The Community You Will Join:

The CRM Engineering team builds world-class tools that drive growth and foster meaningful relationships between Airbnb and its community, including Hosts, Guests, Law Enforcement, Government Regulators, Local Community Leaders, and more. This team tackles some of the most challenging and unique problems faced by our business. Here are a few examples:

• Growth Platform: Designed to increase supply and retain existing hosts.
• Policy Platform: Enables Airbnb to engage with regulatory bodies across the globe regarding short-term rental regulations. This platform tracks regulations that impact the Airbnb business and provides intelligence to address unique business challenges.
• Community Platform: Establishes a social platform to drive community enablement, collaboration, and success.
• Agent Tools: Empowers agents to understand and resolve issues that customers are unable to address on their own.
• Aircover Claims Platform: Facilitates the processing of claims for Aircover insurance products, offering protection to both hosts and guests.

The Difference You Will Make:

The Community Platform team is building a groundbreaking social platform aimed at delivering a differentiated service to our community. This platform will empower local communities to collaborate, support community leaders, host local and global events, provide improved resources, drive engagement, mobilize the community, and offer direct feedback to Airbnb.

We are seeking a highly skilled and motivated Full Stack engineer who is passionate about making a difference through their work. You will play a significant role in shaping the technical vision and then delivering a solution that is flexible, efficient and scales with the needs of the business. Each individual brings their own unique skill set, experiences, thought leadership and technical expertise to solve these technical challenges for Airbnb.

A Typical Day: 

• Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy to build novel products and features
• Drive, lead, and contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch.
• You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Provide critical input in team roadmap and technical direction.

Your Expertise:

• 6+ years of full software development experience
• Proficient in at least one major programming language (preferably Java / Kotlin / Scala / Ruby on Rails / Python).
• Passion for delivering products end-to-end: from ideation through planning and scoping to implementation and experimental A/B testing.
• Exposure to architectural patterns of large, high-scale web applications, such as well-designed APIs, high volume data pipelines, and efficient algorithms.
• Passionate about design and building UX products. You bring flexibility to collaboration with design and product partners by presenting tradeoffs and iterating to the ideal solution.
• Outstanding communication and interpersonal skills and detail oriented.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.

Role Overview

The Senior Finance Controller -India, will own end-to-end financial operations for OpenFX’s India entity, building the finance function from the ground up. This role is responsible for establishing payroll, accounts payable, local treasury, and statutory compliance infrastructure, creating a scalable foundation as India operations grow.

Reporting to the Head of Finance, this individual will operate as the senior finance leader on the ground in Bangalore, partnering closely with the global finance team to ensure alignment with group-level controls, reporting standards, and strategic priorities.

Core Responsibilities

• Grow and maintain the India finance function end-to-end: payroll processing, accounts payable, expense management, and vendor payments
• Evaluate the current outsourced accounting arrangements and decide whether to retain, restructure, or bring capabilities in-house
• Establish local treasury operations, including cash management, bank relationships, and fund transfers between India and group entities
• Implement and maintain India-specific financial controls, policies, and approval workflows

Payroll & Employee Operations

• Own the full payroll cycle for the India entity, ensuring accurate and timely salary disbursement, tax withholdings, and statutory deductions (PF, ESI, PT, TDS)
• Manage payroll vendor relationships and ensure compliance with local labor and tax regulations
• Coordinate with HR on new hires, terminations, bonus payments, and variable pay processing

Statutory Compliance & Tax

• Ensure timely filing and compliance with all Indian statutory requirements: GST returns, TDS returns, PF/ESI filings, professional tax, and advance tax payments
• Own monthly payroll tax review and reconciliation
• Manage quarterly VAT claims and returns, corporate tax computations and accruals
• Coordinate annual corporate tax returns, R&D tax claims, and other regulatory filings
• Partner with external auditors and tax advisors to support statutory audits and transfer pricing documentation

Accounting & Reporting

• Maintain accurate books for the India entity under Indian GAAP (and support US GAAP consolidation)
• Deliver monthly close for the India entity within group timelines, including intercompany reconciliations
• Provide regular financial reporting to the global finance team, including variance analysis and commentary
• Ensure audit-ready financial records and strong documentation practices

Local Treasury & Banking

• Manage India banking relationships, account structures, and signatory controls
• Oversee local cash positioning, fund requisitions from the group, and foreign exchange exposures
• Implement cash flow forecasting for India operations

Qualifications

• • Chartered Accountant (CA) or equivalent professional qualification
  • 8–10 years of progressive finance experience, with at least 3 years in a senior role managing India entity finance end-to-end
  • Deep expertise in Indian statutory compliance (GST, TDS, PF/ESI, Companies Act)
  • Experience building finance operations from scratch in a high-growth or startup environment
  • Strong understanding of Indian payroll, local treasury, and banking operations
  • Experience working with global teams and multi-entity structures
  • Fintech, payments, or financial services industry experience strongly preferred
  • Hands-on, builder mindset — comfortable operating without a large team initially
  • Based in Bangalore (in-office required)

About Karya:

Why was Karya on the cover of the Time Magazine , highlighted by Satya Nadella , and chosen by Google as its partner for Project Vaani? 

In part, because Karya is on a mission to provide AI enabled earning and learning opportunities to economically underserved communities, thereby building a pathway out of poverty for them. Karya achieves this while also delivering high quality, timely, and price competitive data to its clients.

Karya’s workers make at least 20 times the Indian minimum wage and through our one-of-a-kind digital work platform, we have delivered over 40 million digital tasks and are poised to positively impact over 100 thousand workers by the end of the year. In the coming years, our goal is to rapidly scale our impact by bringing economic opportunities to millions of underserved users in India.

