Associate Software Engineer Jobs in Richmond, CA

Conventus Holdings Corporation was envisioned and created to reduce the number of economic intermediaries involved in the origination, funding and investment in the $125 billion real estate bridge loan market place. True to the Latin origin of the company's name, \"to bring together,\" CHC existence and strength is anchored to a business model that removes unnecessary economic intermediates so that it can provide superior pricing and service to its clients. Our competitive edge in executing our mission is assembling, nurturing, and developing a collaborative group of talented individuals. To that end, diversity of experiences, perspectives, skills, and cultures is core to our mission and team.

Full-Time, Exempt, Performance-Based Bonus

Salary Range:$130,ooo-$160,000

Conventus is seeking an experienced Sr. Associate, Software Engineer to join our dynamic team. In this role, you will develop scalable APIs, data pipelines, and full-stack, cloud-native applications that power our lending platform. A key focus of this role is contributing to our generative AI initiatives, including building LLM-powered workflows using Claude (Anthropic) and deploying agentic AI capabilities that enhance underwriting, servicing, and customer experiences.

• Full-Stack Development:Design, develop, and maintain full-stack solutions including backend services, RESTful APIs, and responsive front-end interfaces; build and optimize data pipelines for near real-time and batch processing using Python and SQL.


• Cloud Infrastructure:Leverage AWS services (Lambda, S3, RDS, Glue, API Gateway, SageMaker, Amazon Bedrock, Amazon Textract) to build and deploy secure, scalable, AI-powered solutions.


• Generative AI & LLM Development:Prototype and ship features powered by Claude (Anthropic) and other LLMs, including prompt engineering, RAG pipeline development, LLM output evaluation, conversational workflows, and agentic automation for lending operations.


• AI & ML Collaboration:Collaborate with cross-functional teams to support AI and ML initiatives including credit scoring, fraud detection, and customer segmentation.


• Delivery & Quality:Contribute to CI/CD pipelines; monitor and troubleshoot production systems to ensure performance, reliability, and compliance with financial regulations; proactively communicate progress and raise blockers early.


• Team & Knowledge Development:Contribute to documentation, knowledge sharing, and onboarding; support and mentor junior team members by sharing best practices, assisting with task understanding, and fostering a culture of learning and continuous improvement.


• Data Modeling & Schema Design:Design and maintain database schemas and data models that support scalable, performant lending workflows; apply sound normalization principles and own the data layer underlying the APIs and pipelines you build.


• Security & Compliance-Aware Development:Build with security-first principles- including data encryption, access controls, and secure API design and maintain awareness of financial services compliance requirements (e.g., FCRA, SOC 2) as they apply to system design and data handling.


• Code Review & Engineering Standards:Actively participate in peer code reviews, providing constructive feedback and upholding engineering standards around readability, test coverage, and maintainability; take accountability for the quality of your own output and model good engineering practice for junior teammates.


• Agile & Sprint Participation:Operate within an Agile delivery model- participate in sprint planning, daily standups, and retrospectives; break down tasks into well-scoped tickets, estimate effort accurately, and deliver consistently within sprint commitments.


• Cross-System Integration:Build and maintain integrations between internal systems, third-party data vendors, and platforms such as Salesforce; ensure data flows reliably across the lending stack and that integrations are well-documented, monitored, and resilient to upstream changes.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.


• 2+ years of direct applied AI experience independently owning an AI agent, LLM-powered workflow or intelligent automation end-to-end


• Familiarity with cloud platforms (preferably AWS) and RESTful API design; exposure to CI/CD tools such as GitHub Actions, AWS CodeBuild, CodeDeploy, or CodePipeline.


• Hands-on experience with LLM-powered development, including prompt engineering, working with LLM APIs (e.g., Anthropic API), or building RAG pipelines.


• Strong analytical and problem-solving skills, effective communication, and the ability to collaborate within a cross-functional team.

What You Will Gain

• Deep familiarity with lending data across the full loan lifecycle and how that data flows across cross-functional teams and informs business decisions at every stage.


• Ownership of reporting that real stakeholders rely on, with visibility into how your work influences decisions across cross-functional teams and executive leadership.


• Experience working at the intersection of business and technology, sharpening both your analytical instincts and your ability to communicate data to non-technical audiences.


• Ment