AI Engineering Lead (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
AI Engineering Lead (AI): Leading AI-assisted software engineering transformation for a global consulting client with an accent on LLM applications, RAG pipelines, and developer productivity. Focus on advising engineering teams, designing AI agent systems, and optimizing software delivery workflows.
Location: Remote (Europe). Must be available for overlap with US working hours.
Company
is a talent-focused firm founded by former Apple, Nest, and Google executives, connecting top-tier professionals with high-growth companies.
What you will do
- Provide technical guidance on AI-assisted engineering, architecture, and CI/CD workflows.
- Advise and coach teams on adopting AI tools like Cursor, Claude Code, and GitHub Copilot.
- Design and develop LLM-powered applications, RAG pipelines, and AI agent systems.
- Define technical approaches for product architecture, data flows, and integrations.
- Translate business requirements into clear technical implementation plans.
- Collaborate with consulting stakeholders, product teams, and platform engineers.
Requirements
- Strong background in software engineering, full-stack development, or architecture.
- Hands-on experience with Python and microservice API development (REST, GraphQL, gRPC).
- Practical experience with LLM applications, prompt engineering, RAG, and AI agents.
- Deep understanding of transformer architectures, tokenization, and model performance.
- Ability to work with overlap with US working hours.
- Comfortable working in a client-facing consulting environment.
Nice to have
- Experience in hardware-adjacent, telecom, or embedded systems environments.
- Previous consulting or enterprise client-facing delivery experience.
- Experience with public cloud platforms (AWS, GCP, Azure).
- Knowledge of SQL or NoSQL databases (PostgreSQL, MongoDB).
- Experience in developer experience or platform engineering.
Culture & Benefits
- Short-term, high-impact 6–8 week consulting engagement.
- Opportunity to work on cutting-edge AI engineering transformation projects.
- Exposure to Fortune 500 and Global 1000 client environments.
- Collaborative, expert-led team environment.
Hiring process
- Initial interview with recruiter.
- Technical interview.
- Final client interview.
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