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.

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: QA Engineer

Reporting to: Director, QA Engineering
Location: Bengaluru (Bangalore)

Opportunity:

As a member of the Quality Assurance (QA) Engineering Department, QA Automation Engineers work closely with the development and Product Management teams to develop and deliver quality software products. The QA Automation Engineer will need to possess imagination and creativity, along with the ability to provide expert level software testing skills, communication skills, and experience working in an agile development environment.

Responsibilities:

• Work in a highly collaborative, mission-driven, agile product development team.
• Execute Integration, Feature and Regression test cases using both manual and automated testing approaches. Knowledge of Unit Testing is a plus. 
• Work in support of the QA lead to help streamline testing processes for evaluating application features and determining software quality. Contribute to product and process improvement discussions and the refinement of QA best practices.
• Perform debugging and root cause analysis of product failures and log software defects.
• Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential project risks. 
• Help build scalable and reusable testing documentation in support of both manual and automated testing efforts. 
• Research and resolve any broken automation scripts that fail during execution

Requirements:

• 2+ years of technical experience strongly related to Quality Assurance/Testing and evaluation of system architecture and web applications
• 2+ years of developing and maintaining frontend automation frameworks, preferably in Groovy/Java
• Experience with at least one automation framework (e.g., Cypress, Selenium, Playwright, Katalon, TestNG, Robot Framework).
• Good understanding of API testing, database validation, performance testing, and load testing tools (e.g., JMeter, Locust, Gatling).
• Exposure to CI/CD environments and infrastructure-as-code principles.
• Experience testing on mobile devices (iOS and Android)
• Experience planning, designing, and implementing testing strategies and automation infrastructure for large scale system software
• Experience with Git or equivalent source control system, including basic concepts of code branching methodologies
• Experience with issue tracking tools (Jira preferred)
• Experience serving as a subject matter expert within a testing team on test process development and software quality measurements
• Browser, infrastructure, and remote device testing (including debug tools)
• Ability to communicate effectively and in a concise manner, both verbally and in writing
• Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI in accordance with organizational policy and Federal, State, and local regulations

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well 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 SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

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.

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.

Title: DevOps Engineer

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

Opportunity:

Responsibilities:

Infrastructure Development & Integration

• Design, implement, and manage cloud-native infrastructure (AWS, Azure, GCP) to support healthcare platforms, AI agents, and clinical applications.
• Build and maintain scalable CI/CD pipelines to enable rapid and reliable delivery of software, data pipelines, and AI/ML models.
• Design and manage Kubernetes (K8s) clusters for container orchestration, workload scaling, and high availability with integrated monitoring to ensure cluster health and performance
• Implement Kubernetes-native tools (Helm, Kustomize, ArgoCD) for deployment automation and environment management ensuring observability through monitoring dashboards and alerts
• Collaborate with Staff Engineers/Architects to align infrastructure with enterprise goals for scalability, reliability, and performance leveraging monitoring insights to inform architectural decisions.

System Optimization & Reliability

• Implement and maintain comprehensive monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog, AWS cloudwatch, AWS cloud trail) to ensure real-time visibility into system performance, resource utilization, and potential incidents.
• Implement monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog) to ensure system reliability and proactive incident response.
• Ensure data pipeline workflows (ETL/ELT, real-time streaming, batch processing) are observable, reliable, and auditable.
• Support observability and monitoring of GenAI pipelines, embeddings, vector databases, and agentic AI workflows.
• Proactively analyze monitoring data to identify bottlenecks, predict failures, and drive continuous improvement in system reliability.

Compliance & Security

• Support audit trails and compliance reporting through automated DevSecOps practices.
• Implement security controls for LLM-based applications, AI agents, and healthcare data pipelines, including prompt injection prevention, API rate limiting, and data governance.

