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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Engineer IIBrisbane, CA - **Company:** CareDx, Inc. - **Location:** Brisbane, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $133,000.0 - $166,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Application Layers, Application Performance Management, Automation of Tests, Microsoft Azure, Clinical Data Repository, Code Review, Continuous Integration, Information Engineering, Relational Databases, Software Debugging, Decision Support Systems, Programming Tools, Django Web Framework, Information Extraction, Python (Programming Language), NumPy, Software Maintenance, Software Tools, Software Engineering, SQL Databases, Web Applications, Data Logging, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Backend, Git, Fastapi, Pandas, Pytest, Scikit Learn, Information Technology, Statistics Packages, Low Latency, Plotly, Data Management, Machine Learning Operations, Streamlit Framework, Software Version Control, Data Pipelines, Databricks - **Published:** August 29, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18127851?backUrl=%2Fcareer%2F18127851%2FData-Ai-Engineer-Iibrisbane-Ca-California-Brisbane ## About the Role * Education: Bachelor's or master's degree in Computer Science, Data Science, Engineering, Biostatistics, or a related quantitative field, or equivalent practical experience. * Experience: 2+ years of experience in data engineering, backend engineering, full-stack development, analytics engineering, or a related role. * Strong proficiency in Python for data analysis and software development. * Experience working with statistical analysis, data science, or machine learning workflows. * Experience transforming prototype, research, or analytical code into maintainable software. * Experience building analytical applications using Streamlit, Plotly, Dash, or similar technologies. * Experience developing backend services or web applications using Django, FastAPI, Flask, or a similar framework. * Experience building and maintaining data pipelines that integrate multiple data sources. * Familiarity with relational databases, SQL, APIs, and common data formats. * Experience or demonstrated applied knowledge in at least one modern LLM capability, such as retrieval-augmented generation, structured extraction, tool calling, or agentic workflows. * Understanding of core production considerations for AI systems, including grounding, hallucination mitigation, output validation, security, latency, cost, and human oversight. * Experience with version control and collaborative development practices, including Git, branching, pull requests, and code reviews. * Experience writing automated tests and debugging applications across multiple technical layers. * Ability to independently deliver well-defined features while seeking guidance when requirements or technical risks are unclear. * Strong written and verbal communication skills. * Honest and transparent approach to feedback, collaboration, and accountability., * Experience in healthcare, biotechnology, clinical research, or another regulated environment. * Experience working with sensitive or protected healthcare data. * Familiarity with HIPAA-aligned application and data-handling practices. * Experience with Azure, Databricks, or comparable cloud and data platforms. * Familiarity with CI/CD practices and automated testing tools such as pytest. * Experience with pandas, NumPy, scikit-learn, statsmodels, or similar data science libraries. * Experience deploying or supporting production web applications. * Experience using modern AI-assisted software development tools, such as Codex or similar coding agents, for development, testing, debugging, and documentation. * Domain knowledge in biological medicine, healthcare, or clinical data. * Experience communicating technical work to scientific or clinical audiences. ## Description * Develop and maintain analytical applications using tools and frameworks such as Python, Streamlit, Plotly, Dash, and Django. * Own the implementation, testing, deployment, and maintenance of well-defined application features and data workflows. * Productionize statistical models and machine learning workflows developed by data scientists and statisticians. * Translate and refactor R-based research and analytical workflows into maintainable, tested Python code. * Build and maintain data pipelines that support clinical data processing, analysis, visualization, and reporting. * Develop interactive applications that enable data exploration, visualization, and decision support. * Integrate applications with relational databases, APIs, analytical outputs, documents, and other structured and unstructured data sources. * Contribute to AI-powered application features using techniques such as structured information extraction, retrieval-augmented generation, tool or function calling, and multi-step workflows. * Implement validation, grounding, logging, traceability, and human-review mechanisms for AI-generated outputs. * Collaborate with scientists, clinicians, product stakeholders, and senior engineers to translate requirements into practical technical solutions. * Participate in technical design discussions and document implementation decisions, assumptions, and tradeoffs. * Write reliable, readable, and testable code using established engineering patterns and team standards. * Participate in code reviews and incorporate feedback to improve implementation quality and technical judgment. * Monitor, debug, and improve application performance and reliability across data, model, AI, and application layers. * Follow security, privacy, and compliance requirements for sensitive healthcare data, including HIPAA-aligned practices. * Contribute to shared components, documentation, development tools, and engineering process improvements. * Communicate progress, risks, dependencies, and technical challenges clearly and proactively. ## Related Videos - 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