About the Role

We are seeking an experienced finance professional to join Karya as our Senior Finance Executive. This offers an exciting opportunity for a motivated candidate to help build a strong Finance function at Karya. The Senior Finance Executive will play a critical role in managing daily accounting activities such as invoicing, reconciliations (client & vendor ledger), reconciliations related to bank and taxes (TDS and GST). Further, this role will work with other functions in ensuring all support related to Finance information. It may be noted that basic accounting in Tally is an outsourced function and hence, ledger scrutiny and differences arising out of such scrutiny need to be reported to the outsourced partner for corrections.

Reporting, roles and responsibilities

The post will report to the Finance Manager and the role is based in Bengaluru. The scope of responsibilities is as follows:

Manage daily finance operations

1. Lead and manage the daily accounting operations with the help of Karya’s outsourced accounting partner. This includes ensuring client invoices are raised in time, vendor invoices are paid in time after due approval and  ledger scrutiny is carried out to ensure accuracy of expense booked by partner.
2. Ensuring all people in the organisation abide by Karya’s financial policies.
3. Ensuring continuous compliance with regulatory requirements including determination and payment of TDS and GST liabilities by providing all the inputs required for doing so on a monthly, quarterly and annual basis.
4. Manage procurements to ensure rigorous and conscious fiscal spending. 
5. Corroborate and verify employee requests for claims and reimbursements, including scrutiny of invoices and bills.
6. Coordinate with other functions at Karya to ensure all finance support is provided for them to carry out their roles. 
7. Maintaining internal controls and financial procedures to safeguard company assets and maintain compliance with regulatory requirements.

Provide support in  financial reporting

1. Ensure donor reports are prepared and reviewed before  sharing with the Founders with accuracy and in a timely manner.
2. Ensure all donor due diligence is completed in time by providing the required financial data for due diligence.  
3. Work closely with the management to liaise with external auditors and internal team members, ensuring a smooth audit process, and address any audit findings or recommendations.
4. Contribute to and manage annual financial reporting requirements as they may arise. 

Required skills and experience

We are looking for the following competencies as a part of this role:

• B Com / CA (Inter) 
• A minimum of 5 years of experience in Financial accounting and management, with a strong track record of accounting and forecasting.
• Experience in both non-profit and for-profit financial management is preferred
• Strong knowledge of accounting principles, financial regulations, and financial software tools including MS -Excel with an eye for detail is essential.
• Ability to handle large payments dataset and carry out reconciliations.
• Exceptional communication and interpersonal skills for effective collaboration and communication with the members of other teams within Karya.
• Proven ability to work independently, adapt to a dynamic startup environment, and drive financial initiatives.
• Prior experience of handling banking relationships would be an added advantage.

What We Offer

• Flexible leave and vacation policy
• Hybrid work options
• Insurance as per industry standards
• Access to leaders in technology and social impact sectors
• A chance to contribute meaningfully to AI, digital equity, and rural development

Karya celebrates diversity and is an equal opportunity employer. All applicants will be considered without regard to race, religion, gender identity, sexual orientation, disability, or any other protected status.

Opportunity

Get Well is seeking an experienced and highly motivated Staff Data Software Engineer to help build and optimize our cloud-native data platform that powers AI, analytics, and clinical applications. You will play a key role in developing scalable, compliant data infrastructure and pipelines designed specifically for the healthcare domain, while mentoring junior engineers and leading cross-functional initiatives to drive innovation.

This is a hands-on engineering role suitable for someone who thrives at the intersection of modern data engineering, cloud-native platforms, DevOps, healthcare data, and AI enablement.  Candidates must have hands-on software development experience with at least one healthcare company—preferably in the provider space—with exposure to EHRs and core healthcare data domains.

Responsibilities

Data Engineering & Platform Development

• Design, build, and maintain scalable data pipelines supporting batch and real-time use cases.
• Develop and maintain production-grade data workflows that move and transform sensitive healthcare data across distributed systems at scale.
• Work with Spark, Databricks, Airflow/Temporal, and dbt to ingest, process, and manage structured and unstructured data.
• Design and implement reusable, efficient data models for analytics and AI/ML use cases.
• Ensure platform resiliency using CI/CD pipelines, observability tools, and logging frameworks.
• Leverage Infrastructure as Code practices using Terraform, CloudFormation, or equivalent to manage cloud resources.

Healthcare Data Integration & Compliance

• Ingest and normalize complex healthcare data sets (FHIR, HL7, CCDA, Claims, EDI, Epic/Clarity, etc.).
• Familiarity with clinical coding systems and ontologies, such as ICD-10, SNOMED CT, LOINC, or RxNorm.
• Collaborate with compliance and security teams to ensure adherence to HIPAA, GDPR, and internal controls.
• Implement fine-grained access control, encryption at rest and in transit, audit logging, and data lineage strategies.

AI & GenAI Enablement

• Work alongside AI/ML and data science teams to build pipelines feeding predictive and generative models.
• Tune data infrastructure for performance across distributed systems and hybrid data stores like SQL, MongoDB, ClickHouse.
• Prioritize scalability and flexibility in designing LLM-compatible pipelines and use GenAI best practices for healthcare use cases.
• Utilize Spark clusters and query frameworks such as SparkSQL and SPARQL for large-scale data access.
• Utilize and manage graph databases (e.g., Neo4j, Amazon Neptune, or similar) to support complex relationship modeling and healthcare data connectivity use cases.
• Enable high-quality training data pipelines and implement feature stores and model serving systems.