Collaboration & Agile Practices

• Partner closely with software engineers, data engineers, AI/ML engineers, and product managers to deliver integrated, secure, and scalable solutions.
• Contribute to agile development processes including sprint planning, stand-ups, and retrospectives.
• Mentor junior engineers and share best practices in cloud-native infrastructure, CI/CD, Kubernetes, and automation.

Innovation & Technical Expertise

• Stay informed about emerging DevOps practices, cloud-native architectures, MLOps/LLMOps, and data engineering tools.
• Prototype and evaluate new frameworks and tools to enhance infrastructure for data pipelines, GenAI, and Agentic AI applications.
• Advocate for best practices in infrastructure design, focusing on modularity, maintainability, and scalability.

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
• 6+ years of experience in DevOps, Site Reliability Engineering, or related roles, with at least 3+ years building cloud-native infrastructure.
• Proven track record of managing production-grade Kubernetes clusters and cloud infrastructure in regulated environments.
• Experience supporting GenAI/LLM applications (e.g., OpenAI, Hugging Face, LangChain) and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Hands-on experience supporting data pipeline products using ETL/ELT frameworks (Apache Airflow, dbt, Prefect) and streaming systems (Kafka, Spark, Flink).
• Experience deploying AI agents and orchestrating agent workflows in production environments.

Technical Proficiency

• Expertise in Kubernetes (K8s) for orchestration, scaling, and managing containerized applications.
• Strong proficiency in containerization (Docker) and Kubernetes ecosystem tools (Helm, ArgoCD, Istio/Linkerd for service mesh).
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).
• Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Spinnaker).
• Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, AWS cloud watch and AWS cloud trail), including setting up dashboards, alerts, and custom metrics for cloud-native and AI systems.
• Good to have: knowledge of healthcare data standards (FHIR, HL7) and secure deployment practices for AI/ML and data pipelines.

Professional Skills

• Strong problem-solving skills with a focus on reliability, scalability, and security.
• Excellent collaboration and communication skills across cross-functional teams.
• Proactive, detail-oriented, and committed to technical excellence in a fast-paced healthcare environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well 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 SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Title: QA Engineer

Reporting to: Director, QA Engineering
Location: Bengaluru (Bangalore)

Opportunity:

We are seeking a skilled AI QA Engineer with 4–6 years of experience in test automation and a strong focus on validating AI/ML and LLM-based systems. The ideal candidate will have hands-on expertise in automation frameworks, API/UI testing, and experience in validating NLP/LLM models across complex, data-driven applications.

Key Responsibilities

• Design, develop, and maintain scalable automation frameworks for UI, API, and backend systems
• Perform end-to-end testing of AI/ML pipelines, including NLP and LLM-based applications
• Validate LLM outputs using techniques such as prompt validation, response scoring, and model comparison
• Build and execute test strategies for microservices and event-driven architectures
• Conduct data validation across systems using SQL/BigQuery and ensure data accuracy in pipelines
• Automate regression, smoke, and end-to-end test suites to improve coverage and efficiency
• Integrate automated tests into CI/CD pipelines using Jenkins or similar tools
• Collaborate with developers, data scientists, and product teams to ensure high-quality AI solutions
• Analyze defects, identify root causes, and ensure timely resolution
• Continuously improve test frameworks, tools, and processes

Required Skills & Qualifications

Automation & Testing

• Strong experience in Selenium WebDriver, RestAssured, TestNG
• Expertise in API Testing, UI Testing, and Microservices Testing
• Experience in building Hybrid/POM-based automation frameworks

Programming

• Proficiency in Java (mandatory)
• Basic working knowledge of Python

AI / ML / LLM Testing

• Experience testing NLP/LLM models (e.g., BERT, GPT-based models, QWEN, Gemini)
• Knowledge of NER validation, prompt testing, and output evaluation techniques
• Exposure to model validation, scoring mechanisms, and dataset validation

Data & Cloud

• Strong SQL skills with experience in BigQuery or similar platforms
• Understanding of event-driven systems (Pub/Sub or similar)
• Experience in validating JSON-based data pipelines

