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.