AI Developer

Company Details

Company URL: https://www.berkleytechnologyservices.com/                                        

Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC’s 60+ operating units across the globe. BTS’s wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.  

Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the “What’s Next” in our industry and beyond.  

With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future -- leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry leading technological solutions.  

Berkley Technology Services: Right Team, Right Technology, Simple and Secure.  

Responsibilities

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%.

Qualifications

• Programming: 0 – 4 yrs experience in Python and familiarity with data structures, APIs, debugging, and automated testing.
• AI/ML Foundations: 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;approaches AI as a standard part of modern workflow rather than a specializedor optional capability
• Data Foundations: Understanding of data preparation, structured and unstructured data, metadata, data quality, and basic data modeling concepts.
• RAG and Search: Familiarity through coursework, internships, projects, or practical experience with embeddings, vector search, and retrieval-augmented generation.
• Cloud AI Platforms: Exposure to Azure AI Foundry, AWS Bedrock, GCP Vertex AI, or similar platforms.
• Agentic AI: Exposure to agent or workflow frameworks such as LangGraph, n8n, Agent Development Kit, or similar.
•  Cloud/DevOps: Familiarity with Git, CI/CD concepts, containers, and cloud development environments.
• Web Development: Basic understanding of REST APIs and integrating backend services with web applications.
• Experience with AI Observability in platforms like Datadog and Langsmith.

Qualifications that are not required but are a plus

• 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 fundamental software engineering practices, including version control, testing, documentation, and code review.
•  Foundational understanding of how data is prepared, governed, and evaluated for use in AI applications.
•  Ability to learn new AI frameworks, cloud services, and engineering tools with coaching and documentation.
•  Analytical problem-solving skills and the ability to troubleshoot issues systematically and communicate findings clearly.
•  Ability to work collaboratively with technical and business stakeholders, accept feedback, and deliver incremental improvements.
•  Commitment to secure engineering, Responsible AI, customer service, and continuous learning.

Behavioral Core Competencies

• Critical Thinking
• Customer Service Oriented
• Technically Astute
• Business Knowledge
• Influential
• Conceptual Thinking
• Personal Ownership

The Company is an equal employment opportunity employer.