DevOps & Tools

• Experience with Jenkins, Maven, Git/Bitbucket
• Knowledge of CI/CD pipeline integration and test reporting (Allure or similar)

Good to Have

• Experience in Healthcare, OTT, or E-commerce domains
• Exposure to EMR/EHR systems or clinical data validation
• Knowledge of UMLS, CUI mapping, or healthcare NLP concepts
• Experience with mobile testing (Appium)

Experience

• 4–6 years of experience in QA Automation / SDET roles
• Hands-on experience in AI/ML or LLM validation is highly preferred

Education

• Bachelor’s degree in Engineering, Computer Science, or related field

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well 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 SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Title: Principal Data Software Engineer

Location: Bengaluru (Bangalore)

Opportunity:

Get Well is seeking a visionary and technically adept Principal Data Software Engineer to design, develop and optimize our cloud-native data platform supporting AI, analytics, and clinical applications. This role is pivotal in architecting scalable, secure, and high-performance data processing systems within a regulated healthcare environment. 

The ideal candidate brings deep technical expertise in data engineering, data governance, cloud infrastructure and hands-on experience with healthcare data standards, EMR integration, and clinical ontologie. The candidate should have a proven record of building secure, scalable data platforms. This position reports to the Senior Director, Product Development. This role requires close collaboration with data engineers, product teams, AI engineers and compliance specialists to deliver accurate, accessible, and actionable data solutions.

Responsibilities:

Platform Architecture & Design

• Design and implement scalable, secure, and efficient data architectures (e.g., data lakehouse, medallion architecture) to support enterprise AI and analytics initiatives.
• Define technical specifications for data ingestion, transformation, storage, and access layers.
• Evaluate and recommend tools, frameworks, and cloud infrastructure to optimize performance, scalability, and cost-efficiency.
• Ensure architectural alignment with organizational AI, analytics, and clinical application goals.

Data Engineering & Operations

• Develop and maintain high-performance data pipelines for both batch and streaming data processing, leveraging tools such as Apache Spark, Databricks or Snowflake.
• Implement deployment and orchestration frameworks (e.g., Airflow, dbt, Spark, Databricks, Snowflake)
• Adhere to engineering best practices for CI/CD, observability, incident response, and SLA adherence
• Optimize data processing systems for performance, reliability, and reusability.

• Mentor engineers to foster technical growth and ensure alignment with best practices in data engineering.

Governance, Quality & Compliance

• Collaborate with data governance and compliance teams to implement data security, encryption, and access control policies in line with HIPAA, GDPR, and other regulations.
• Ensure data quality through validation, lineage tracking, and metadata management practices.
• Support the development and maintenance of data catalogs for discoverability and stewardship

Collaboration & Technical Leadership

• Partner with data engineers, product teams, and clinical informatics specialists to deliver integrated data solutions.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and collaboration.
• Communicate complex technical designs and solutions to both technical and non-technical stakeholders effectively.
• Contribute to agile development practices, participating in code reviews, design discussions, and continuous improvement initiatives.

Innovation & Technical Expertise

• Stay informed about emerging trends in data engineering, cloud-native architectures, and healthcare data standards.
• Prototype and evaluate modern data frameworks and tools (e.g., Delta Lake, Apache Iceberg) to enhance platform capabilities.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Advocate for best practices in data platform design to ensure scalability, explainability, and compliance in AI-driven systems.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience with at least 4+ years in data engineering or platform roles
• Proven track record of designing and implementing cloud-native data processing systems.

Technical Proficiency

• Advanced proficiency in Python, Scala, SQL, and distributed data processing frameworks such as Apache Spark.
• Hands-on experience with cloud-based data platforms (e.g., Databricks, Snowflake, BigQuery, or Redshift).
• Demonstrated ability to transform raw clinical data into curated, ML-ready datasets for analytics and AI applications.
• Hands-on expertise in healthcare data standards including FHIR, HL7, USCDI, and CCDA

Professional Skills

• Strong problem-solving skills with a focus on delivering scalable and maintainable solutions.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well 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 SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Opportunity:

Get Well is seeking a technically adept Senior Software Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. 

