AI Engineer
About The Position
Our Information Technology team is seeking an IT AI Engineer, who supports the development of AI-powered tools and automation workflows. As a Mid-Level AI Engineer, this resource builds and maintains AI-powered workflows and agents that integrate with business systems. This role focuses on process optimization, solution/platform guidance, implementing practical AI solutions, and optimizing system performance and cost efficiency. This resource will actively engage with business users to educate and evangelize the utilization of AI for practical improvement of process. You will work closely with IT and the business to develop solutions to advance the utilization of our AI platforms.
Requirements
- Experience with Python, JavaScript, or TypeScript.
- Experience integrating REST APIs and services.
- Familiarity with LLM APIs (OpenAI, Anthropic, Azure OpenAI).
- Knowledge of prompt engineering techniques.
- SQL experience for querying and integrating data.
- Understanding of workflow orchestration concepts.
- 3–7 years of experience in software engineering, AI engineering, or automation development.
- Experience building LLM-powered tools or automation workflows.
Nice To Haves
- Builds reliable AI agents used in production.
- Integrates AI with real business tools and data.
- Improves output quality through prompt iteration and evaluation.
- Keeps AI system costs under control.
Responsibilities
- Build and maintain simple AI agents and automation workflows.
- Implement agent capabilities such as tool usage, task execution, and structured outputs.
- Design prompt strategies to guide model behavior and improve reliability.
- Integrate AI agents with external APIs and internal services.
- Connect agents to SQL databases and data sources.
- Develop backend services supporting agent functionality.
- Experiment with prompt engineering techniques.
- Design and refine multi-step AI workflows.
- Improve system reliability through iteration.
- Evaluate model responses using defined metrics.
- Identify failure cases and implement improvements.
- Monitor system performance and usage.
- Optimize token usage and API calls.
- Implement caching and efficient prompt design.
- Help maintain predictable operational costs.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
