Berkley

Sr. AI Engineer

Berkley$120K — $145K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of professional software engineering experience
  • 3+ years of hands-on AI/LLM engineering for production systems
  • Proficient in Python and modern engineering practices
  • Experience with Cloud AI platforms (Azure, GCP, AWS)
  • Hands-on with vector databases and search algorithms
  • Solid experience with containers and CI/CD practices
  • Familiar with AI observability tools like Datadog and Langsmith

Responsibilities

  • Build and maintain Python services and microservices that integrate AI functionalities
  • Implement end-to-end RAG pipelines using Azure AI or Pinecone
  • Create and manage agentic workflows utilizing tools like LangGraph and n8n
  • Integrate AI into web applications with a focus on input/output validation
  • Manage CI/CD processes and containerization for deployed services
  • Advance Responsible AI practices, ensuring data protection and access controls
  • Collaborate with cross-functional teams to gather requirements and iterate on development

Benefits

  • Flexible working hours
  • Opportunities for continuous learning and professional development
  • Comprehensive health and wellness programs
  • Collaborative and innovative work environment
  • Participation in cutting-edge AI technology projects
Full Job Description
Responsibilities

The Sr. AI Engineer is focused on building, testing, and operating AI-enabled features and services. Senior AI Engineers deliver production code: implementing services and agentic workflows, wiring up retrieval-augmented generation (RAG) pipelines, integrating with web applications, and instrumenting systems for reliability, security, and cost.

 

  • Build Python services and microservices (APIs, workers) that expose AI capabilities; write clean, tested, maintainable code.
  • Implement end-to-end RAG pipelines: connectors, parsing, chunking, embeddings, indexing, and retrieval using Azure AI Search and/or Pinecone.
  • Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on prompts/flows and automate offline/online evaluations
  • Integrate AI into web applications (REST/GraphQL, events) with attention to input/output validation, rate limiting, and graceful degradation.
  • Own CI/CD and containerization for your services; add telemetry (logs/metrics/traces), dashboards, and alerts; participate in on-call/incident response
  • Apply Responsible AI, data protection, and access controls; contribute guardrails (filters, red-teaming, PII handling) in code.
  • Collaborate with analysts, QA, and product owners to refine requirements; demo increments and incorporate feedback in an agile cadence
Qualifications
  • 5+ years of professional software engineering experience.
  • 3+ years of hands-on applied AI/LLM engineering delivering agentic AI production systems.
  • Proficiency in Python and modern engineering practices (testing, linting, typing, packaging, CI).
  • Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock.
  • Hands-on experience with vector databases and search algorithms.
  • Solid experience with containers and CI/CD; practical AI observability (logs/metrics/traces) and production support mindset.
  • Developed multi-agent systems using MCP and A2A technologies.
  • Hands on experience with Agentic AI development tools like Cursor, Claudecode and Github copilot.
  • Clear, concise communicator able to collaborate with analysts, QA, architects, and business stakeholders.
  • Experience with AI Observability in platforms like Datadog and Langsmith.
  • Bachelor’s degree with emphasis in related field or equivalent experience.

Qualifications that are not required but are a plus

  • Familiarity with knowledge graphs (e.g., Neo4j) and graph queries (e.g., Cypher)
  • Experience leveraging and training NLP models
  • Experience fine-tuning LLMs and VLMs
  • Experience with LLM evaluation frameworks like DeepEval and RAGAs

About Berkley

Berkley is a packaging company that develops innovative solutions to help our customers sell more product and be on the edge. Berkley offers the cost advantages and creative control of an in house/on site agency without the risk and hassle of oversight. Berkley develops turnkey retail environments – including design, manufacturing and installation services.

Berkley Careers

Joining Berkley presents a prime opportunity to be part of a team renowned for its leadership in the industry, fostering innovation and growth. Berkley, a company committed to professional excellence and diversity, offers a range of job opportunities that cater to various skills and career aspirations.

Explore Job Opportunities

Berkley is actively hiring, seeking individuals who are passionate, driven, and ready to contribute to a dynamic team environment. With a variety of positions available, Berkley provides a platform for professionals at every stage of their career, from entry-level to senior leadership roles.

Internship Programs

Kickstart a career with Berkley through comprehensive internship programs designed to provide hands-on experience in a real-world setting. Internships at Berkley are a gateway to full-time employment, offering invaluable industry exposure and networking opportunities.

Professional Growth and Development

Berkley is dedicated to the continuous professional development of its team members. The company supports career advancement through leadership training programs, workshops, and seminars that enhance skills and foster innovation.

Diversity and Inclusion

At Berkley, diversity is celebrated and actively promoted through various initiatives and diversity training programs. The company believes that a diverse workforce is key to driving creativity and innovation.

Benefits and Culture

Employees at Berkley enjoy a range of benefits designed to support their professional and personal lives. The company culture emphasizes teamwork, respect, and integrity, creating an environment where everyone can thrive.

Applying for a Position

To apply for a position at Berkley, candidates are encouraged to submit a resume that highlights relevant experience and skills. The interview process is designed to assess not only professional qualifications but also a candidate's fit with Berkley's culture and values.

Stay Connected with Berkley Careers

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Learn more about Berkley
Size
51 employees
Industry

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