Responsibilities:

Platform Development & Integration

Design, develop, and maintain scalable microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and third-party integrations.Implement secure and efficient interfaces to external services, ensuring seamless data exchange and interoperability with healthcare systems.Collaborate with the Staff Engineer/Software Architect to architect platform components that align with enterprise goals for scalability, reliability, and performance.Utilize modern frameworks and technologies (e.g., Spring Boot, Node.js, or Python Flask/FastAPI) to build robust platform services.

System Optimization & Reliability

Optimize platform services for performance, scalability, and fault tolerance, ensuring high availability in a healthcare-critical environment.Implement monitoring, logging, and alerting mechanisms to ensure system reliability and rapid issue resolution.Participate in code reviews, debugging, and performance tuning to maintain high standards of code quality and system efficiency.

Compliance & Security

• Ensure platform services adhere to healthcare regulatory requirements (e.g., HIPAA, GDPR) by implementing secure coding practices, encryption, and access controls.
• Collaborate with governance and security teams to enforce data privacy and compliance standards across all platform services.
• Support audit trails and logging mechanisms to ensure traceability and compliance with healthcare data standards.

Collaboration & Agile Practices

• Work closely with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Contribute to agile development processes, including sprint planning, daily stand-ups, and retrospectives, to drive continuous improvement.
• Mentor junior engineers and share best practices in software development, API design, and system architecture.

Innovation & Technical Expertise

• Stay informed about emerging trends in software engineering, cloud-native architectures, and healthcare interoperability standards.
• Prototype and evaluate new tools, frameworks, or technologies to enhance platform capabilities and support AI-driven applications.
• Advocate for best practices in software design, ensuring modularity, maintainability, and scalability in platform development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 5+ years of experience in software engineering, with at least 3+ years in platform or backend development roles.
• Proven track record of designing and implementing scalable, cloud-native platforms or services.

Technical Proficiency

• Strong proficiency in at least two programming languages such as Java, Python, Go or JavaScript/TypeScript for building REST based APIs.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) and service orchestration tools.
• Experience with message queues or event-driven architectures (e.g., Kafka, RabbitMQ) is a plus.
• Good to have: Expertise in healthcare data standards such as FHIR, HL7, USCDI, or CCDA.

Professional Skills

• Strong problem-solving skills with a focus on delivering reliable and scalable services.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well 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 SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Senior QA Engineer (AI-First | Full-Stack Quality)

Experience: 7 - 9 years

About the Role

We are looking for a Senior QA Engineer who thinks beyond traditional testing — someone who can build quality systems, not just validate them. This role is for an engineer who thrives in a fast-paced, dynamic environment, embraces an AI-first approach, and takes ownership of quality across the entire development lifecycle.

What You’ll Do

• Design, develop, and maintain scalable test automation frameworks using Playwright / Selenium
• Write high-quality, maintainable code in Python / JavaScript / TypeScript
• Build AI-driven testing solutions (test generation, flaky test detection, failure analysis, etc.)
• Integrate testing deeply into CI/CD pipelines for fast feedback and rapid releases
• Take ownership of end-to-end quality — from requirement analysis to production validation
• Work closely with developers, product managers, and DevOps to ensure shift-left quality
• Identify bottlenecks and continuously optimize test execution time and reliability
• Contribute to building internal tools, frameworks, and platforms
• Drive test architecture decisions, not just test cases 

What We’re Looking For

Core Engineering Skills

• Strong programming expertise in Java / Python / JavaScript / TypeScript
• Hands-on experience with Playwright or Selenium or cypress
• Solid understanding of API testing, UI automation, and system design
• Experience with CI/CD tools and automation pipelines
• Comfortable writing production-grade code
• Ability to create frameworks, tools, and reusable components

