Note: The job is a remote job and is open to candidates in USA. BECU is a financial institution focused on serving its 1.5 million members and over $30 billion in managed assets. They are seeking a Sr. Software Engineer to play a key role in integrating advanced AI capabilities into their applications, designing scalable software solutions, and guiding AI technology adoption across the organization.
Responsibilities
- Build AI-Powered Features: Develop and implement moderate to complex application features and services, including high-impact components that integrate AI/ML models or AI service APIs
- Design Scalable Systems: Design scalable maintainable, and secure solutions, ensuring AI systems align with long-term strategies and enterprise standards
- Champion Engineering Excellence: Write high quality, well-tested code and guide peers in adopting best practices for AI workflow integration, model interaction, and external AI-service management
- Troubleshoot AI Performance: Conduct advanced troubleshooting of AI related issues, such as model performance degradation, inference bottlenecks, prompt optimization challenges, and data pipeline inconsistencies
- Drive Innovation Opportunities: Identify transformative opportunities in AI integration patterns, automation strategies, development tools, and deployment pipelines. Mentor junior staff in AI technologies, coding practices, and decision-making
- Ensure Quality & Reliability: Perform unit testing and identify defects in traditional and AI-augmented code paths to strengthen shared ownership of application and AI integration quality
- Collaborate Cross-Functionally: Partner with cross functional teams to evaluate new AI capabilities, assess technical feasibility, and contribute to the roadmap for AI-enabled features and platforms
- Share Knowledge: Share knowledge and best practices within the team by documenting patterns for AI integration, participating in learning sessions, and supporting a continuous learning environment around evolving AI technologies
Skills
- Bachelor's degree in computer science or equivalent experience
- Minimum 5 years of experience designing software and writing production code in a team environment
- Proficiency in one or more major stacks (e.g., Node.js, TypeScript/React, Python), including demonstrated experience integrating AI/ML services into production applications
- Experience with SQL and cloud platforms (Azure/AWS/GCP), including services used in AI/ML solution development, deployment, monitoring, and optimization
- Strong understanding of secure coding standards, test‑driven development, and responsible AI practices, including validating, monitoring, and safeguarding model outputs
- Excellent verbal and written communication skills with the ability to mentor staff and contribute to technical strategy, standards, or best practices
- Proficient in using AI-augmented workflows to streamline coding, debugging, and documentation using AI coding assistants
- Experience designing AI enabled ‑architectures or leading AI feature development in production environments
- Knowledge of containers and orchestration (Kubernetes preferred)
- Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, TeamCity)
- Deep understanding of TDD and testing methodologies
- Proficiency with Git and branching standards
- Knowledge of ML Ops, vector databases, embedding pipelines, or advanced prompt engineering techniques
Benefits
- 401(k) Company Match (up to 3%)
- 4% annual contribution to your 401(k) by BECU
- Medical, Dental and Vision (family contributions as well)
- PTO Program + Exchange Program
- Tuition Reimbursement Program
- BECU Cares volunteer time off + donation match
Company Overview
As a member-owned, not-for-profit financial cooperative, BECU is guided by the credit union philosophy of “people helping people.” In fact, putting people over profit guides our everyday business decisions. It was founded in 1935, and is headquartered in Tukwila, Washington, USA, with a workforce of 1001-5000 employees. Its website is https://www.becu.org/landing/fintech-incubator.