AI Developer
W. R. Berkley Corporation2 days ago
Manassas, VA, USAEntry Level
Responsibilities
- Contribute to Python services, APIs, workers, and reusable components that expose AI capabilities.
- Assist with retrieval-augmented generation pipelines, including ingestion, parsing, chunking, embeddings, indexing, retrieval, and validation.
- Configure and enhance agentic workflows, iterate on prompts and workflows, and execute defined evaluations.
- Prepare and validate structured and unstructured data while helping identify data quality, metadata, access, and lineage issues.
- Integrate AI capabilities into web applications and services with input/output validation and error handling.
- Use source control, CI/CD pipelines, containers, and cloud development environments according to team standards.
- Add and monitor logs, metrics, and traces; assist with troubleshooting, defect resolution, and production support.
- Apply Responsible AI, data protection, secure coding, access-control, and PII-handling practices.
- Create technical documentation, test evidence, runbooks, and user-facing guidance.
- Collaborate with engineers, analysts, QA, architects, and product owners in reviews, demonstrations, agile ceremonies, and feedback cycles.
Requirements
- 0–4 years of experience with Python and familiarity with data structures, APIs, debugging, and automated testing.
- Foundational understanding of machine learning, generative AI, large language models, prompt design, and common AI application patterns.
- Demonstrated comfort using AI-assisted tools in a professional context.
- Understanding of data preparation, structured and unstructured data, metadata, data quality, and basic data modeling.
- Familiarity with embeddings, vector search, and retrieval-augmented generation through coursework, internships, projects, or practical experience.
- Exposure to Azure AI Foundry, AWS Bedrock, GCP Vertex AI, or similar platforms.
- Exposure to agent or workflow frameworks such as LangGraph, n8n, or Agent Development Kit.
- Familiarity with Git, CI/CD concepts, containers, and cloud development environments.
- Basic understanding of REST APIs and integrating backend services with web applications.
- Experience with AI observability in platforms such as Datadog and LangSmith.
- Professional experience in software engineering, data engineering, AI/ML engineering, or a related technical field is preferred.
- Relevant internships, academic projects, open-source contributions, and personal projects may be considered.
- Ability to write readable Python code and apply version control, testing, documentation, and code review practices.
- Ability to learn new AI frameworks, cloud services, and engineering tools with coaching and documentation.
- Ability to troubleshoot systematically, communicate findings clearly, collaborate with technical and business stakeholders, accept feedback, and deliver incremental improvements.
- Commitment to secure engineering, Responsible AI, customer service, and continuous learning.
Benefits
- Approximately 5–10% travel is expected.
- The role provides guidance from experienced engineers and opportunities for technical growth and hands-on delivery.
- The company offers a collaborative environment focused on innovation, continuous learning, and career growth.
Categories
About W. R. Berkley Corporation
W. R. Berkley Corporation is a public insurance holding company that sells commercial property‑casualty coverage and insurance‑related services to businesses. Its operating units focus on primary insurance, reinsurance, and monoline excess products tailored to industry niches and regional markets. Founded in 1967 and headquartered in Greenwich, Connecticut, the company trades on the NYSE (WRB) and operates worldwide; subsidiaries include Berkley Technology Services, which supports core systems for its insurance businesses.