AI-First Mindset

• Exposure to or strong interest in applying AI/ML in testing
• Ability to leverage AI tools for:
• Test generation
• Failure triaging
• Intelligent reporting
• Curious and experimental with emerging AI capabilities
• You see yourself as a builder, not just a tester

Execution & Speed

• Thrive in a fast-paced, dynamic environment
• Bias for action — you move fast but don’t compromise on quality
• Ability to prioritize effectively and deliver impact quickly

Collaboration

• Strong communication and stakeholder management skills
• Ability to influence engineering teams on quality practices
• Comfortable wearing multiple hats: QA, Developer, SDET, DevOps

Nice to Have

• Experience with performance testing and observability tools
• Knowledge of cloud platforms (AWS/GCP/Azure)
• Experience in the healthcare domain

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.

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 seeking a highly driven and technically strong Customer Impact Lead (Technical Program Manager) to drive end-to-end execution of customer-impacting initiatives across our healthcare platform. This role is critical in ensuring that engineering delivery translates into measurable customer outcomes by aligning product, engineering, and customer success teams.

The ideal candidate brings a strong blend of technical depth and program management expertise, with the ability to operate across complex, cross-functional environments. This role requires proactive identification of risks, dependencies, and showstoppers, while driving execution with clarity and accountability. The individual will work closely with engineering, product, customer success, and operations teams to ensure readiness for customer deployments, demos, and go-lives.

In addition, this role will own development planning, release planning, and execution tracking across multiple workstreams to ensure predictable and high-quality delivery. Experience managing modern AI-first development lifecycles is a strong plus.

This position plays a key role in improving execution efficiency and delivering high-impact outcomes in a fast-paced healthcare environment.

Key Responsibilities:

Customer Impact & Program Execution:

• Define, track, and drive customer impact milestones across key workstreams (e.g., Virtual Care, IPC, Ambulatory).
• Ensure all initiatives are aligned to clear customer outcomes and timelines.
• Drive end-to-end execution across multiple cross-functional programs.
• Own development planning and ensure alignment between roadmap, engineering execution, and customer priorities.

Development & Release Planning:

• Lead release planning across multiple teams, ensuring clear scope, timelines, and dependencies.
• Track execution against plans and ensure predictable, high-quality releases.
• Establish visibility into release readiness, risks, and go-live criteria.

Risk & Dependency Management:

• Identify and proactively manage critical dependencies across engineering, data, hardware, and operations.
• Surface showstoppers early and drive mitigation plans with clear ownership and timelines.
• Ensure risks are clearly communicated with actionable next steps.

Cross-Functional Collaboration:

• Act as a bridge between engineering, product, and customer success teams across geographies.
• Ensure alignment between what is being built and what customers need.
• Coordinate closely with operations and support teams for seamless customer delivery.

Customer-Centric Delivery:

• Work with customer success teams to understand customer priorities and pain points.
• Ensure readiness for customer demos, deployments, and go-live activities.
• Drive stabilization of high-value customer accounts through improved reliability and execution.

Operating Rhythm & Reporting:

• Establish and run weekly execution and customer impact reviews.
• Provide concise, executive-level updates on status, risks, and leadership asks.
• Maintain visibility into program health, progress, and outcomes.

Insights & Continuous Improvement:

• Identify cross-program patterns and systemic issues impacting delivery.
• Drive improvements in execution efficiency and predictability.
• Promote a culture of accountability, ownership, and outcome-driven execution.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10–15 years of experience in software engineering, technical program management, or related roles.
• Strong technical understanding of software architecture, distributed systems, and cloud-based applications.
• Proven experience managing complex, cross-functional programs with multiple dependencies.
• Experience in development planning, release planning, and execution tracking across large-scale programs.
• Familiarity with AI-first development lifecycles and managing AI-driven product delivery is a plus.
• Excellent problem-solving skills with the ability to identify risks and drive mitigation.
• Strong communication and stakeholder management skills, especially in global team environments.
• Demonstrated ability to influence without authority and drive alignment across teams.
• Experience in healthcare or regulated environments is a plus.

