SENIOR SOFTWARE ENGINEER II - INGESTION AI ENGINEER

Primary Duties: • Develop and implement scalable and performant solutions. • Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. • Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work. Minimum Qualifications: • BS/BTech (or higher) in Computer Science, Engineering or a related field. • 6+ years experience as an engineer doing backend or data engineering development as part of a cross-functional team. • 3+ years of experience working with SQL or other database querying language on large multi-table data sets. • 3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value. • 3+ years of experience coaching other engineers. Preferred KSA’s: • Experience with health-tech systems, like Electronic Health Records, Clinical data, etc. • Experience in designing, building and optimizing data pipelines and ETL processes. • Proficiency in working with large datasets and knowledge of data storage technologies. • Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis. • In-depth knowledge of database systems. • Experience in performance monitoring and optimization of data systems and infrastructure. • Experience with containerization and orchestration technologies such as Docker and Kubernetes. • Experience building continuous integration and continuous deployment(CI/CD) pipelines. • Experience with security and systems that handle sensitive data. • Expertise with statistical data techniques (such as causal inference, syntactic analysis, sampling methods, NLP etc), with experience in addressing challenges from incomplete, unrepresentative, and mislabeled data. • 1+ years of experience building systems incorporate AI SDK access. • Experience with prompt engineering, tool calling, MCP development, vector databases, or RAG. • AI system design. • Experience navigating considerations and tradeoffs regarding determinism vs LLM in the loop . • Development of applications using foundational models. • Experience with cloud computing platforms such as AWS, Azure or Google Cloud. Physical Requirements: • Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.