At Berkley Technology Services, we believe AI-assisted ways of working are becoming a foundational part of how excellent engineering work gets done - much like the way digital communication tools did a generation ago. We expect every member of our team to actively integrate AI tools into their daily work, not as a substitute for expertise, but as a natural extension of it. Candidates who bring genuine curiosity about AI, and a demonstrated habit of using it to work smarter, will find themselves at home here.
The AI Developer is an entry-level engineering role focused on learning and contributing to the development, testing, and operation of AI-enabled features and services. AI Engineer Associates work under the guidance of experienced engineers to build Python components, support retrieval-augmented generation (RAG) and agentic workflows, integrate AI capabilities into applications, and apply sound software engineering, data, security, and Responsible AI practices. The role emphasizes technical growth, hands-on delivery, collaboration, and continuous improvement.
- Contribute to Python services, APIs, workers, and reusable components that expose AI capabilities, following established coding, testing, and review standards.
- Assist with RAG pipelines, including data ingestion, document parsing, chunking, embeddings, indexing, retrieval, and result validation.
- Configure and enhance agentic workflows using approved frameworks; support prompt and workflow iteration and execute defined evaluations.
- Prepare and validate structured and unstructured data for AI use cases; help identify data quality, metadata, access, and lineage issues.
- Integrate AI capabilities into web applications and services with guidance, including input/output validation and error handling.
- Use source control, CI/CD pipelines, containers, and cloud development environments in accordance with team standards.
- Add and monitor application logs, metrics, and traces; assist with troubleshooting, defect resolution, and production support.
- Apply Responsible AI, data protection, secure coding, and access-control practices; implement established guardrails and PII-handling patterns.
- Create and maintain technical documentation, test evidence, runbooks, and user-facing guidance.
- Collaborate with engineers, analysts, QA, architects, and product owners; participate in agile ceremonies, demonstrations, peer reviews, and feedback cycles.
- Travel for this position is approximately 5-10%.