Data Governance, Quality & Monitoring

• Implement data quality frameworks and establish robust validation processes using tools such as Great Expectations or equivalent.
• Build automated anomaly detection tools for data drift and integrity checks.
• Support data cataloging, metadata management, and ensure consistent documentation across datasets.

Collaboration, Mentorship & Leadership

• Act as a mentor to junior engineers through code reviews, paired programming, and technical guidance.
• Lead cross-functional projects with teams including clinical informatics, architecture, security, product, and design.
• Contribute to and enforce data engineering best practices, patterns, and platform standardization.

Learning and Innovation

• Research and evaluate emerging tools and frameworks (e.g., Apache Iceberg, Delta Lake) for incorporation into the platform.
• Proactively identify opportunities to improve architecture and leverage evolving trends in GenAI and cloud-native computing.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8–12 years of experience in software or data engineering roles including at least 3 years working with large-scale or cloud-native data systems.
• Must have prior software development experience in the healthcare domain—including payers, providers, health tech, medical devices, or life sciences.
• Functional knowledge and direct experience with healthcare data types (FHIR, HL7, Claims, EDI, Epic/Clarity, etc.).
• Demonstrated experience in designing, implementing, and maintaining data pipelines that move and transform healthcare data with production-level quality, reliability, and performance.

Technical Skills

• Advanced programming experience in Python, SQL, and distributed processing with Apache Spark.
• Cloud-native platform experience with Azure.
• Proven capability with Infrastructure as Code (Terraform, CloudFormation) strongly preferred.
• Experience with data warehouses and lakes including Snowflake, Databricks, and ClickHouse.
• Familiarity working with GenAI tools and ML pipelines in production environments.
• Strong skills in data modeling, job orchestration (Airflow), data transformation (dbt), and pipeline optimization.
• Experience with DevOps/tooling stacks for CI/CD, containerization, observability, and cost optimization.
• Familiarity with data validation and anomaly detection tools such as Great Expectations.
• Experience with SparkSQL and SPARQL is a plus.

Professional Attributes

• Excellent communication and collaboration skills across cross-functional, domain, and technical stakeholders.
• Ability to lead initiatives and drive data engineering standards.
• Self-driven, with a commitment to delivering high-quality solutions in regulated and sensitive environments.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

• Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
• Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
• Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
• Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
• Collaborate with global and cross-functional teams to design and implement optimized data solutions.
• Develop scalable tools such as solution workbenches and automated reporting systems.
• Scope, prioritize, and independently handle client requests with minimal supervision.
• Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
• Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
• Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

• Comply with information security policies and processes
• Report security weaknesses, events or potential events, or other security risks, to the organization
• Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

• Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
• Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
• Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
• Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
• Collaborate with global and cross-functional teams to design and implement optimized data solutions.
• Develop scalable tools such as solution workbenches and automated reporting systems.
• Scope, prioritize, and independently handle client requests with minimal supervision.
• Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
• Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
• Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

• Comply with information security policies and processes
• Report security weaknesses, events or potential events, or other security risks, to the organization
• Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

Title: Senior AI QA Engineer
Location: Bengaluru (Bangalore)

Opportunity:

As a Senior AI QA Engineer for our Precision Patient Care Pipeline, you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies.

Key Responsibilities:

• Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations.
• Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics).
• Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity.
• Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation.
• Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics.
• Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior.

Requirements:

• 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation.
• Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems.
• AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, and custom scoring algorithms). Familiarity with tools like LangSmith, Arize Phoenix, or MLflow.
• Vibe Coding Mastery: Proficiency with AI-native development tools such as Cursor, Windsurf, Claude Code.
• Modern Automation Stack: Proficiency with frameworks like PyTest, and experience with traditional tools (Cypress, Playwright, or Selenium) for end-to-end flows.
• API & Data Testing: Solid understanding of API testing (Postman/RestAssured) and database validation (SQL/NoSQL).
• Strategic Thinking: Experience serving as a Subject Matter Expert (SME) on test process development for large-scale systems.

Preferred (Good to Have):

• Clinical Domain Knowledge: Familiarity with healthcare data standards such as FHIR, HL7, or SNOMED CT.
• Healthcare Compliance: Understanding of HIPAA regulations and the nuances of handling ePHI/PHI.
• Statistical Foundation: Understanding of sensitivity, specificity, and F1-scores in a clinical context.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Title: Senior QA Engineer
Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

As a Senior QA Engineer for our Precision Patient Care Pipeline, you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies.

Key Responsibilities:

• Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations.
• Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics).
• Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity.
• Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation.
• Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics.
• Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior.

Requirements:

• 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation.
• Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems.
• AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, and custom scoring algorithms). Familiarity with tools like LangSmith, Arize Phoenix, or MLflow.
• Vibe Coding Mastery: Proficiency with AI-native development tools such as Cursor, Windsurf, Claude Code.
• Modern Automation Stack: Proficiency with frameworks like PyTest, and experience with traditional tools (Cypress, Playwright, or Selenium) for end-to-end flows.
• API & Data Testing: Solid understanding of API testing (Postman/RestAssured) and database validation (SQL/NoSQL).
• Strategic Thinking: Experience serving as a Subject Matter Expert (SME) on test process development for large-scale systems.

