JOB EXPECTATIONS/DUTIES
- AI Agent Development
- 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.
- Integration & Tooling
- Integrate AI agents with external APIs and internal services.
- Connect agents to SQL databases and data sources.
- Develop backend services supporting agent functionality.
- Prompt & Workflow Optimization
- Experiment with prompt engineering techniques.
- Design and refine multi-step AI workflows.
- Improve system reliability through iteration.
- Evaluation & Monitoring
- Evaluate model responses using defined metrics.
- Identify failure cases and implement improvements.
- Monitor system performance and usage.
- Cost & Efficiency Management
- Optimize token usage and API calls.
- Implement caching and efficient prompt design.
- Help maintain predictable operational costs
QUALIFICATIONS/REQUIREMENTS
Technical Skills
- 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.
Professional Experience
- 3–7 years of experience in software engineering, AI engineering, or automation development.
- Experience building LLM-powered tools or automation workflows.
- What Success Looks Like
- 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.
