AI Developer
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Role details
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Job description
As an AI Developer, you will design, build, and optimize AI-powered tools, automations, and workflows that enhance creative production across Wellcom HOME. Working closely with production teams, engineers, creatives, and AI specialists, you’ll transform business challenges into scalable AI solutions that improve efficiency, quality, and innovation.
This role combines software development, AI integration, and workflow automation to create production-ready systems that support content creation, asset management, CGI, VFX, and marketing operations., * Design and develop AI-powered applications, services, and internal tools.
- Build scalable automation workflows that improve creative and production processes.
- Integrate Large Language Models (LLMs), computer vision, generative AI, and machine learning technologies into existing production pipelines.
- Develop APIs and backend services that connect AI solutions with internal systems.
- Collaborate with creative, production, CGI, VFX, and technology teams to identify automation opportunities.
- Optimize AI models for speed, accuracy, reliability, and cost efficiency.
- Build reusable components and internal frameworks that accelerate AI development.
- Troubleshoot production issues and continuously improve system performance.
- Maintain documentation for AI tools, workflows, and technical implementations.
- Stay current with emerging AI technologies and recommend innovative applications that enhance Wellcom HOME.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or equivalent experience.
- Strong programming experience with Python.
- Experience building applications using modern AI frameworks and APIs.
- Experience working with REST APIs and cloud services.
- Understanding of machine learning concepts and prompt engineering.
- Experience with version control (Git).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
Preferred Qualifications:
- Experience with Generative AI platforms (OpenAI, Anthropic, Gemini, etc.).
- Experience using LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
- Experience deploying AI applications to cloud platforms such as Azure, AWS, or Google Cloud.
- Familiarity with Docker and containerized deployments.
- Knowledge of vector databases and Retrieval-Augmented Generation (RAG).
- Experience integrating AI into production, marketing, media, or creative workflows.
- Experience with image, video, or 3D AI technologies.
Technical Skills:
Programming
- Python
- JavaScript / TypeScript
- SQL
AI & Machine Learning
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Machine Learning fundamentals
Cloud & Infrastructure
- Azure, AWS, or Google Cloud
- Docker
- Git
- CI/CD
Development
- REST APIs
- Backend development
- Workflow automation
- Data integration
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