Turing

Forward Delivery Engineer

United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates should possess 5-8+ years of experience in software engineering or solutions engineering, with proven expertise in Python, Langchain, LangGraph, and SQL. A deep understanding of engineering architecture, including APIs, microservices, and event-driven systems, is required, along with demonstrated success in designing and deploying GenAI applications into production. Strong proficiency with cloud services such as AWS, GCP, and/or Azure, and excellent communication skills are essential. A Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field is also required.

Responsibilities

The Forward Deployed Engineer will lead the end-to-end deployment of GenAI applications for customers, from discovery to delivery. They will architect and implement robust, scalable solutions using Python, Langchain/LangGraph, and LLM frameworks, and act as a trusted technical advisor to customers. Responsibilities include collaborating with product, ML, and engineering teams, writing clean, maintainable code, operating across cloud platforms (AWS, Azure, GCP), and continuously improving deployment tools, pipelines, and methodologies.

Skills

Generative AI
Python
Langchain
LangGraph
Large Language Models (LLMs)
GenAI application deployment
Architecting scalable solutions
Technical advisory

Turing

AI-driven matching of businesses with engineers

About Turing

Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.

Palo Alto, CaliforniaHeadquarters
2018Year Founded
$132.3MTotal Funding
SERIES_DCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Risks

Competition from platforms like DevZero offering cloud-based development environments.
Crowded market with new AI-driven talent platforms like Gaper and Aloa.
Potential brand confusion with South Korean company Turing Co.

Differentiation

Turing uses AI to match businesses with over 3 million vetted engineers.
Turing's Talent Cloud accelerates team building, similar to scaling servers on AWS.
Turing offers a 99% rematch rate for engineers, ensuring job stability.

Upsides

Remote work trend boosts demand for Turing's remote engineer connections.
Global tech talent shortage increases reliance on Turing's AI-powered talent matching.
Turing's AI-driven recruitment tools enhance hiring efficiency and accuracy.

Land your dream remote job 3x faster with AI