Job Summary
The role involves designing, developing, and managing multi-step LLM pipelines and autonomous workflows that link evidence bases to product experiences. You will also be tasked with implementing AI operations in a production environment, which includes thorough monitoring, evaluation, and system tracing to guarantee the delivery of high-quality and traceable results.
Responsibilities
- Design and construct multi-step pipelines for LLMs and agentic workflows.
- Connect evidence bases seamlessly to enhance product experiences.
- Execute and oversee AI operations in a production setting.
- Monitor and evaluate system performance, ensuring high-quality outcomes.
- Implement system tracing processes to maintain outcome traceability.
Qualifications
- Proven hands-on experience in building production-level LLM systems and agentic workflows.
- Familiarity with frameworks such as LangGraph or LangChain.
- Strong proficiency in Python programming.
- Experience with graph databases, specifically Neo4j.
- Demonstrated history of overseeing systems from deployment to monitoring.
AI Fund provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
