R

RhythmX AI

AI-powered platform enabling hyper-personalized primary care

Data Engineering Lead

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • At least 10 years of experience in data engineering, with proficiency in Python, PostgreSQL or another variant, MongoDB, and Milvus Vector DB.
  • Experience building and managing data pipelines using hospital EHR data and other clinical data sources, such as HIEs and clinical standards bodies including CMS and NCQA.
  • Demonstrated experience with data lakes and scalable data storage solutions.
  • In-depth knowledge of large language models, prompt engineering, embedding techniques, prompt optimization, chunking strategies, and prompt tuning and context management.
  • Knowledge of generative AI solution performance and scalability, and experience maximizing accuracy, minimizing latency, and enhancing performance.
  • Hands-on experience with Python and data engineering using Airflow.
  • Hands-on experience with the Azure OpenAI stack for GPT-4, GPT-4o, and o3/o4 models.
  • Hands-on experience with Weaviate or Milvus vector databases.
  • In-depth knowledge of natural language processing.
  • Experience taking at least one generative AI implementation into production and implementing at least one retrieval-augmented generation solution.
  • Hands-on experience with LangChain, LlamaIndex, or similar tools and frameworks.
  • Strong exposure to healthcare-domain data workflows, including FHIR and HL7 standards.
  • Experience in healthcare data engineering, including ETL, normalization, validation, and secure data exchange.
  • Ability to integrate clinical data sources, including EHR/EMR systems, into AI and analytics pipelines.
  • Knowledge of tool calling, MCP, RAG, GraphRAG, and other LLM-based retrieval and search.
  • Ability to work with onshore and offshore teams.

Responsibilities

  • Develop and optimize data pipelines for efficient extraction, transformation, loading, and management of large-scale healthcare and clinical-guidelines data.
  • Manage sensitive healthcare data in accordance with FHIR and HL7 standards, including variations in Epic Clarity extracts, Quality Measures, Drug Formularies, and Clinical Guidelines, while meeting data regulations and client needs.
  • Use Airflow, Temporal, or similar tools to manage complex data and knowledge workflows for healthcare data processing at scale, including RAG, GraphRAG, tool calling, MCP, search, retrieval, and aggregation.
  • Support data scientists and backend developers by integrating and maintaining data systems across the organization.
  • Support assessment and validation of large-scale generative AI systems using tools such as RAGAs and Opik.
  • Apply technical skills to address healthcare-sector challenges and contribute to solutions that enhance patient care.
  • Guide the team in problem solving.

Desired Qualifications

  • Expertise with the Azure technology stack to improve data processing and storage capabilities.
  • Experience with clinical data quality management and validation.
  • Knowledge of anomaly and outlier detection techniques in large datasets.
  • Proficiency querying massive datasets to drive insights and decisions, with experience in ClickHouse, Snowflake, or Starburst.
  • Experience building and maintaining RESTful web services for data integration and accessibility.
  • Experience building large-scale recommendation systems and managing recommended items that receive end-user clinical feedback.
  • Experience with learning systems, including reinforcement learning, that use feedback as an input to machine learning.
  • Familiarity with large language models, retrieval-augmented generation, and fine-tuning architectures.
  • Expertise in model monitoring and debugging.
  • Expertise in continuous integration and continuous delivery of generative AI solutions.
  • Familiarity with HIPAA-compliant data handling and protected health information/personally identifiable information governance in healthcare AI/ML systems.
  • Experience fine-tuning data applications and healthcare applications, such as language models fine-tuned for medication terminologies.

About the Company

RhythmX AI

AI-powered platform enabling hyper-personalized primary care

temp

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Stockholm, United States
Founded
2023

Recently Posted Jobs

Explore more opportunities at RhythmX AI

See more jobs