Turing
Forward Deployed AI Engineer
New York, New York, United States
Sponsorship not specified$180k-$230kDetected 1 day ago
PythonAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDMachine LearningLLMsRAGLangGraphComplianceResearchLeadershipCommunication
About the role
- Act as a trusted technical advisor to customers, understanding their needs and crafting tailored AI solutions.
Responsibilities
- Architect and implement robust, scalable solutions using Python, Langchain/LangGraph, and LLM frameworks.
- 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.
- Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems.
- For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
- 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.
- At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways.
Requirements
- 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.
- 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.
Nice to have
- 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.
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.
- Compensation Details
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment
Skills
- Operate across cloud platforms (AWS, Azure, GCP) to ensure secure, performant infrastructure.
- Continuously improve deployment tools, pipelines, and methodologies to reduce time-to-value.
Compensation
- Competitive compensation
- Salary Range: 180-230k+
Benefits
- Flexible working hours
Company info
- We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- Lead the end-to-end deployment of GenAI applications for customers-from discovery to delivery.
- In this role, you'll partner directly with customers to design, build, and deploy intelligent applications using Python, Langchain/LangGraph, and large language models.
Equal opportunity
- Turing is proud to be an equal opportunity employer.
This listing is sourced directly from Turing's careers page and normalized into a canonical job model.