GenAI Engineering Manager

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates must possess 12+ years of hands-on engineering experience, with at least 5-6 years focused on building AI/ML models and systems. A minimum of 1 year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents is required. Expertise in architecting GenAI applications/systems with various frameworks and cloud services, good proficiency in Azure, GCP, or AWS cloud services, and expert programming skills in Python, Langchain/Langgraph, and SQL are essential. Experience in driving engineering teams toward a technical roadmap and excellent communication skills for collaborating with business SMEs are also necessary.

Responsibilities

The GenAI Engineering Manager will build and own the technical roadmap based on business requirements, leading the engineering team to ensure timely execution and customer satisfaction. Responsibilities include developing and optimizing LLM-based solutions through design, training, fine-tuning, and deployment using prompt engineering, RAG, and agent-based architectures. The role involves codebase ownership with a focus on Python (LangChain/LangGraph) and SQL, ensuring quality, efficiency, scalability, and performance. Additionally, the manager will aid in deploying GenAI applications on cloud platforms (Azure, GCP, AWS), collaborating cross-functionally with product owners, data scientists, and business SMEs, providing technical leadership and mentoring to the team, and staying updated on the latest LLM research for continuous innovation.

Skills

Generative AI

LLM

Prompt Engineering

RAG

Agents

AI/ML Models

AI/ML Systems

GenAI Applications

GenAI Systems

Cloud Frameworks

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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