Opportunity:

Get Well is seeking a highly skilled and proficient Staff 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. You will work closely with AI engineering teams, product teams, and cross-functional stakeholders to translate technological capabilities into impactful healthcare solutions, serving as a key technical liaison.

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.
• Develop and integrate agentic systems using frameworks like CrewAI, LangChain, and LangGraph to enable autonomous decision-making and workflow automation.
• Enhance product ecosystems by incorporating emerging AI technologies to improve 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 systems.

Cross-Functional Collaboration

• Serve as primary technical 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 and knowledge sharing

Infrastructure and Optimization

• Optimize cloud-based AI infrastructure for scalability, performance, and reliability.
• 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
• Drive continuous improvement in AI model accuracy, efficiency, and robustness.

Monitoring and Observability 

• Implement and manage monitoring solutions for AI systems using tools such as Langfuse, Prometheus, Grafana, or equivalent platforms to ensure operational health and performance.
• Analyze observability data to identify and resolve issues in AI model behavior, agentic system performance, and system reliability.
• Develop proactive monitoring strategies to detect anomalies and ensure reliability of AI deployments.

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 to mitigate biases
• Uphold high standards for secure handling of sensitive information, including ePHI and PHI, per federal, state, and local regulations.

Requirements:

• Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical field
• Total 8-12 years experience with minimum 3+ 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)
  • 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 Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well 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 SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems.
• SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-futu re.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Digital Program Developer

Position Overview

The Digital Program Developer designs, builds, and configures digital care pathways using GetWell’s content management and workflow platforms (Contentful and Total.js). This role translates clinical requirements into patient-facing digital programs by configuring content delivery, conditional logic, alerts, and multi-step workflows. You are the hands-on builder who brings care pathways to life.

Key Responsibilities

Workflow Configuration & Development (≈70%)

Care Program Build & Configuration

• Configure multi-step digital care programs in Total.js/Program Composer
• Implement conditional logic, branching scenarios, and decision trees
• Define temporal sequencing (e.g., pre- and post-procedure timelines)
• Configure alerts, escalation triggers, and severity levels
• Set up patient eligibility, enrollment, and progression logic
• Configure multi-channel communications (SMS, email, secure messaging)
• Integrate data feeds, reference dates, and enrollment criteria

Content Management (Contentful)

• Build and structure patient-facing content including:
• Educational modules and daily check-ins
• Surveys, assessments, and PROMs
• Automated messages with personalization variables
• Model structured content and reusable components
• Manage media assets (video, images, PDFs)
• Support multi-language content (English, Spanish, others as needed)

Logic & Rules Configuration

• Build scoring logic, formulas, and threshold-based alerts
• Configure skip logic, validation rules, and required fields
• Define completion criteria and program states
• Map data capture requirements and field specifications

Testing & Quality Assurance (≈30%)

Testing

• Create and execute end-to-end test plans
• Validate all logic paths, alerts, and edge cases
• Test delivery across channels and platforms
• Verify data capture, storage, and reporting accuracy
• Perform regression testing following updates or changes

Documentation

• Maintain configuration and logic documentation
• Create workflow diagrams and architecture maps
• Document business rules and decision criteria
• Support version control and change management
• Build troubleshooting and support guides

Required Qualifications

Technical & Platform Experience

• 3–5 years experience configuring complex workflows or automation platforms
  (e.g., BPM tools, CRM workflows, marketing automation platforms)
• Strong understanding of conditional logic, decision trees, and multi-step orchestration
• 2+ years experience with modern CMS platforms
  (Headless CMS preferred: Contentful, Sanity, Strapi)

Core Skills

• Strong logical and analytical thinking
• Methodical approach to testing and troubleshooting
• Comfort working with structured data and field mappings
• Ability to quickly learn new platforms and tools
• Basic understanding of APIs and system integrations

