Staff AI Software Engineer, Risk Engineering
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
The role:
As a Staff Software Engineer focused on Gen AI applications youll play a critical hands-on role in building deploying and optimizing scalable real-time full-stack custom applications powered by the latest advances in Generative AI. The ideal candidate has 8 years of engineering experience a proven record of full-stack delivery and deep expertise in designing AI-driven solutions from the UI to the data back-end. You will work across cross-functional delivery teams to shape technical architecture champion best practices and directly produce high-value solutions for our users.
What youll do:
- Architect design and build end-to-end user-facing AI applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging Snowflake Cortex for advanced AI workloads).
- Manage deployment pipelines and infrastructure as code using ArgoCD GitLab CI/CD and AWS best practices.
- Design and implement multi-agentic AI applications leveraging frameworks like LangChain / LangGraph enabling autonomous stateful and collaborative agent workflows for complex real-world problem solving
- Own technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement.
- Deploy optimize and monitor workflows on enterprise frameworks
- Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
- Participate in technical architecture reviews code and design reviews and help guide technical decision-making for AI-driven services.
- Collaborate with Product Design and Engineering to deliver high-impact solutions; mentor peers and foster a growth-mindset environment.
- Stay current with GenAI LLM infrastructure and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.
- Bachelors or Masters degree in Computer Science Engineering or a related technical field.
- 8 years of professional software engineering experience with heavy focus on full-stack custom product delivery specializing in AI
- Solid devops and infrastructure-as-code experience using ArgoCD and GitLab for deployment CI/CD and environment management.
- Advanced proficiency in React and front-endtoback-end custom app development.
- Extensive hands-on experience with database platforms - Snowflake strongly preferred including advanced features AI/ML integrations and Snowflake Cortex.
- Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.
- Track record of delivering high-quality production-grade scalable and highly available cloud-based services.
- Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders.
- Willingness to take ownership mentor others and champion learning and innovation within the organization.
- Exposure to other cloud-native or AI workflow orchestration platforms.
- Prior fintech or high-throughput consumer product experience.
- Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.
Required Experience:
Staff IC
Key Skills
- Campaigns
- JSP
- Dhtml
- Loans
- Automobile
About Company
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