Forward Deployed AI Engineer

Turing; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

Turing is looking for a highly skilled Forward Deployed Engineer (FDE) to work at the forefront of Generative AI deployments in New York, NY. The ideal candidate will partner with customers to design and deploy intelligent applications using Python and related technologies.

The FDE role offers hands-on engineering experience, leading GenAI application deployments, and collaborating with multiple teams to deliver high-impact solutions. Candidates should have extensive experience in software engineering with a strong cloud services background.

Qualifications

• 5–8+ years of experience in software engineering or solutions engineering 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 deploying GenAI applications into production environments.
• Strong proficiency with cloud services such as AWS, GCP, and/or Azure.
• Excellent communication skills and ability to convey technical complexity to customers.
• Comfortable working autonomously on multiple deployment tracks.

Responsibilities

• Lead the end-to-end deployment of GenAI applications for customers.
• Architect and implement robust, scalable solutions using relevant technologies.
• Act as a trusted technical advisor to understand customer needs.
• Collaborate closely with various teams to influence product capabilities.
• Write clean, maintainable code and build reusable modules.
• Operate across cloud platforms to ensure secure infrastructure.
• Improve deployment tools and methodologies to enhance efficiency.

Skills

Python

Langchain

LangGraph

SQL

Cloud services (AWS, GCP, Azure)

Engineering architecture

CI/CD

Infrastructure as Code (Terraform, Pulumi)

Container orchestration (Docker, Kubernetes)

Education

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or related field

Job description

About the Role

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.

Key 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.