Nice to Have

• JSON/YAML configuration experience
• SQL or basic scripting (JavaScript, Python)
• Git/version control familiarity
• Jira or similar project management tools

Communication & Collaboration

• Translate clinical and business requirements into technical configurations
• Clearly communicate logic, constraints, and tradeoffs
• Document complex workflows for non-technical stakeholders
• Collaborate with product, engineering, content, implementation, and QA teams
• Present demos and walkthroughs of configured programs

Preferred Qualifications

Healthcare Experience (Helpful, Not Required)

• Familiarity with patient journeys and healthcare workflows
• Exposure to patient engagement platforms or digital health tools
• Awareness of healthcare terminology and roles
• Experience with EHR workflows (e.g., Epic, Cerner) is a plus

Advanced / Bonus Skills

• Experience with Total.js, Node.js, or Contentful
• GraphQL or HL7/FHIR exposure
• Internationalization and multi-language configuration
• Agile/Scrum team experience
• QA, testing automation, or technical documentation background

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace.

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 visionary and technically adept Principal Software Engineer to architect, design, develop and optimize our cloud-native applications supporting AI, data platform and analytics. This role is pivotal in architecting scalable, secure, and high-performance applications within a regulated care environment. 

The ideal candidate brings deep technical expertise in software architecture and engineering, data governance, and cloud infrastructure. The role will provide technical leadership across teams, ensuring high standards for code quality, performance, and reliability. This is a hands-on role, where strategic thinking meets deep engineering execution in a complex healthcare environment. This position reports to the Director, Product Development. This role requires close collaboration with software engineers, product teams, AI engineers and compliance specialists to deliver accurate, accessible, and actionable data solutions.

Key Responsibilities:

• Technical Leadership:
• Define and drive the architecture of high-scale, distributed systems powering healthcare applications.
• Provide hands-on guidance in coding, design reviews, and performance optimization.
• Mentor and lead engineers across multiple teams.
• Product Development:
• Design and implement scalable services and APIs on cloud, integrate with interoperability methodologies (FHIR, HL7, etc.)
• Contribute to the development of Data and AI platforms while collaborating with Data & Platform teams
• Develop conversational Agentic AI workflows built on top of Data and AI platforms
• Collaboration:
• Partner with product managers, UX designers, and clinical experts to align technical solutions with healthcare needs.
• Work cross-functionally with security, compliance, and DevOps to ensure HIPAA-compliant, secure software delivery.
• Innovation:
• Lead research and adoption of emerging technologies such as AI/ML in clinical decision support or predictive analytics.
• Contribute to internal engineering standards and technical strategies.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 10+ years of experience in software development, with 2+ years in a technical leadership or principal role.
• Proven experience building large-scale, distributed systems or cloud-native applications using AWS/Azure/Google Cloud/OCI and accompanying distributed tech stack (e.g. - Kafka, NoSQL DBs, Kubernetes, Docker, etc.)
• Strong proficiency in Java, Python, Node JS, Ruby/Rails
• Deep understanding of microservices, API design, and container orchestration (Kubernetes).
• Proficiency in React JS, Vue JS and other Javacript UI frameworks
• Exposure to health IT standards such as HL7, FHIR, or CDA
• Familiarity with HIPAA, data privacy, and healthcare compliance standards.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well 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 SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Opportunity:

Get Well is seeking a visionary and technically adept Staff Software Engineer to architect, design, develop and optimize our cloud-native applications supporting AI, data platform and analytics. This role is pivotal in architecting scalable, secure, and high-performance applications within a regulated care environment. 

The ideal candidate brings deep technical expertise in software architecture and engineering, data governance, and cloud infrastructure. The role will provide technical leadership across teams, ensuring high standards for code quality, performance, and reliability. This is a hands-on role, where strategic thinking meets deep engineering execution in a complex healthcare environment. This position reports to the Director, Product Development. This role requires close collaboration with software engineers, product teams, AI engineers and compliance specialists to deliver accurate, accessible, and actionable data solutions.

