Senior AI Software Engineer, Risk Engineering

The role:

As a Senior Software Engineer youll play a critical hands-on role in building deploying and optimizing scalable enterprise-class production-grade full-stack custom applications. The ideal candidate has 5 years of engineering experience a proven record of full-stack delivery and deep expertise in designing software 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 software applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging native database functions such as Snowflake Cortex for advanced AI workloads).
• Manage deployment pipelines and infrastructure as code using ArgoCD GitLab CI/CD and AWS best practices.
• Collaborate with the team to 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 code and design reviews and make technical decisions for AI-driven services.
• Collaborate with Product Design and Engineering to deliver high-impact solutions and foster a growth-mindset environment.
• Stay current with the latest trends in software engineering GenAI LLM infrastructure and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.

What youll need:

• Bachelors or Masters degree in Computer Science Engineering or a related technical field.
• 5 years of professional software engineering experience with a focus on full-stack frameworks and engineering to develop 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 and champion learning and innovation within the organization.

Nice to have:

• 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:

Senior IC