AI Engineer

Role:

AI Engineer Duration:

• 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.