Engineering Lead – AI Prototyping (UltraLab)

Brazil

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Research & DevelopmentIndustries

Requirements

The Engineering Lead – AI Prototyping (UltraLab) requires 7+ years of software engineering experience, including 2+ years in a tech lead or engineering management capacity, and a solid grounding in software engineering fundamentals such as clean code, collaborative review, and lightweight CI/CD. Candidates should also possess a track record of leading fast-moving engineering teams.

Responsibilities

As Engineering Lead, responsibilities include leading technical design reviews, defining and upholding engineering standards for code quality and infrastructure, staying up-to-date with AI/GenAI tooling, translating product ideas into technical strategies, collaborating with product and design teams, supporting fast-turnaround builds while planning for long-term maintainability, mentoring and growing a team of engineers, contributing to the evolution of Ultralab’s internal engineering systems, and facilitating cross-functional alignment with other teams.

Skills

AI Prototyping

Technical Architecture

Engineering Best Practices

AI/GenAI

R&D Environment

Leadership

Prototype Development

Fast-paced Engineering

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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