Senior Software Engineer (Ingestion AI Engineer)

Join Aledade, a healthcare technology company focused on improving patient care. As a Senior Software Engineer (Ingestion AI Engineer), you will tackle the variability problem in data ingestion, leveraging cutting-edge AI tools to design systems that handle diverse data formats. You will work closely with Engineering Managers, Product Managers, and stakeholders to develop and execute technical roadmaps using Agile processes. Additionally, you will mentor and coach junior engineers and contribute to the overall success of the company. Enjoy a remote-first working environment, flexible schedules, and a range of benefits including generous PTO, paid parental leave, and company stock options.

• Conception et mise en œuvre de systèmes capables de gérer la variabilité des données reçues de sources externes.
• Collaboration avec les responsables techniques, les chefs de produit et les parties prenantes pour développer et exécuter des feuilles de route techniques.
• Mentorat et coaching des ingénieurs juniors, y compris des examens approfondis des demandes de tirage d'autres développeurs.
• Experience navigating considerations and tradeoffs regarding determinism vs LLM in the loop
• 1+ years of experience building systems incorporate AI SDK access
• BS/BTech (or higher) in Computer Science, Engineering or a related field
• Experience with security and systems that handle sensitive data
• Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required
• 6+ years experience as an engineer doing backend or data engineering development as part of a cross-functional team
• Proficiency in working with large datasets and knowledge of data storage technologies
• Experience with prompt engineering, tool calling, MCP development, vector databases, or RAG
• Experience with cloud computing platforms such as AWS, Azure or Google Cloud
• 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
• Experience building continuous integration and continuous deployment(CI/CD) pipelines
• Experience with health-tech systems, like Electronic Health Records, Clinical data, etc
• 3+ years of experience working with SQL or other database querying language on large multi-table data sets
• AI system design
• Experience in performance monitoring and optimization of data systems and infrastructure
• In-depth knowledge of database systems
• 3+ years of experience coaching other engineers
• Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Development of applications using foundational models
• 3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
• Experience in designing, building and optimizing data pipelines and ETL processes