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Senior AI Engineer
Not specifiedFull-timeAI EngineeringHealthcare Technology
Join a healthcare technology company building an AI platform that helps care teams interpret patient interactions, identify care gaps, and improve outreach. You will develop intelligent systems across data pipelines, LLM deployment, and production AI workflows.
Responsibilities
- Design, build, and maintain data and AI pipelines for healthcare data, medical records, audio signals, and system traffic
- Develop systems that extract structured entities, definitions, and actionable insights from unstructured data
- Integrate and operationalize LLMs, open-weight models, AI agents, and specialized tools in production
- Optimize model performance, inference pipelines, scalability, and latency
- Implement data-quality checks, consistency controls, and monitoring across pipeline stages
- Research emerging AI frameworks, model architectures, and agentic workflows
Requirements
- At least 6 years of hands-on experience as a Software Engineer, AI Engineer, or Data Engineer
- Experience building high-scale distributed systems with a focus on performance and resilience
- Knowledge of data processing and storage technologies such as PostgreSQL, BigQuery, Snowflake, Spark, or Kafka
- Practical experience integrating, serving, or fine-tuning large language models and specialized models
- Proficiency with a cloud platform such as AWS, GCP, or Azure
- Experience with containerized environments, including Docker and Kubernetes
Nice to have
- Experience optimizing LLM serving, including quantization and prompt engineering
- Familiarity with agent orchestration frameworks such as LangChain or LangGraph
- Experience with audio or speech processing and medical-record data systems
- Experience designing event-driven or streaming architectures
- Background in real-time inference or low-latency AI applications