Preferred (Good to Have):

• Clinical Domain Knowledge: Familiarity with healthcare data standards such as FHIR, HL7, or SNOMED CT.
• Healthcare Compliance: Understanding of HIPAA regulations and the nuances of handling ePHI/PHI.
• Statistical Foundation: Understanding of sensitivity, specificity, and F1-scores in a clinical context.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About: Phonepe is the leader in the UPI based payments in India with a market share of more than 47%. Our goal is to make payments so easy, safe and universally accepted that people never feel the need to carry cash or cards again. We believe India is at the cusp of a new mobile revolution, which will change the way we manage our money on the go. We see ourselves facilitating this change, through technology and dogged customer centricity. PhonePe went live in 2016 and till date has got over 600 mn registered users and 38 mn merchants. PhonePe has forayed into diverse areas with its offerings in all fintech segments including insurance, lending, mutual funds and stock broking. In 2024, PhonePe also launched Indus AppStore - its own native Android-based mobile app-store built for Indian consumers providing app discovery and content in 12 Indian languages.

Job Objective: Seeking a detail-oriented HR Compliance Specialist for supporting the day-to-day operations related to various statutory compliances along with maintaining records, supporting inspections, and communicating with employees.

Responsibilities:

    1. Regulatory Compliance:

      Coordinate with various internal and external stakeholders to ensure compliance with all statutory requirements pertaining to the labour laws .

      Ensure response to notices from the Government departments and submission of required data and timely filing of returns under various statutes help from PhonePe’s compliance        partners.

      Coordination in preparation and dispatch of letters/ responses to notices received from the respective Government authorities/ departments.

      Maintain MIS for tracking various compliance related activities (dues, submissions, TAT, etc). Generating reports on compliance status, risks, issues and closures internal reviews.

      2. PF related Coordination and Employee Support:

      Handle and resolve PF related queries from employees in line with the prevalent guidelines.

      Supporting employees in submitting e-JDs for correction of PF records.

      Guiding employees to file grievances on PF portal for resolution pending at departments. 

      Ensuring compliances to PF e-KYC and E- nomination requirements by following up the respective employees.

       Assisting the nominees in filling and submitting death related claims.

    3. ESIC related Coordination and Employee Support:

      Ensuring timely and accurate monthly ESIC registrations and filings.

     Maintaining and updating the mandatory ESIC records, including registers and Form-6, for ensuring 100% audit readiness for statutory inspections.

     Supporting employees with benefits and claims (sickness, maternity, accident reports) by coordinating with local ESIC offices (through the Compliance Partner) to ensure           compliance.

   4. Documentation and Record-Keeping:

    Maintain meticulous records of all compliance-related activities - registers, notices, responses, filings, and communications pertaining to the various statutes as required.

    Ensure that employee records and documentation are maintained as per statutory and audit requirements.

Capabilities & Requirements:

• Bachelor's / Master’s degree in Human Resources, Labour Laws, Social work or related field.
• Knowledge of Labour Laws, regulations, guidelines, and procedures required for Compliances.
• 1 to 2 year experience in handling statutory and labour laws compliances (including PF and ESIC). Exposure in handling compliances for large headcount (>5000) is preferred.
• Experience in handling PF matters and PF employer portal will be a plus.
• Attention to detail and accuracy in record keeping, ability to handle confidential information.
• Exhibit high execution rigour with ability to work independently.

Reporting To: Lead – Payroll and Benefits

Role Overview: The Lead – Exit & Benefits Administration is responsible for end-to-end management of employee exits and benefits administration for a high-volume sales workforce.  The role ensures timely, compliant, and accurate closure of exits and post-exit formalities, effective administration of insurance benefits along with driving process efficiency, automation, and system-led improvements to enable scale.

Key Responsibilities

1. Exit Management

• Own end-to-end exit administration for high volume exits( 800-1000 per week)   including resignation processing, separation documentation, and system updates while ensuring payroll accuracy and compliance. 
• Ensure timely and compliant closure of exits in line with statutory, payroll, and internal policy timelines.

Coordinate with payroll, HRBPs, finance, and business teams for seamless exit execution.

2. Post-Exit Formalities & Documentation

• Ensure accurate and timely issuance of:
• Relieving and experience letters
• Full & Final settlement inputs
• Statutory exit documentation (PF, ESIC, gratuity where applicable)
• Show cause and termination letters as required for the respective cases (absconding, involuntary exits, etc.)
• Maintain audit-ready documentation and records for all exits.
  
  

3. Recovery Management

• Manage employee recoveries, dues reconciliation, and write-offs as per policy and delegated authority.
• Liaise with the legal function for issuance of legal notices and follow-up in critical or high-value cases.
• Ensure strong controls and documentation for all recovery and write-off decisions.

4. Insurance Administration

• Oversee employee insurance administration across the lifecycle, including:
• Benefits enrolments
• Claims support and coordination with insurers / TPAs
• Employee query resolution
• Ensure benefits continuity, accuracy, and compliance for the employees.
• Act as an escalation point for complex or sensitive benefits cases.

5. Time-Off / Leave Management

• Own end-to-end time-off (leave) administration for the sales workforce, ensuring accurate application, approval, and system recording.
• Ensure leave data integrity for payroll processing, benefits eligibility, exit settlement and actuarial valuations.
• Manage exceptions such as:
• Backdated leave
• Incorrect balances
• Leave adjustments at exit / absconding stage 

6. Process Excellence, Automation & Systems

• Identify opportunities to simplify, automate, and standardise exit and benefits processes.
• Partner with HRIS, payroll systems, and internal tech teams to:
• Reduce manual interventions
• Improve data accuracy
• Enable real-time tracking and reporting
• Build scalable workflows to support sustained high-volume operations.
  
  

7. Compliance, Controls & Governance

• Ensure all exit and benefits processes comply with:
• Labour laws and statutory requirements
• Internal policies and delegation of authority
• Audit and data privacy standards

Support internal and external audits related to exits, benefits, and employee settlements.Proactively flag risks impacting compliance, cost, or employee experience.

