FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformJavaScriptNode.jsPythonReactSQLTypeScript
About the role
Key responsibilities & impact- 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 maintainable, and secure solutions, ensuring AI systems align with long-term strategies and enterprise standards.
- Write high quality, well‑tested code and guide peers in adopting best practices for AI workflow integration, model interaction, and external AI‑ service management.
- Conduct advanced troubleshooting of AI related issues, such as model performance degradation, inference bottlenecks, prompt optimization challenges, and data pipeline inconsistencies.
- 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.
- Perform unit testing and identify defects in traditional and AI-augmented code paths to strengthen shared ownership of application and AI integration quality.
- 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 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI integrationML modelsproduction codeNode.jsTypeScriptReactPythonSQLcloud platformstest-driven development
Soft Skills
mentoringcommunicationcollaborationtroubleshootingdocumentationdecision-makingbest practicescontinuous learningteamworkstrategic thinking
Certifications
Bachelor’s degree in computer science