Forward Deployed AI Engineer

We’re seeking a highly skilled and motivated Forward Deployed Engineer (FDE) to work at the cutting edge of Generative AI deployments. In this role, you’ll partner directly with customers to design, build, and deploy intelligent applications using Python, Langchain/LangGraph, and large language models. You’ll bridge engineering excellence with customer empathy to solve high-impact real-world problems.

This is a hands-on engineering role embedded within customer projects-ideal for engineers who enjoy ownership, love solving hard problems, and thrive in dynamic, technical environments., * Lead the end-to-end deployment of GenAI applications for customers-from discovery to delivery.

• Architect and implement robust, scalable solutions using Python, Langchain/LangGraph, and LLM frameworks.
• Act as a trusted technical advisor to customers, understanding their needs and crafting tailored AI solutions.
• Collaborate closely with product, ML, and engineering teams to influence roadmap and core platform capabilities.
• Write clean, maintainable code and build reusable modules to streamline future deployments.
• Operate across cloud platforms (AWS, Azure, GCP) to ensure secure, performant infrastructure.
• Continuously improve deployment tools, pipelines, and methodologies to reduce time-to-value.

• 5-8+ years of experience in software engineering or solutions engineering, ideally in a customer-facing capacity.
• Proven expertise in Python, Langchain, LangGraph, and SQL.
• Deep experience with engineering architecture, including APIs, microservices, and event-driven systems.
• Demonstrated success in designing and deploying GenAI applications into production environments.
• Strong proficiency with cloud services such as AWS, GCP, and/or Azure.
• Excellent communication skills, with the ability to translate technical complexity to customer-facing narratives.
• Comfortable working autonomously and managing multiple deployment tracks in parallel., * Familiarity with CI/CD, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Docker, Kubernetes).
• Background in LLM fine-tuning, retrieval-augmented generation (RAG), or AI/ML operations.
• Previous experience in a startup, consulting, or fast-paced customer-obsessed environment.

Education

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related technical field.

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com., * We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.

• We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
• We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

• Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
• Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
• Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
• Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.