Key Responsibilities:

• Technical Leadership:
• Define and drive the architecture of high-scale, distributed systems powering healthcare applications.
• Provide hands-on guidance in coding, design reviews, and performance optimization.
• Mentor and lead engineers across multiple teams.
• Product Development:
• Design and implement scalable services and APIs on cloud, integrate with interoperability methodologies (FHIR, HL7, etc.)
• Contribute to the development of Data and AI platforms while collaborating with Data & Platform teams
• Develop conversational Agentic AI workflows built on top of Data and AI platforms
• Collaboration:
• Partner with product managers, UX designers, and clinical experts to align technical solutions with healthcare needs.
• Work cross-functionally with security, compliance, and DevOps to ensure HIPAA-compliant, secure software delivery.
• Innovation:
• Lead research and adoption of emerging technologies such as AI/ML in clinical decision support or predictive analytics.
• Contribute to internal engineering standards and technical strategies.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience in software development, with 4+ years in a technical lead role.
• Proven experience building large-scale, distributed systems or cloud-native applications using AWS/Azure/Google Cloud/OCI and accompanying distributed tech stack (e.g. - Kafka, NoSQL DBs, Kubernetes, Docker, etc.)
• Strong proficiency in Java, Python, Node JS, Ruby/Rails
• Deep understanding of microservices, API design, and container orchestration (Kubernetes).
• Proficiency in React JS, Vue JS and other Javacript UI frameworks
• Exposure to health IT standards such as HL7, FHIR, or CDA
• Familiarity with HIPAA, data privacy, and healthcare compliance standards.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well 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 SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Title: Software Engineer

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

Opportunity:

Get Well is seeking a technically adept Staff Front End Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. This role is ideal for an early-career engineer eager to grow their skills in a dynamic, mission-driven team.

Responsibilities:

Platform Development Support

Assist in designing, developing, and testing microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and external integrations.Implement platform components under the guidance of senior engineers and architects, ensuring alignment with enterprise goals for scalability and reliability.Write clean, maintainable, and efficient code using modern programming frameworks (e.g., Spring Boot, Node.js, or Python Flask/FastAPI).

System Maintenance & Optimization

• Support the maintenance and optimization of platform services to ensure performance, scalability, and reliability in a healthcare-critical environment.
• Assist in implementing monitoring, logging, and alerting mechanisms to maintain system health and support issue resolution.
• Participate in debugging and resolving technical issues under the mentorship of senior team members.

Compliance & Security

• Adhere to secure coding practices and healthcare regulatory requirements (e.g., HIPAA, GDPR) as directed by senior engineers and governance teams.
• Assist in implementing data privacy measures, such as encryption and access controls, to ensure compliance with healthcare standards.
• Support audit logging and documentation efforts to maintain traceability and compliance.

Collaboration & Agile Practices

• Collaborate with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives, to contribute to team goals.
• Engage in code reviews to learn best practices and improve code quality under the guidance of senior engineers.

Learning & Growth

• Stay informed about software engineering trends, cloud-native technologies, and healthcare interoperability standards through training and mentorship.
• Contribute to prototyping and evaluating new tools or frameworks to enhance platform capabilities.
• Actively seek feedback and apply best practices to grow technical expertise in software development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience in software development, including internships, academic projects, or entry-level roles
• Exposure to designing or implementing backend services or APIs is a plus.

Technical Proficiency

• Proficiency in developing highly responsive Front End applications using React, JavaScript/TypeScript, Express.js, Vue.js, Angular
• Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker) is a plus
• Familiarity with Low-code / no-code code generators like Replit AI, Cursor, Codeium, Copilot, ChatGPT etc.
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) or version control systems (e.g., Git)

 Professional Skills

• Strong problem-solving skills with a willingness to learn and tackle technical challenges.
• Good collaboration and communication skills, with the ability to work effectively in a team-oriented environment.
• Proactive, detail-oriented, and eager to grow in a fast-paced, innovative setting.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well 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 SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME