23 hours ago
Base Salary
$200k - $250k/yr
Responsibilities
- Work with enterprise customers to identify high-value problems, understand business workflows, and define AI-driven outcomes.
- Shape technical direction and architecture for production enterprise AI solutions.
- Build 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, guardrails, and cost.
- Communicate technical concepts and navigate ambiguity with senior engineers, business executives, and client stakeholders.
Requirements
- Typically 8+ years of experience building and operating sophisticated software systems.
- Deep 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.
- Ability to work with customers, earn trust quickly, challenge assumptions constructively, and communicate effectively with senior technical and business stakeholders.
- Strong client-ready communication skills and ability to remain calm under pressure.
Benefits
- $200,000–$250,000 base salary plus equity.
- 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 including ICLR, ICML, and NeurIPS.
- Collaboration with experienced colleagues from companies including Google, Meta, and Amazon.
- In-office work typically three to five days per week, depending on client requirements, with a base in the Los Angeles area or reasonable commuting distance.
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.