AI Developer/Engineer

Descrição da Vaga

Requisitos

• Colorado resident
• 3+ years of software engineering or data engineering experience, including building production Java applications
• Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work, projects, or equivalent experience
• Experience building lightweight web apps or APIs using Streamlit, FastAPI/Flask, or similar frameworks
• Familiarity with version control (Git), CI/CD, and automated testing practices
• Understanding of secure software development and handling sensitive data; ability to follow organizational security/privacy requirements

Responsabilidades

• As a member of the Architecture team, the AI Developer/Engineer supports the Senior AI Developer/Engineer and partners with cross-functional teams to design, develop, and enhance AI and machine learning capabilities that improve internal operations and staff productivity
• This role focuses on delivering incremental improvements, prototypes, and staff-facing tools (including Streamlit-based applications), implementing retrieval-augmented generation (RAG) patterns, and integrating solutions with AWS services, Amazon Q (as applicable), and Snowflake (including Cortex where appropriate)
• The AI Developer/Engineer contributes to secure, responsible, and maintainable AI-enabled applications through documentation, testing, monitoring, and continuous optimization
• Support the Senior AI Developer/Engineer and CIO-sponsored initiatives by delivering enhancements, prototypes, and internal tools that improve staff efficiency and consumer support
• Collaborate with business owners and technical teams to gather requirements, document user stories/acceptance criteria, and translate needs into implementable AI/ML solutions
• Develop and enhance internal AI-enabled applications and demos using Streamlit and related web frameworks for knowledge assistance, workflow automation, and analytics
• Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt orchestration
• Integrate AI applications with AWS services and data platforms, including Amazon Aurora/RDS PostgreSQL, S3, and approved AI services; follow security and access control standards
• Use Snowflake (including Snowflake Cortex where appropriate) to support AI/ML workloads, data preparation, and secure data access patterns
• Leverage Amazon Q (as applicable) and related enterprise assistant patterns to support internal users and knowledge discovery
• Contribute to semantic/domain models (taxonomies, metadata, reference data) that improve retrieval quality and reporting
• Write clean, testable Java code; build APIs/services; and contribute to CI/CD pipelines and automated testing
• Monitor AI application performance (quality, latency, cost) and assist with troubleshooting, incident response, and continuous improvement
• Ensure responsible AI practices: privacy, PII/PHI handling, bias awareness, auditability, and documentation; follow SOPs and security policies
• Participate in IT operations activities (standups, change management, documentation, knowledge transfer) and support end users with training and adoption
• Work schedule may include some non-traditional hours, weekends, and evening events
• Core office hours are typically 8 am-5 pm with some flexibility

Benefícios