[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

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