8. Stakeholder & Team Management 

• Act as a key SPOC for HRBPs, payroll, finance, legal, and business teams on exit- and benefits-related matters.
• Publish regular MIS covering:
• Exit volumes and closure timelines
• Absconding and recovery status
• Benefits enrolments and claims trends

• Lead and guide a team of Exit and Benefits specialists 
• Allocate work, manage capacity, and ensure consistent output quality.
• Regular reviews, coaching, and issue resolution to maintain operational discipline and handling volume spikes, complexity, and stakeholder interactions.
• Drive standardisation of SOPs, trackers, checklists and escalation mechanisms.

Key Qualifications & Experience

• Graduate / Postgraduate in HR or a related field with 4-5 years of experience in HR Operations, Benefits Administration (Insurance), or Payroll
• Prior experience leading teams and driving process improvements/ automations in large, fast-growing organisations is essential.
• High ownership, attention to detail, compliance and execution orientation
• Ability to operate under tight timelines and high pressure
• Strong stakeholder management and analytical skills; comfort with MIS and dashboards.
• Proficient in MS Excel/ Google spreadsheets. 

Opportunity

Get Well is seeking a talented and innovative Senior AI Engineer to lead the development and deployment of advanced AI solutions within a mission-driven healthcare environment. This role is ideal for a seasoned professional with hands-on experience in machine learning (ML), large language models (LLMs), and generative AI (GenAI), with a strong focus on productionizing scalable and reliable models.

As a Senior AI Engineer, you will drive end-to-end AI development—from ideation and training data pipelines to model deployment and continuous improvement—while addressing unique healthcare data challenges. You’ll collaborate across functions including product, engineering, data science, and clinical experts to deliver high-impact AI applications, including voice assistants and multimodal systems tailored to real-world care settings.

Responsibilities

AI Model Development & Customization

• Fine-tune SLMs / LLMs and develop ML models for healthcare-specific use cases.
• Build multimodal AI systems that integrate text, structured medical data, and images.
• Optimize models for accuracy, latency, and resource efficiency in production settings.
• Evaluate and integrate speech-to-text (STT) and text-to-speech (TTS) models into conversational interfaces.
• Customize foundation models using domain adaptation and prompt engineering techniques (e.g., PEFT, LoRA).
• Develop AI algorithms from healthcare data and guide them through a full production lifecycle into deployed solutions.

Productionization & Deployment

• Lead model deployment end-to-end with cloud-native tools and infrastructure (Azure ML).
• Implement model performance monitoring, drift detection, and auto-retraining pipelines.
• Ensure AI solutions are scalable, reliable, and aligned with security and compliance requirements in healthcare environments.

Technical Leadership

• Provide technical guidance to junior AI engineers.
• Conduct design reviews and drive the adoption of best practices in model reproducibility, validation, and explainability.
• Lead the evaluation and integration of cutting-edge ML research and open-source frameworks.
• Contribute to architectural decisions aligned with clinical, business, and regulatory goals.

Data Engineering & Management

• Process and curate large-scale, structured and unstructured healthcare datasets.
• Design synthetic data generation strategies where needed to augment training.
• Handle noisy, imbalanced, or incomplete data through robust preprocessing and enrichment.
• Ensure HIPAA and GDPR compliance in data handling, encryption, and access management.
• Leverage EHR and clinical data from the provider side to engineer healthcare data pipelines and training corpora.

Bias Mitigation, Evaluation & Governance

• Lead the creation of robust evaluation strategies combining domain-specific KPIs (e.g., AUC, accuracy) with clinical relevance.
• Proactively identify, measure, and mitigate algorithmic bias, especially in patient-facing models.
• Conduct adversarial stress testing and ensure models meet safety, fairness, and ethical standards.
• Define model KPIs aligned with measurable impacts on clinical outcomes, patient safety, and workflow efficiency.

Cross-Functional Collaboration

• Translate stakeholder and product needs into robust, scalable AI solutions.
• Collaborate with clinical experts to vet model behavior and expected impact in patient and caregiver workflows.
• Participate in Agile processes including sprint planning, demos, and technical retrospectives.
• Manage documentation of model architectures, version changes, testing strategies, and key design decisions.

Learning, Innovation & Thought Leadership

• Stay up-to-date on the latest LLM advancements, STT/TTS developments, voice interaction technologies, and GenAI frameworks.
• Evaluate new models and methods (e.g., RAG, LangChain, Whisper, Tacotron) for their potential impact and feasibility.
• Advocate for responsible AI and lead initiatives in privacy-preserving and explainable ML.
• Contribute to a culture of continuous learning, internal knowledge sharing, and open technical dialogue.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
• Minimum 6+ years of industry experience in AI/ML including at least 2 years with GenAI, NLP/NLU, and LLMs.
• Must have software development experience at a healthcare company, particularly in the provider space (e.g., hospitals, clinical systems) with exposure to EHRs or related healthcare data domains.
• Proven experience developing AI algorithms using healthcare datasets and integrating them into production products or services.
• Experience building voice-enabled products or assistants is highly advantageous.

Technical Skills

• Expert in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with training/fine-tuning LLMs and modern NLP/NLU techniques.
• Hands-on expertise with STT (e.g., Whisper) and TTS (e.g. Elevenlabs) models.
• Proficient in MLOps, including model serving, experiment tracking, container orchestration, and CI/CD pipelines.
• Strong understanding of production-grade solutions using Azure.
• Familiarity with version control (e.g., Git), collaboration tools, and responsible AI practices.
• Familiar with vector databases, retrieval-augmented generation (RAG), and API deployment.
• Comfortable with healthcare regulatory frameworks (e.g., HIPAA, GDPR) and ethical data use policies.

