6 hours ago
Base Salary
$200k - $250k/yr
Responsibilities
- Work directly with customers to uncover high-value opportunities, clarify business workflows, challenge assumptions, and define desired outcomes.
- Architect and build production AI systems involving multi-agent workflows, orchestration, tool use, context engineering, memory and state, retrieval-augmented generation, APIs, data pipelines, integrations, and distributed systems.
- Lead solutions from discovery through deployment, scale, and measurable client impact.
- Own evaluation, observability, security, reliability, latency, scalability, cost, and guardrails for delivered systems.
- Communicate technical concepts clearly and collaborate with senior engineers, business executives, and other stakeholders.
- Help establish the operating playbook and processes for the initial Forward-Deployed Engineering team.
Requirements
- Typically 8+ years of experience building and operating sophisticated production 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.
- Track record of owning complex systems from architecture through deployment and scale.
- Practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
- Strong customer and technical leadership, business acumen, communication, judgment, and ability to navigate ambiguity.
- Ability to earn trust quickly, challenge assumptions constructively, work with stakeholders, and remain calm under pressure.
Benefits
- Opportunity to work at the frontier of AI and contribute to datasets, reinforcement learning environments, benchmarks, and enterprise AI deployments.
- Opportunities to contribute to AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS.
- Collaboration with experienced AI professionals from leading technology companies.
- In-office work typically three to five days per week, at a client site or planned Manhattan office, with the role based in the Los Angeles Metro area or within reasonable commuting distance.
- Equal opportunity workplace committed to diversity, inclusion, and authenticity.
Tech Stack
Categories
Forward Deployed
About Turing
Turing builds AI data pipelines and systems for enterprises and AI labs. It creates large-scale datasets and reinforcement-learning environments to train and evaluate models, and deploys agentic AI applications in domains like software engineering and enterprise workflows. The company also operates an AI-powered talent cloud to match and manage developers and AI trainers. Founded in 2018 and headquartered in San Francisco, it is privately held and serves Fortune 500 customers.