[Remote] Forward Deployed AI Engineer
Note: The job is a remote job and is open to candidates in USA. 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. They are seeking a highly skilled and motivated Forward Deployed Engineer to work at the cutting edge of Generative AI deployments, partnering directly with customers to design, build, and deploy intelligent applications.
Responsibilities
- 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
Skills
- 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
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field
- 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
Benefits
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Company Overview
Company H1B Sponsorship