Software Engineer - Full stack with AI/ML Python

Key responsibilities

•      Full Stack Engineer with Python, SQL, databricks/ snowflake, vue/ react, AWS, Kafka, automation/testing experience

•      Build and maintain scalable backend services, APIs and batch/stream data pipelines in a healthcare data environment.

•      Develop and optimize calculation/risk engines that process large volumes of claims and clinical data.

•      Write well-tested, production-grade code and participate in code reviews, CI/CD and on-call rotation.

•      Partner with product and data teams to translate requirements into reliable, performant services.

Skills - Position I

•      Python  •  SQL  •  AWS

•      Full Stack Engineer with Python, SQL, databricks/ snowflake, vue/ react, AWS, Kafka, automation/testing experience

•      Strong production experience building services and data pipelines; relational database design and query optimization; deploying and operating workloads on AWS (e.g., ECS/EKS, Lambda, RDS, S3).

•      Experience with large-scale data processing (Spark, Airflow, dbt or similar).

•      Healthcare / claims / EHR data exposure.

•      Microservices, event-driven architecture, containerization (Docker/Kubernetes).

•      Infrastructure-as-code (Terraform).

Skills AI / ML - Position II

•      Python  •  SQL  •  AWS

•      Hands-on ML engineering in Python (PyTorch/TensorFlow/scikit-learn); SQL for feature and data work; deploying ML workloads on AWS (SageMaker, Bedrock, Lambda, S3).

•      Claude code LLM / GenAI, RAG, prompt engineering, vector databases.

•      MLOps tooling (MLflow, Kubeflow, model registries).

•      Healthcare data and clinical NLP experience.

•      MLE with python, databricks, AWS, sql, nlp