CareMetx, LLC

Senior Engineer I, AI Analytics

CareMetx, LLC

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • Build Next-Gen AI-Based Analytics Platform
  • Design and develop an AI-native data insights and analytics platform that delivers real-time, intelligent insights to business stakeholders.
  • Integrate AI agents, LangChain, LangGraph, and other AI frameworks as core platform capabilities, not afterthoughts.
  • Build APIs and microservices that power analytics features and serve insights to end users.
  • Create user-facing analytics capabilities that are intuitive, fast, and powered by AI.
  • Architect Real-Time Data Infrastructure
  • Design and implement real-time data pipelines using streaming technologies (Kafka, AWS Kinesis, etc.).
  • Build event-driven architectures that process and analyze data as it arrives.
  • Create high-performance data processing jobs optimized for speed and scalability.
  • Ensure data flows are reliable, monitored, and self-healing.
  • Software Engineering Excellence
  • Apply software engineering best practices: clean code, testing, CI/CD, version control, code reviews.
  • Write production-grade Python and SQL code that is maintainable, testable, and well-documented.
  • Design systems with scalability, observability, and reliability in mind.
  • Build with modern development practices and tools.
  • Innovation and Problem-Solving
  • Proactively identify inefficiencies, gaps, and opportunities for improvement in data systems and processes.
  • Experiment with new technologies and approaches to solve complex data challenges.
  • Drive innovation by proposing and implementing creative solutions.
  • Take ownership of problems and see them through to resolution—be a self-starter who doesn't wait to be told what to do.
  • Migration and Maintenance
  • Support and maintain existing data warehouse infrastructure during the transition period.
  • Plan and execute migration strategies from legacy systems to the new platform.
  • Ensure business continuity while building the future state architecture.
  • Collaboration and Leadership
  • Work closely with data analysts, data scientists, product managers, and business stakeholders to understand needs and translate them into technical solutions.
  • Mentor junior engineers and contribute to the growth of the data engineering practice.
  • Communicate technical concepts clearly to both technical and non-technical audiences.
  • Leverage AI for Development
  • Use AI tools (including Claude, GitHub Copilot, etc.) to accelerate development and improve productivity—we care about outcomes, not how you get there.
  • Stay current with AI/ML advancements and identify opportunities to leverage them in the platform and in your workflow.
  • Maintain regular and reliable attendance, including being present, on time, and prepared for work as scheduled.
  • Performs any other duties as assigned by management.

Requirements

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • 6+ years of experience in data engineering or software engineering with a focus on data systems.
  • Experience with streaming technologies (Kafka, AWS Kinesis, Spark Streaming, etc.).
  • Hands-on experience building real-time data pipelines and event-driven architecture.
  • Hands-on experience with AWS services including Lambda functions, AWS Glue, and S3.
  • Experience with modern data tooling: DBT (Data Build Tool), data orchestration frameworks.
  • Experience leveraging AI/ML tools and frameworks including LangChain, LangGraph, and AI agents for automation and intelligent workflows.
  • Proven ability to design and build APIs and microservices.
  • Experience with data warehousing concepts and database design is a plus.
  • Experience with JavaScript/React is a plus.
Benefits
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLKafkaAWS KinesisAWS LambdaAWS GlueS3DBTLangChainLangGraph
Soft Skills
problem-solvinginnovationmentoringcommunicationcollaborationself-starterownershipproactive identificationtechnical translationcreativity
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer ScienceBachelor's degree in Information SystemsMaster's degree in Information Systems