AI Engineer designing and maintaining scalable data - to - AI pipelines for KUBRA's customer communications solutions. Delivering AI - driven solutions that improve operational metrics across products and services.
About the role
- AI Engineer at Fieldguide specializing in developing AI agents for audit processes. Collaborating with teams to automate complex workflows and deliver enterprise-grade reliability in software systems.
Responsibilities
- Implement agentic workflows that automate complex audit tasks
- Turn customer problems into discrete, testable agent behaviors
- Integrate LLMs, tools, and retrieval logic into reliable agent experiences
- Monitor and maintain agents in production with a focus on reliability and performance
- Use AI tooling to accelerate how you design, build, and test features
- Prototype quickly and harden systems for enterprise reliability
- Build evaluations and feedback loops to improve agent outputs
- Write prompts and retrieval pipelines that perform at scale
- Work closely with senior engineers and product managers to scope and deliver features
- Translate customer workflows into clear engineering requirements
- Identify and surface capability gaps to improve team velocity
Requirements
- 1-3 years shipping production software in real-world systems
- Proficiency in TypeScript and/or Python
- Some exposure to LLM APIs (OpenAI, Anthropic, Gemini) or AI tooling
- Familiarity with retrieval pipelines, RAG concepts, or vector databases is a plus
- Experience with React and Postgres is helpful but not required
- Comfortable working in ambiguity with direction from senior engineers
Benefits
- Competitive compensation with equity
- Comprehensive health and wellness benefits
- Flexible time off and work schedules
- Technology reimbursements
- Twice-yearly in-person offsites across the U.S.
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