Description
The AI Engineer is responsible for designing and delivering AI-powered solutions that improve engineering productivity and business workflows.
Key Responsibilities:
- Lead AI-driven solution development, identifying high-impact AI use cases across engineering and business workflows
- Design end-to-end AI solutions leveraging LLMs, orchestration, and automation
- Build LLM-based applications, including prompt frameworks, orchestration layers, and integrations
- Develop and evolve AI-powered agents for workflow automation and decision support
- Design data, context, and chunking strategies to structure and prepare data for LLM consumption
- Apply strong AI/ML foundations, understanding and reasoning about model behavior, evaluation, bias, and limitations
- Drive engineering productivity with AI, applying AI tools to improve developer velocity and quality
- Build data pipelines and integrations to support AI workflows, developing APIs, services, and applications embedding AI capabilities
Requirements:
- Strong foundation in AI/ML concepts, especially LLMs and modern AI systems
- Hands-on experience with prompt engineering, LLM orchestration frameworks, context design, chunking strategies, and retrieval techniques
- Solid software engineering and system design experience
- Ability to build end-to-end AI solutions
- Pragmatic mindset focused on quality, usability, and business impact
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