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AI Developer
Team Up - We Build Teams. Design, develop, and implement AI-powered applications and solutions .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesCloudPython
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