Senior AI/ML Engineer architecting and scaling core intelligence for Raynmaker's agentic AI platform. Focusing on ML engineering, systems design, and LLM integration in production.
About the role
- Senior Software Engineer developing data- and AI-enabled platforms in healthcare. Building scalable backend services and integrating with modern data platforms.
Responsibilities
- Design and develop backend services and APIs using Python to support data ingestion, transformation, analytics, and AI workflows
- Integrate applications with Databricks, Delta Lake, and cloud-native data services
- Support batch and streaming data pipelines, including orchestration, monitoring, and reliability
- Implement secure, scalable access patterns for curated healthcare data in alignment with payer data governance and compliance requirements
- Design and integrate solutions that leverage Large Language Models for data exploration, summarization, workflow automation, and decision support
- Partner with data science and platform teams to operationalize ML- and LLM-driven capabilities in production environments
- Contribute to modern web user interfaces that surface data, analytics, and AI-driven insights
- Apply modern UI design principles to ensure usability, accessibility, and clarity for technical and business users
- Integrate frontend components with backend APIs and services
- Collaborate with data architects, platform engineers, designers, and product owners to deliver end-to-end solutions
- Participate in design reviews, code reviews, and architectural discussions
- Contribute to agile delivery practices, including backlog refinement, sprint planning, and iterative delivery
Requirements
- 5+ years of professional experience in full-stack software development
- Strong hands-on experience developing backend services using Python in production environments
- Experience working with data platforms, analytics systems, or large-scale data processing solutions
- Practical experience integrating or leveraging Large Language Models in applications or workflows
- Solid understanding of modern UI design principles and frontend development concepts
- Experience building and consuming RESTful APIs and working with asynchronous systems
- Familiarity with cloud-native architectures and security best practices
- Experience operating in regulated environments, with attention to data privacy and compliance
- Hands-on experience with Databricks, Delta Lake, or Spark-based platforms
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
ERP Analytics and AI Architect Lead in the Boeing Company overseeing complex analytics projects. Leading integration and analytics strategy aligned with S/4HANA transformation goals.
Senior Engineer providing technical leadership for AI - powered applications at Collins Aerospace. Leading projects from conception to production with a focus on AI, full - stack development, and emerging technologies.
AI Engineer designing and deploying enterprise - scale AI systems in the Innovation team of Client Data & Analytics platform. Driving innovation through Generative AI solutions while ensuring security and governance standards.
AI Engineer developing advanced AI systems for financial services. Working at Lloyds Banking Group's Agentic AI lab to enhance investment experiences through AI technologies.
Machine Learning / AI Engineer in a consulting firm, developing AI models and enhancing GovHorizon platform. Collaborating with teams to operationalize AI and ensure model performance.
Generative AI Developer designing, building, and deploying AI applications on AWS. Collaboration with platform, data, and product teams to deliver secure and scalable solutions.
Agentic AI Engineer specializing in building autonomous, goal - oriented AI systems at Booz Allen Hamilton. Transitioning AI strategy from LLM chatbots to proactive multi - agent orchestrations.
AI Engineer developing AI - enabled capabilities for content management and collaboration platforms. Involved in designing solutions for data processing and knowledge extraction using Azure AI services.
Lead Microsoft365 AI Engineer responsible for architecting AI solutions on Microsoft platforms. Driving innovation and collaboration in a fintech company, Acrisure.