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Team Up - We Build Teams

AI Developer

Team Up - We Build Teams

. Design, develop, and implement AI-powered applications and solutions .

Posted 11/9/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI-powered applications, integrating Large Language Models, and optimizing machine learning models for performance and scalability. Proficient in Python and familiar with AI frameworks, APIs, and cloud deployment environments.

Highest-signal resume keywords
AI Application DevelopmentLarge Language Models IntegrationMachine Learning OptimizationPython ProgrammingAPI Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI EngineeringMachine LearningPrompt EngineeringNLPGenerative AIVector DatabasesRAG ArchitecturesSoftware DevelopmentSystem IntegrationContext Management
Tools & Technologies
LangChainLangGraphLlamaIndexHugging FaceOpenAI GPTClaudeGeminiCloud PlatformsAI Deployment Environments
Industry Keywords
AI SolutionsAutomated WorkflowsAI Performance MonitoringScalable AI SystemsReliable AI Solutions

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • Design, develop, and implement AI-powered applications and solutions
  • Integrate Large Language Models (LLMs) and generative AI tools into existing products and systems
  • Develop AI agents, chatbots, and automated workflows
  • Work with APIs and third-party AI platforms to integrate intelligent functionalities
  • Implement Retrieval-Augmented Generation (RAG) systems and work with vector databases
  • Develop, test, and optimize machine learning models and AI applications
  • Ensure AI solutions are scalable, reliable, secure, and efficient
  • Collaborate with development teams to integrate AI functionalities into existing software
  • Monitor AI performance and continuously improve model accuracy and efficiency

Requirements

What you’ll need
  • Proven experience in software development, AI engineering, or machine learning
  • Strong proficiency in Python and/or other relevant programming languages
  • Hands-on experience with LLMs such as OpenAI GPT, Claude, Gemini, or similar models
  • Experience with AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, or Hugging Face
  • Knowledge of APIs, backend development, and system integration
  • Experience with prompt engineering and context management
  • Understanding of machine learning, NLP, and generative AI concepts
  • Experience with vector databases and RAG architectures
  • Familiarity with cloud platforms and AI deployment environments
  • Upper-intermediate or higher English proficiency