and our clients do not provide visa sponsorship for this position.

Staff Right Associates has partnered with an elite, highly capitalized, late-stage AI infrastructure innovator to expand their premier enterprise engineering team. This high-impact role sits at the intersection of sophisticated generative AI development and complex enterprise strategy. As an AI Field Engineer, you will translate ambitious GenAI concepts into highly scalable, production‑ready systems for some of the world’s most sophisticated organizations.

• Drive comprehensive technical discovery and architecture scoping sessions with premier enterprise clients to architect robust proofs‑of‑concept (POCs).
• Deploy full‑scale, end‑to‑end machine learning integrations directly within client environments, expertly navigating architecture, compliance, and infrastructure bottlenecks.
• Champion advanced model selection, optimization, and fine‑tuning strategies (including SFT, DPO, and RFT) to seamlessly guide customers from initial experimentation to enterprise‑grade production.
• Cultivate enduring technical relationships across highly complex corporate accounts, managing diverse stakeholder interests and mitigating friction to accelerate project momentum.
• Synthesize recurring enterprise deployment patterns and field challenges into actionable feedback for internal product and core engineering teams.

• Command 3 years of technical experience in customer‑facing AI/ML engineering, systems architecture, or machine learning infrastructure environments.
• Demonstrate a proven history of shipping production‑grade AI/ML code to live user environments rather than delivering high‑level advisory presentations or slide decks.
• Utilize expert‑level Python capabilities along with hands‑on proficiency with GPU utilization, major cloud ecosystems (AWS, Google Cloud Platform, or Azure), and container orchestration technologies like Kubernetes.
• Architect open‑model deployment mechanisms and training workflows, leveraging deep familiarity with modern serving frameworks and advanced fine‑tuning methodologies.
• Communicate complex engineering trade‑offs with executive‑level presence, easily pivoting between deep technical debugging with developers and strategic presentations for C‑suite leadership.
• Thrive in high‑velocity startup or field‑oriented environments, focusing heavily on open‑model infrastructure over basic closed‑model API integrations.

• Core Compensation: Highly competitive base salary ranging from $175,000 to $225,000 annually, commensurate with technical expertise.
• Performance & Equity
  
  Incentives:
  
  Performance‑based bonus structures paired with high‑impact equity stakes in a ~200‑person venture, yielding an On‑Target Earnings (OTE) potential of $220,000 to $280,000.
• Health & Wellness Perks: Comprehensive premium medical, dental, and vision insurance options, alongside proactive mental health and wellness support programs.
• Future Planning: Robust 401(k) retirement savings matching plans, comprehensive life insurance coverage, and professional tuition reimbursement programs.
• Work‑Life Balance: Generous paid time off (PTO) allocations, structured parental leave, and a flexible, partially remote operational model utilizing coastal corporate hubs.