Professional Attributes

• Curious and self-motivated, with a passion for impactful healthcare innovation.
• Effective communicator who can tailor technical concepts to non-technical stakeholders.
• Exceptional problem-solving and quantitative reasoning abilities.
• Team-oriented, growth-minded, and proactive in driving projects forward.
• Highly organized and focused on quality, reproducibility, and compliance.
• Passionate about applying AI to improve outcomes in real-world healthcare systems.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Opportunity

Get Well is seeking a highly experienced and innovative Staff AI Engineer to lead the architecture, development, and optimization of cutting-edge AI solutions across the organization’s healthcare platform. This role requires deep technical expertise in large language models (LLMs), multimodal AI systems, agentic frameworks, and voice technologies—including STT (speech-to-text) and TTS (text-to-speech).

As a Staff-level technical leader, you will guide the AI engineering lifecycle from conceptualization to deployment at scale while serving as a key cross-functional partner to product, engineering, and clinical teams. This is a high-impact, hands-on role for a forward-thinking AI expert with a strong understanding of emerging agentic systems and best practices in safety, observability, and machine learning operations in regulated environments.

Responsibilities

Healthcare-Focused AI System Design & Development

• Architect and develop production-ready AI models trained on real-world clinical datasets sourced from hospital systems, EHRs, and patient engagement platforms.
• Partner with clinical informatics and product teams to derive insights from structured and unstructured health data, including FHIR, HL7, CCDA, and EHR notes.
• Design and train speech-to-text (STT) and text-to-speech (TTS) models to power voice-enabled AI applications and virtual assistants in a healthcare setting.
• Integrate and optimize agentic systems using frameworks such as LangChain, LangGraph, or CrewAI for autonomous decision-making and workflow automation.
• Drive the end-to-end development lifecycle—from data prep and model training to evaluation, deployment, and monitoring—ensuring responsiveness and efficiency in high-impact healthcare settings.
• Evaluate and incorporate emerging AI technologies and architectural tools to improve intelligence, personalization, and user experience.

Infrastructure Optimization & MLOps

• Lead the model lifecycle from ingestion and preprocessing of healthcare datasets (e.g., EHR records, patient surveys, clinical measurements) to training, evaluation, and deployment into hospital IT ecosystems.
• Lead the design and optimization of cloud-based AI infrastructure, focusing on scalability, performance, observability, and cost-efficiency (Azure preferred).
• Establish and maintain scalable CI/CD pipelines, GPU-optimized runtimes, and real-time or batch inference systems in Azure healthcare-compliant environments.
• Ensure reliability, production-grade observability, and rollback safeguards using tools like Langfuse, Prometheus, Grafana, and other internal tools.

Monitoring, Observability & Reliability

• Set up and manage observability tools and frameworks such as Langfuse, Prometheus, Grafana, or equivalent to monitor operational health of AI models and agentic workflows.
• Establish proactive monitoring for model performance, agent behavior, anomaly detection, and feedback loop management.
• Rapidly diagnose and address system bottlenecks, drift, or failure points in production environments.

Healthcare Compliance & Responsible AI

• Ensure all AI solutions adhere to HIPAA, GDPR, and internal privacy and data security standards.
• Design and enforce ethical AI principles, focusing on bias mitigation, explainability, reproducibility, and accountability.
• Oversee secure handling and governance of sensitive data, including ePHI and PHI, in compliance with Federal, State, and local regulations.

Cross-Functional Collaboration & Technical Leadership

• Act as a principal technical liaison between AI engineering, product, design, and clinical stakeholders.
• Translate complex technical architectures into product-aligned features and user-centric outcomes.
• Collaborate closely with clinical experts to ensure AI solutions address high-impact, evidence-based healthcare needs.
• Mentor and elevate junior engineers through architecture reviews, hands-on pairing, and code quality leadership.
• Drive a culture of innovation, excellence, and learning across AI engineering and data science teams.

Qualifications

Education & Experience

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical field.
• 8–10+ years of hands-on experience in AI/ML development, with 3+ years in technical leadership or Staff/Principal-level roles.
• Proven track record of delivering production-grade AI systems in healthcare industries.

Technical Expertise

• Deep expertise in:
  • LLMs (e.g., OpenAI, LLaMA, Claude) and transformer-based NLP models
  • Multimodal learning architectures integrating text, image, and structured healthcare data
  • Fine-tune SLMs / LLMs and develop ML models for healthcare-specific use cases.
  • Agentic AI systems using frameworks like CrewAI, LangChain, and LangGraph
  • STT/TTS models (e.g., Whisper, Tacotron, FastSpeech, DeepSpeech)
• Advanced programming in Python (required); familiarity with C++ is a plus.
• Proficient in AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, and model serving stacks.
• Hands-on experience with MLOps frameworks, infrastructure-as-code, container orchestration, and model registries.
• Familiarity with healthcare data standards (FHIR, HL7, SNOMED, ICD-10) and clinical integration best practices
• Awareness of cutting-edge trends in Agentic Systems, Multimodal Context Processing (MCP), A2A (Agent-to-Agent) protocols, and healthcare-centric AI safety practices.

