Must - Artificial Intelligence Developer, Machine Learning Engineer, Python, LLMs, OpenAI, Prompt Engineering, Vector Database, API Design and Development
Skills
- Programming & Frameworks: Python, APIs, ML frameworks, and AI tools (GitHub Copilot, Codex, Claude Code, LangChain, ADK, ChatGPT, MS Copilot).
- AI/ML Systems: LLMs (OpenAI GPTs, Google AI, Claude), embeddings, and vector databases.
- APIs: Building and managing integrations.
- Core Competencies: Prompt Engineering, Model Evaluation & Design, and AI Architecture Design.
- Data: Preparation and generation.
- Cloud Services: AWS and Google Cloud Platform.
Roles & Responsibilities
Responsibilities
- Conduct R&D on AI/ML technologies and architectures.
- Deploy AI/LLM and agentic applications for proof-of-concept demonstrations; assist in scaling solutions for production.
- Explore and implement traditional AI, Gen AI, and Agentic AI.
- Stay current on AI trends and evangelize emerging technologies.
- Evaluate and pilot third-party AI solutions for scalability and business value.
- Prototype solutions to inform future productization.
- Collaborate on data preparation and synthetic data generation strategies.
- Validate model performance, safety, and operational readiness.
- Contribute to AI system architecture and manage workflows in cloud environments.
- Collaborate with AI Business Partners.
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