Full Stack Software Engineer at Turing

Palo Alto, California, United States

Turing Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries

Requirements

  • 2+ years as an early engineer at a prominent AI product startup
  • Proficiency in both front-end and back-end development (Full-Stack Engineering)
  • Demonstrated ability to build and ship real web applications, with a portfolio to showcase (e.g., personal site, GitHub, or screenshare)

Responsibilities

  • Design and build end-to-end systems spanning both front-end and back-end components
  • Develop scalable infrastructure to support agentic workflows, data pipelines, and evaluation
  • Rapidly prototype, test, and ship features in collaboration with cross-functional teams
  • Own projects from design through deployment with a strong focus on reliability and usability

Skills

Key technologies and capabilities for this role

Full-Stack DevelopmentAI AgentsReinforcement LearningSynthetic Data GenerationModel TrainingModel EvaluationAgentic SystemsInternal Tooling

Questions & Answers

Common questions about this position

What experience level is required for this Full Stack Software Engineer role?

The role requires 2+ years as an early engineer at a prominent AI product startup, along with proficiency in full-stack engineering and a portfolio showcasing real web applications.

Where is this position located?

The position is located in SF or Palo Alto.

What does the team structure look like for this role?

This role is part of the R&D – Agentic Systems & Tooling team.

What kind of portfolio or projects should I showcase to apply?

You must demonstrate the ability to build and ship real web applications and be able to showcase projects such as a personal site, GitHub, or through screenshare.

What bonus qualifications would make my application stand out?

Bonus points are given for experience with agentic systems, RL environments, or AI/ML infrastructure; contributions to open-source projects or personal AI/ML tooling; and strong product sense.

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.

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