Professional Attributes

• Strong analytical and problem-solving abilities with a bias for action.
• Excellent communicator—able to translate complex AI systems to diverse stakeholders.
• Proven ability to work in fast-paced, cross-functional, and agile product environments.
• Committed to high standards of privacy, compliance, and ethical AI.
• Demonstrated experience mentoring engineers and influencing platform and product direction through thought leadership.
• Adaptability to rapid technological shifts and emerging AI frameworks.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Opportunity

Get Well is seeking a skilled and motivated Software Data Engineer to help implement and scale our cloud-native data platform supporting AI, analytics, and clinical applications. This role involves building, testing, and optimizing secure and high-performance pipelines and workflows that power critical healthcare applications.

As a Software Data Engineer, you will collaborate closely with staff and senior engineers to deliver robust data infrastructure in a regulated, compliance-driven healthcare environment. You’ll gain deep exposure to modern tools and cloud technologies while contributing meaningfully to transforming healthcare delivery through data and AI.

Responsibilities

Data Engineering & Pipeline Development

• Implement and maintain reliable batch and real-time data pipelines using modern frameworks such as Apache Spark, Databricks, and Snowflake.
• Support ingestion, transformation, and delivery of structured and semi-structured data across cloud-native platforms.
• Contribute to performance tuning and optimization efforts to ensure scalable and cost-effective workflows.
• Utilize orchestration tools like Airflow, Temporal and dbt to enable automation, scheduling, monitoring, and version control of pipeline operations.

Data Quality & Compliance

• Enforce data quality through the implementation of validation checks, data lineage tracking, and schema enforcement.
• Assist in meeting healthcare compliance standards (e.g., HIPAA, GDPR) by implementing best practices for data handling, encryption, and access controls.
• Work with metadata and data cataloging systems to ensure accuracy, transparency, and discoverability of enterprise datasets.

Technical Implementation & Collaboration

• Participate in agile development practices, including daily stand-ups, sprint planning, retrospectives, and backlog grooming.
• Support code reviews and debugging efforts to uphold code reliability, reusability, and maintainability.
• Collaborate with cross-functional teams, including Data Science, Product, Quality, and Security, to deliver coordination and alignment on technical implementations.

Learning & Growth

• Stay current on evolving technologies in cloud data engineering, including tools such as Delta Lake, Iceberg, and healthcare interoperability standards.
• Actively engage in knowledge sharing and continuous learning through team discussions, peer programming, and internal demos.
• Show initiative in exploring process improvements, automation opportunities, and platform enhancements.

Qualifications

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2–5 years of hands-on experience in data engineering, platform development, or software engineering focused on data systems.
• Software development experience at a healthcare company (provider space preferred), with exposure to EHR systems or healthcare data domains is strongly preferred.

Technical Skills

• Proficiency in Python and SQL for building and maintaining data workflows.
• Experience working with distributed data frameworks like Apache Spark or Databricks.
• Familiarity with data orchestration tools such as Airflow, Temporal and data modeling tools like dbt.
• Experience with data platforms such as Azure data factory, databricks, etc.
• Exposure to cloud providers - Azure preferred.
• Exposure to healthcare data types (e.g., FHIR, HL7, CCDA) and terminologies (e.g., ICD, SNOMED) is a strong plus.

Professional Attributes

• Strong analytical and problem-solving skills with attention to performance and reliability.
• Effective communicator and team player who thrives in collaborative, cross-functional settings.
• Eagerness to learn new tools and technologies and contribute to platform evolution in a fast-paced environment.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Opportunity

Get Well is hiring a highly motivated Senior Data Software Engineer to help build and scale our modern cloud-native data platform that supports AI, analytics, and clinical applications. You'll focus on developing robust and compliant data processing workflows while working closely with platform and architecture teams to operationalize next-generation, healthcare-specific data systems.

This role is ideal for an experienced engineer passionate about transforming complex healthcare data into meaningful applications through engineering excellence, collaboration, and innovation. You will play a key role in the continued growth of our data platform and help ensure that our data systems are secure, reliable, and high-performing within the healthcare industry. 

Candidates must have hands-on software development experience with at least one healthcare company—preferably in the provider space—with exposure to EHRs and core healthcare data domains.

Responsibilities

Data Engineering & Pipeline Development

• Design, implement, and maintain scalable batch and real-time data pipelines across a variety of sources and formats.
• Develop high-performance ETL/ELT workflows using tools and frameworks such as Apache Spark, Databricks, dbt, and Snowflake.
• Collaborate with Staff Engineers and Architects to translate platform architecture into executable, maintainable solutions.
• Automate data orchestrations using Airflow or other workflow managers to enable continuous data processing and delivery.

Healthcare Data Integration & Compliance

• Ingest and normalize healthcare datasets (e.g., EHR, FHIR, HL7, CCDA, Claims) in accordance with internal data models.
• Work with governance and compliance teams to meet regulatory requirements including HIPAA and GDPR.
• Implement best practices for encryption, data masking, access control, and auditability across the platform.
• Support efforts around metadata management, data lineage, and structured logging for traceability and transparency.

Platform Optimization & Technical Execution

• Tune Spark-based pipelines and SQL transformations for performance, reliability, and resource efficiency.
• Participate in code reviews, unit testing, and CI/CD processes to ensure code quality and maintainability.
• Work collaboratively across product, informatics, and DevOps teams to translate business needs into technical solutions.
• Contribute to documentation, analytics enablement, and reusability of shared platform components.

Growth, Mentorship & Best Practices

• Mentor junior engineers through code reviews, paired programming, and collaborative development practices.
• Model and advocate for engineering best practices, including clean architecture, effective testing, and proactive monitoring.
• Stay current with trends in distributed systems, cloud-native computing, data privacy, and healthcare interoperability.
• Propose and implement technical upgrades and innovative approaches based on tools like Delta Lake, Apache Iceberg, and emerging GenAI capabilities.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
• 6+ years of relevant experience in data engineering roles, with at least 3 years focused on cloud-native or large-scale data systems.
• Must have software development experience in at least one healthcare company, preferably in the provider space, with exposure to EHR systems or key healthcare data domains.
• Direct experience designing and building pipelines that move and transform healthcare data, with production-quality data quality checks at scale.

