[Remote] GenAI Engineering Manager at Turing

United States

Turing Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

Generative AILLMPrompt EngineeringRAGAgentsAI/ML ModelsAI/ML SystemsGenAI ApplicationsGenAI SystemsCloud Frameworks

Questions & Answers

Common questions about this position

What are the key required skills for this GenAI Engineering Manager role?

Candidates need 12+ years of professional engineering experience with 5-6+ years in AI/ML models, 1+ year in Generative AI applications using prompt engineering, RAG, or agents, expertise in architecting GenAI systems, proficiency in Azure, GCP, or AWS, and expert skills in Python, Langchain/Langgraph, and SQL.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this GenAI Engineering Manager role remote or office-based?

This information is not specified in the job description.

What does the team structure look like for this role at Turing?

You will collaborate with a diverse team of Turing engineers as a key member of the GenAI delivery organization, leading the engineering team toward the technical roadmap.

What makes a strong candidate for this GenAI Engineering Manager position?

Strong candidates have extensive AI/ML experience, proven leadership in guiding teams on technical roadmaps, LLM expertise with techniques like RAG and agents, and excellent communication skills for collaborating with business SMEs.

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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