GT

Confidential

AIEngineeringLead/Manager

$140–200k ~AI est. United States; United Kingdom; Canada; Germany; Netherlands CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“AI Engineering Lead / Manager at GT. Skills: AI Engineering, LLM applications, Developer productivity, Software architecture. Provide technical guidance. Advise engineering teams”

What You'll Achieve.

Improve engineering productivity; Improve software delivery quality; Align AI applications to business outcomes

Industry & Context.

Confidential
Problems you'll solve

Troubleshooting

Eligibility Requirements

US-hours overlap required

What They're Looking For.

Must Have

background in software engineering, full-stack development background, backend engineering background, software architecture background, hands-on Python experience, microservice API development experience, API frameworks and tooling experience, AI-assisted software development tools experience, LLM applications experience, prompt engineering experience, structured prompting experience, RAG experience, AI agents experience, model routing experience, Deep understanding of LLMs, Deep understanding of transformer architectures, Ability to design RAG pipelines, Ability to build RAG pipelines, Ability to optimise RAG pipelines, knowledge of software engineering best practices, computer science fundamentals knowledge, Ability to translate business requirements, communication skills, Ability to work with US hours

Nice to Have

Deep embedded development experience, Telco hardware experience, Hardware-adjacent experience, Telecom experience, Network equipment experience, Embedded systems experience, Firmware environments experience, Previous consulting experience, Advisory experience, Enterprise client-facing delivery experience, Experience with Fortune 500 clients, Experience with Global 1000 clients, Master’s degree in Computer Science

What You'll Do.

Provide technical guidance

Advise engineering teams

Coach engineering teams

Define technical approaches

Design AI applications

Develop AI applications

Document AI applications

Build LLM-powered applications

Support LLM-powered applications

Support RAG pipelines

Build AI agent systems

Support AI agent systems

Translate business requirements

Contribute to implementation

Contribute to testing

Contribute to code reviews

How You'll Work.

Team & Collaboration

Client teams; Consulting teams; Engineering teams; Product teams; Design teams; Architecture teams; Platform teams

Communication Scope

Explain technical concepts

Full Job Description

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands. On behalf of our client, GT is looking for an AI Engineering Lead / Manager interested in a short-term consulting engagement focused on AI-assisted software engineering, developer productivity, LLM applications, and modern engineering transformation for a US-based end client. ABOUT THE CLIENT & THE PROJECT Our client is a leading global consulting firm delivering an AI Engineering Excellence engagement for a US-based end client. The project focuses on improving engineering productivity and software delivery quality through AI-assisted development practices, LLM applications, RAG pipelines, AI agents, and modern software engineering best practices. The role is client-facing and hands-on, working with consulting stakeholders, engineering teams, product/design, and architecture/platform teams. - Setup: initial 6–8 week engagement, some US-hours overlap required ABOUT THE ROLE The role is focused on helping client engineering teams improve their AI-assisted engineering maturity across people, process, and technology. The consultant will advise engineering teams, assess current software development practices, recommend improvements, and contribute to hands-on AI engineering work, including LLM applications, RAG pipelines, AI agents, and developer productivity tooling. RESPONSIBILITIES: - Spend around 80% of the role providing technical guidance to client and consulting teams on AI-assisted software engineering, developer productivity, architecture, microservices, build processes, CI/CD, testing, security, and engineering workflows. - Advise and coach engineering teams on modern software engineering practices and adoption of AI tools such as Claude Code, Cursor, Codex, or GitHub Copilot. - Define technical approaches for product architecture, data

Free ATS check

Applying for this AI Engineering Lead / Manager role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Ashby

  • Ashby is a fast modern ATS — most applications take under 3 minutes.
  • The resume parser is strong; verify parsed experience dates and job titles.
  • Custom screening questions are often scored algorithmically — answer completely.
  • Location field affects geo-based screening; use your actual metro area.

ANONYMOUS · UNFILTERED

What do employees actually say about GT?

Real rants from real employees. Read before you apply.

Read Company Rants →