Forward Deployed AI Engineer (Enterprise AI)

Location: Los Angeles, California, United States; in-office typically three to five days per week depending on client requirements, with a reasonable commuting distance from the Los Angeles area expected.

Salary: $200,000–$250,000 base salary per year plus equity.

Company

hirify.global builds datasets, reinforcement learning environments, research benchmarks, and end-to-end agentic AI systems for frontier AI labs and enterprise customers.

What you will do

• Work directly with customers to identify high-value problems, understand business workflows, and define measurable AI outcomes.
• Shape technical direction and architecture for enterprise AI solutions.
• Build production AI systems using multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation.
• Develop the APIs, data pipelines, integrations, and distributed systems required for reliable operation at scale.
• Lead solutions from discovery through deployment and measurable customer impact.
• Own evaluation, observability, security, reliability, guardrails, latency, scalability, and cost.

Requirements

• Typically 8+ years of production engineering experience building and operating sophisticated software systems.
• Expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
• Hands-on experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
• Experience taking complex systems from architecture through deployment and scale.
• Practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
• Ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate with senior engineers and business executives.
• Ability to explain technical concepts clearly, work with stakeholders, and remain calm under pressure.
• Ability to work in person three to five days per week and be based in the Los Angeles area or within a reasonable commuting distance.

Culture & Benefits

• Client-first environment with high ownership, accountability, and demanding quality expectations.
• Enterprise AI unit operates at startup speed, with employees expected to create processes and playbooks where needed.
• Opportunity to work at the frontier of AI and contribute to datasets, reinforcement learning environments, benchmarks, and enterprise deployments.
• Opportunities to contribute to AI research and showcase work at conferences including ICLR, ICML, and NeurIPS.
• Collaboration with experienced AI professionals from companies including Google, Meta, and Amazon.