Turing

Senior GenAI Engineer

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates must have 8+ years of professional experience in building Machine Learning models and systems, with at least 1 year of hands-on experience with LLMs and Generative AI techniques, including prompt engineering, RAG, and agents. Expertise in Python, Langchain/Langgraph, and SQL is essential, along with a solid understanding of cloud services such as Azure, GCP, or AWS. The role also requires experience in guiding engineering teams towards a technical roadmap and excellent communication skills for collaborating with business SMEs.

Responsibilities

The Senior GenAI Engineer will develop and optimize LLM-based solutions by leading the design, training, fine-tuning, and deployment of large language models using techniques like prompt engineering, RAG, and agent-based architectures. Responsibilities include owning and maintaining high-quality, efficient code in Python and SQL, aiding in the deployment of GenAI applications on cloud platforms, and collaborating closely with product owners, data scientists, and business SMEs. Additionally, the role involves providing technical leadership and knowledge-sharing to the engineering team, mentoring junior engineers, and staying current with the latest advancements in LLM research and generative AI to drive continuous innovation.

Skills

Generative AI
LLM
Multi-agent systems
RAG
Open Source LLM
AI
Machine Learning
Frontier Models
Teamwork

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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