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