Implementation Engineer

Posted 5 Days Ago
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F L Office, Choudwar, Cuttack, Odisha, IND
In-Office
Junior
Artificial Intelligence • Healthtech • Software • Generative AI
The Role
Own technical onboarding for new hospital customers: environment setup, configuration, data mapping, and integrations with EHRs and clinical systems. Build and debug integrations (HL7, FHIR, APIs), collaborate with hospital IT and product teams, produce implementation docs and runbooks, support post-go-live stabilization, and manage multiple concurrent implementations.
Summary Generated by Built In
About Triomics

Triomics is building AI-powered software to accelerate oncology clinical trials and cancer care. Backed by YC, Lightspeed, Nexus Venture Partners, General Catalyst, and Battery, we work directly with cancer centers and health systems to bring our platform into live clinical workflows. As we scale, getting our product live inside a hospital's tech stack — quickly, correctly, and with minimal disruption to clinicians — is one of the most important jobs in the company. That's where you come in.

About the Role

We're hiring an Implementation Engineer to own the technical side of customer onboarding — configuring our platform, integrating it with hospital systems (EHRs, data warehouses, and other clinical/IT systems), and making sure every new customer goes live smoothly. You'll be the technical point of contact during rollout: partnering with hospital IT/informatics teams, translating their systems and constraints into working integrations, and handing off a stable, well-documented deployment to our customer success team.

This is a hands-on, customer-facing engineering role — part integration engineer, part technical project owner, part first responder when something breaks during go-live.

What You'll Do
  • Own end-to-end technical implementation for new customers: environment setup, configuration, data mapping, and integration with customer systems

  • Build and troubleshoot integrations with hospital/health-system systems — EHRs (Epic, Cerner, etc.), data warehouses, and other third-party systems — using standards like HL7v2, FHIR, C-CDA, and REST/SOAP APIs

  • Work directly with hospital IT, informatics, and clinical operations teams to gather requirements, scope integration effort, and troubleshoot issues during onboarding

  • Debug data and connectivity issues across the stack — API calls, file feeds, authentication, data transformation/mapping — and drive root-cause fixes rather than workarounds

  • Write and maintain clear implementation documentation, runbooks, and reusable playbooks so each new deployment gets faster and more predictable

  • Partner closely with Product and Engineering to flag recurring integration gaps and feed them into the roadmap

  • Support customers post-go-live during the stabilization period, and hand off cleanly to Customer Success/Support once the deployment is steady

  • Manage multiple concurrent implementations, keeping timelines, stakeholders, and technical risks visible

What We're Looking For
  • 1+ years of experience in implementation, integration, or solutions engineering for a SaaS product (B2B/enterprise software preferred)

  • Comfort working directly with technical and non-technical customer stakeholders — you can explain a data mapping issue to an IT admin and a root cause to an engineer

  • Working knowledge of APIs (REST/SOAP), data formats (JSON/XML), and basic scripting (Python/JavaScript or similar) for debugging and light automation

  • Strong ownership mentality — you can take a loosely defined onboarding and drive it to a working, documented outcome

  • Sharp troubleshooting instincts and patience for ambiguous, multi-system problems

  • Clear written and verbal communication skills

Preferred (nice to have, not required):

  • Experience implementing or integrating software with EHR/EMR systems (Epic, Cerner, Athenahealth, Meditech, etc.) or other healthcare IT systems

  • Familiarity with healthcare data/interoperability standards — HL7v2, FHIR, C-CDA, X12

  • Experience working with hospital IT, informatics, or clinical operations teams

  • Prior experience at a health-tech, EHR-adjacent, or clinical software company

Why Join Us?

  • Impact at scale: The systems you build directly power AI workflows that accelerate cancer research and improve patient outcomes globally

  • Cutting-edge problems: Work on complex, data-intensive systems at the intersection of AI, healthcare, and scale

  • World-class team: Collaborate with top talent across AI, engineering, and product with best-in-industry compensation

  • Culture that ships: Fast-paced, ownership-driven environment with company-sponsored workations (Bali, Sri Lanka, Goa, and more)

Perks & Benefits

  • Lunch provided at the office — one less daily decision

  • Flexible working hours — we care about output, not clock-ins

  • Comprehensive health insurance for you and your family

  • Zomato meal benefits for early starts and late nights

Skills Required

  • 1+ years experience in implementation, integration, or solutions engineering for a SaaS product
  • Working knowledge of APIs (REST/SOAP)
  • Familiarity with data formats (JSON/XML)
  • Basic scripting ability (Python, JavaScript, or similar) for debugging and light automation
  • Comfort working directly with technical and non-technical customer stakeholders
  • Strong ownership mentality and ability to drive ambiguous onboarding to documented outcomes
  • Sharp troubleshooting instincts for multi-system problems
  • Clear written and verbal communication skills
  • Experience implementing or integrating with EHR/EMR systems (Epic, Cerner, Athenahealth, Meditech, etc.)
  • Familiarity with healthcare interoperability standards (HL7v2, FHIR, C-CDA, X12)
  • Experience working with hospital IT, informatics, or clinical operations teams
  • Prior experience at a health-tech, EHR-adjacent, or clinical software company
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The Company
76 Employees
Year Founded: 2021

What We Do

Triomics is a generative AI platform built for oncology workflows. It helps academic and community cancer centers transform unstructured medical-record data into point-of-care insights, including clinical-trial screening, pre-charting, and clinical-data curation. Its platform uses AI agents to read longitudinal patient records and produce structured, explainable outputs, enabling care teams, research teams, and health systems to act faster on information already in the chart.

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