Technical Skills

• Proficient in Python, SQL, and Apache Spark for distributed processing and transformation.
• Hands-on experience with modern data platforms—such as Snowflake, Databricks, Redshift, or BigQuery.
• Deep experience working with public cloud providers, particularly Azure, including native services for data storage, processing, and orchestration (e.g., Azure Data Lake, Azure Synapse).
• Experience with orchestration tools like Airflow and transformation layers such as dbt.
• Familiar with data pipelines in regulated environments, including auditing, encryption, and compliance controls.
• amiliarity with healthcare-specific data formats (FHIR, HL7, EDI) and terminologies (ICD-10, SNOMED, LOINC).

Professional Attributes

• Strong problem-solving skills with a focus on quality, performance, and pragmatism.
• Excellent communication and teamwork skills, with the ability to work across multidisciplinary teams.
• High accountability and ownership mindset with a commitment to excellence in healthcare technology.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Opportunity:

Get Well is seeking a highly skilled and visionary Principal Engineer - AI Engineering to drive the development and implementation of advanced AI solutions. This role focuses on the technical execution of AI projects, leveraging expertise in Large Language Models (LLMs), multimodal AI systems, and agentic systems to create innovative healthcare solutions. The Principal/Staff Engineer will work closely with AI engineering teams, product teams, and cross-functional stakeholders to deliver scalable, reliable, and impactful AI technologies. This role serves as a key interface between AI engineering teams and product teams, translating technological capabilities into tangible healthcare solutions.

This position reports directly to the VP, Product Development, working collaboratively across multiple teams to advance the organization's AI capabilities and strategic objectives. 

Responsibilities:

 AI Solution Development

• Design, develop, and implement AI solutions leveraging unimodal and multimodal Large Language Models (LLMs) and agentic systems.
• Build and integrate agentic systems using frameworks like CrewAI, LangChain, and LangGraph to enable autonomous decision-making and workflow automation.
• Incorporate emerging AI technologies into existing product ecosystems to enhance functionality and user experience.
• Execute model training, fine-tuning, and optimization of inference engines for high-performance AI systems.
• Ensure technical excellence in AI solution design and implementation.
• Evaluate and integrate emerging AI technologies into existing product ecosystems.

Cross-Functional Collaboration

• Serve as primary liaison between AI engineering teams and product teams
• Translate technical capabilities into product requirements and user-centric solutions
• Help facilitate communication and alignment across engineering, product, and clinical teams
• Drive collaborative innovation processes and knowledge sharing

Infrastructure and Optimization

• Optimize cloud-based AI infrastructure for scalability, performance, and reliability.
• Create metrics and frameworks to evaluate the effectiveness and performance of AI solutions, including autonomous agent interactions
• Implement best practices for efficient AI system deployment and maintenance, including agentic workflows.

Performance and Quality Assurance

• Establish and maintain rigorous testing and validation protocols for AI models
• Create metrics and frameworks to evaluate the effectiveness and performance of AI solutions, including autonomous agent interactions.
• Drive continuous improvement in AI model accuracy, efficiency, and robustness.

Monitoring and Observability 

• Implement and manage monitoring solutions for AI systems to ensure operational health and performance.
• Utilize tools such as Langfuse, Prometheus, Grafana, or similar platforms to track model performance, latency, and resource utilization.
• Analyze observability data to identify and resolve issues in AI model behavior, agentic system performance, and system reliability.
• Establish proactive monitoring strategies to detect anomalies and ensure reliability of AI deployments.
• Create metrics and frameworks to evaluate the effectiveness and performance of AI solutions, including autonomous agent interactions.

Compliance and Ethical AI

• Ensure AI solutions adhere to healthcare regulatory standards and data privacy requirements (e.g., HIPAA, GDPR)
• Develop and enforce ethical AI guidelines
• Mitigate potential biases in AI model development
• Maintain high standards of responsible AI innovation

Requirements:

• Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical field
• Minimum 5+ years of technical leadership experience in AI/ML technologies
• Proven track record of delivering complex AI solutions in healthcare or technologically advanced domains
• Deep technical proficiency in:
  • Large Language Model (LLM) architectures
  • Multimodal AI system design
  • Agentic system development using frameworks like CrewAI, LangChain, and LangGraph.
  • Machine learning model training and fine-tuning
  • Cloud computing infrastructure (AWS preferred)
  • AI/ML frameworks and development tools (e.g., TensorFlow, PyTorch, Hugging Face)
• Experience with AI monitoring and observability tools such as Langfuse, Prometheus, Grafana, or equivalent platforms.
• Strong programming skills in Python, C++, or other relevant languages.
• Experience in agile and adaptive project management methodologies
• Exceptional problem-solving and analytical skills, with a focus on delivering scalable solutions.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Collaborative mindset with experience working in cross-functional teams.
• Ability to mentor junior engineers and contribute to team development.
• Knowledge of healthcare technology landscapes and regulatory environments (e.g., HIPAA, GDPR) is a plus.
• Awareness of emerging AI technologies, including agentic systems, MCP, A2A protocol and their potential applications.
• Adaptability to work in fast-evolving technological environments.
• Commitment to adhering to organizational information security policies and protecting sensitive information, including ePHI and PHI, in accordance with Federal, State, and local regulations.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.