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AI Tech Lead

Exclusive opportunity

4 to 8 weeks

Hybrid

AI Tech Lead

LittleBig Connection

AI Tech Lead

Skills

LLMs / Large language modelsRAGGenerative AI and prompt engineeringBackend systems and API developmentAzure (Functions, App Services, Cosmos DB, Azure Key Vault, Azure OpenAI)

1 hour ago

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Important information


Contract type:

Freelance

Daily rate:

Salary according to profile

Location:

Barcelona, Spain

Starting date:

4 to 8 weeks

Work mode:

Hybrid

Published on:

22 July 2026

What they need


Project Details

  • Location: Barcelona

  • Start date: 01-Sep-2026

  • Work mode: Hybrid (3 days on-site)

  • Duration: 3 months

  • Extension possibility: Likely, into 2027

  • Language(s): English and Spanish (both mandatory)

Project Summary

We are looking for an AI Tech Lead to contribute to the development of projects within our AI program. The role combines technical leadership of a cross-functional AI squad with hands-on design and delivery of end-to-end, scalable AI solutions in an Azure cloud environment.

Profile wanted


Main Responsibilities & Key Activities

  • Lead and coordinate a cross-functional AI squad of up to 6 engineers, ensuring alignment on technical direction, priorities, and delivery timelines.

  • Define and enforce technical standards, best practices, and architecture guidelines for AI solutions across the squad.

  • Design and oversee the development of scalable backend systems and APIs supporting AI solutions on Azure.

  • Drive the integration of advanced AI capabilities: mostly RAG, plus LLMs, speech-to-text, computer vision, and Intelligent Document Processing (IDP) as a plus.

  • Architect and validate cloud-based AI solutions leveraging Azure services (Functions, App Services, Cosmos DB, Azure Key Vault, Azure OpenAI).

  • Conduct code reviews, technical mentoring, and upskilling of squad members.

  • Act as the technical interface between the squad and stakeholders (Product Owner, Data Scientists, frontend developers, business teams).

  • Monitor system performance, define reliability and observability standards, and ensure high availability of AI deployments.

  • Maintain strong awareness of market trends in Generative AI, LLMs, and prompt engineering, and translate them into actionable squad initiatives.

Experience Required

Mandatory Experience

  • 7+ years of relevant experience.

  • Leadership of AI engineering squads.

  • Design and delivery of end-to-end AI solutions in cloud environments.

Preferred Experience

  • Speech-to-text, computer vision, and Intelligent Document Processing (IDP).

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