Ensora Health Logo

Ensora Health

AI SDET- Data

Posted 2 Days Ago
In-Office or Remote
37 Locations
Mid level
In-Office or Remote
37 Locations
Mid level
Design and maintain automated tests for backend services, APIs, data pipelines, RAG systems, and AI agents. Validate data correctness, retrieval accuracy, AI behavior, and system reliability. Integrate tests into CI/CD and support performance, scalability, and data-drift detection.
The summary above was generated by AI

Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices.  Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.

Job Description

 

We are seeking a AI Software Development Engineer in Test (SDET) to ensure the quality, reliability, and trustworthiness of AI‑powered applications. This role is automation‑first and focuses heavily on validating AI behavior, verifying data correctness, and ensuring system reliability across backend services, data pipelines, Retrieval‑Augmented Generation (RAG) systems, and AI agents. You will work closely with AI, machine learning, data, and platform engineering teams, with guidance and support from senior quality leadership.

   

What You’ll Do

 
  •  

    Design, build, and maintain robust automated tests for backend services, APIs, and AI‑enabled systems

  •  

    Validate end‑to‑end AI workflows, including data inputs, retrieval logic, and generated outputs

  •  

    Test RAG systems by verifying source data quality, retrieval accuracy, and response correctness

  •  

    Perform data verification to ensure the accuracy of summarized, derived, and feature‑level data used by AI systems

  •  

    Validate AI behavior for consistency, edge cases, regressions, and failure scenarios

  •  

    Identify data anomalies, drift, and pipeline issues impacting AI outputs and collaborate on resolution

  •  

    Integrate automated tests into CI/CD pipelines and contribute to quality metrics and reporting

  •  

    Support performance, reliability, and scalability testing for AI‑driven services

   

What You Bring

 
  •  

    Strong experience as an SDET or Automation Engineer with a focus on backend and service‑level testing

  •  

    Proficiency in test automation using one or more programming languages (TypeScript, Java, C#, or Python)

  •  

    Strong experience with API testing and distributed systems validation

  •  

    Solid understanding of data validation concepts including accuracy, consistency, and completeness

  •  

    Strong SQL skills

  •  

    Hands‑on experience using SQL and/or programmatic checks to validate data used by applications or AI systems

  •  

    Experience integrating automated tests into CI/CD pipelines

  •  

    Ability to translate requirements and expected AI behavior into reliable, repeatable automated tests

   

Nice to Have

 
  •  

    Experience testing AI/ML systems, RAG pipelines, or LLM‑based applications

  •  

    Familiarity with testing non‑deterministic systems and defining effective test oracles

  •  

    Experience validating data drift, model regressions, or AI behavior changes over time

  •  

    Familiarity with Playwright, Postman, or similar testing frameworks

  •  

    Experience working with data‑intensive platforms or analytics systems

  •  

    Background in healthcare or other regulated environments

  •  

    Interest in leveraging AI‑assisted testing techniques to improve coverage and efficiency

Additional Information

While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria. 

The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate—apply today and let's explore the exciting possibilities together! 

All your information will be kept confidential according to EEO guidelines.

At Ensora Health, Diversity, Equity, Inclusion, and Belonging aren’t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do.

We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community. ​

​We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status. 

Ensora Health is an equal opportunity employer. 

Similar Jobs

An Hour Ago
In-Office or Remote
United States
43K-45K Annually
Entry level
43K-45K Annually
Entry level
Big Data • Information Technology • Software • Analytics • Energy
Provide front-line support for Enverus software via phone, email, and screen share; diagnose and resolve user issues; document requests; educate customers; escalate product defects; collaborate with teams to ensure case flow and high customer satisfaction.
2 Hours Ago
Remote
USA
140K-210K Annually
Senior level
140K-210K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Build and operate an enterprise Databricks lakehouse: design and maintain Bronze and Silver ingestion/transformation pipelines (batch/stream/CDC), implement Unity Catalog and secure platform constructs, create CI/CD for data assets, enforce data classification and quality, and collaborate with domain teams to enable governed data for analytics.
Top Skills: CdcCi/CdDatabricksDatabricks JobsDatabricks WorkflowsDelta LakePysparkSparkSpark SqlSQLStreamingUnity CatalogVersion Control
2 Hours Ago
Remote
USA
120K-180K Annually
Senior level
120K-180K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Own and design the Databricks Gold and enterprise semantic layer: implement governed facts, dimensions, KPIs, and semantic models. Translate business KPI definitions into auditable transformation logic, enforce governance promotion paths, review models for correctness, coach domain teams, and ensure traceability, documentation, and compliance-aware data exposures for BI and self-service analytics.
Top Skills: DatabricksDbtDelta LakePysparkSpark SqlSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account