Base Salary
$180k - $230k/yr
Responsibilities
- Lead end-to-end deployment of GenAI applications for customers from discovery through delivery.
- Architect and implement scalable solutions using Python, LangChain, LangGraph, and LLM frameworks.
- Advise customers on technical needs and develop tailored AI solutions.
- Collaborate with product, ML, and engineering teams to influence roadmaps and platform capabilities.
- Write maintainable code and build reusable modules for future deployments.
- Operate across AWS, Azure, and GCP to deliver secure and performant infrastructure.
- Improve deployment tools and pipelines to reduce time-to-value.
Requirements
- 5–8+ years of software engineering or solutions engineering experience, ideally in a customer-facing capacity.
- Expertise in Python, LangChain, LangGraph, and SQL.
- Deep engineering architecture experience involving APIs, microservices, and event-driven systems.
- Demonstrated success designing and deploying GenAI applications in production.
- Strong proficiency with AWS, GCP, and/or Azure.
- Excellent communication skills for translating technical complexity into customer-facing narratives.
- Ability to work autonomously and manage multiple deployment tracks in parallel.
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.
- Preferred: familiarity with CI/CD, Terraform, Pulumi, Docker, Kubernetes, LLM fine-tuning, RAG, or AI/ML operations.
- Preferred: experience in a startup, consulting, or fast-paced customer-focused environment.
Benefits
- Work on frontier AI projects involving expert datasets, reinforcement learning environments, and research benchmarks.
- Opportunities to contribute to AI research and showcase work at conferences including ICLR, ICML, and NeurIPS.
- Apply frontier AI innovations to enterprise customer workflows.
- Collaborate with colleagues with experience at Google, Meta, Amazon, and other leading technology companies.
- Work in a startup-paced environment with significant ownership and impact.
- Equal opportunity employer committed to a diverse, inclusive, and authentic workplace.
Categories
About Turing
Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Turing’s talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Turing—based in San Francisco, California—was named #1 on The Information’s annual list of “Top 50 Most Promising B2B Companies,” and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.