Forward Deployed AI Engineer

Turing • Los Angeles, CA

4h • $200,000 - $250,000 • Onsite

About The Position

Turing is hiring a Forward-Deployed AI Engineer for its Enterprise AI business unit. The role is based in the Los Angeles Metro area and involves working directly with enterprise customers to identify valuable business problems, shape technical direction, and build and deploy production AI systems. Engineers own solutions end to end, from discovery and architecture through deployment and measurable business impact, while remaining hands-on with system quality and operation.

The work includes building agentic AI systems and the surrounding software infrastructure, including orchestration, tool use, context engineering, memory and state, retrieval-augmented generation, APIs, data pipelines, integrations, and distributed systems. The engineer is expected to take ownership of evaluation, observability, security, reliability, latency, scalability, and cost. This is a demanding, high-ownership role in a rapidly scaling, startup-like business unit, with close client collaboration and an expectation to help create processes and playbooks.

The position is typically in-office three to five days per week, depending on assignment and client requirements. In-person work may take place at client sites or at Turing’s planned Manhattan office; the job posting also specifies that candidates should be based in the Los Angeles Metro area or within reasonable commuting distance. The stated base salary range is $200,000–$250,000, plus equity.

Requirements

• Typically 8 or more years of experience building and operating sophisticated production software systems.
• Expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
• Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
• A track record of 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, and constructively challenge assumptions.
• Ability to communicate effectively with senior engineers, business executives, and other stakeholders, and to explain technical concepts clearly.
• Ability to remain calm under pressure.
• Ability to work in person three to five days per week depending on client and assignment requirements, and to be based in the Los Angeles Metro area or within reasonable commuting distance.

Responsibilities

• Work directly with customers to navigate ambiguity, identify high-value opportunities, challenge assumptions, and translate business needs into technical direction.
• Discover customer workflows and jointly define the outcomes an AI solution should achieve.
• Architect and build production AI systems, including multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation.
• Build the APIs, data pipelines, integrations, and distributed systems needed to make AI solutions reliable at scale.
• Lead customer solutions from discovery through deployment and measurable impact.
• Own evaluation, observability, security, reliability, latency, scalability, and cost.
• Work directly with senior client leaders and take accountability for client outcomes.
• Apply technical judgment and expertise to create processes and playbooks where established ones do not exist.

Benefits

• Equity
• Opportunity to work on frontier AI and contribute to AI research and enterprise deployments.
• Opportunity to collaborate with colleagues with AI experience from leading technology companies.
• Opportunity to showcase work at conferences such as ICLR, ICML, and NeurIPS.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed