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Tebra

Staff Software Engineer, AI Engineering

Tebra · Heredia, Heredia, Costa Rica

Posted about 3 months ago

or apply directly on Tebra's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Tebra's roles stay open a median of 82 days
Reposted
No
Salary listed
No
0% of Tebra's roles list one
Ghost-job risk at Tebra
high
25 stale, 1 reposted of 25 open
Hiring momentum
35 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Tebra's own greenhouse board since 2026-08-03. Full hiring picture for Tebra.

About this role

The Staff Software Engineer for AI Engineering will lead the design and development of AI-native capabilities within Tebra's billing and revenue cycle platform. This role involves integrating AI technologies, such as Large Language Models, into backend services and workflows to enhance operational efficiency. The engineer will also collaborate with cross-functional teams to architect scalable solutions and mentor junior engineers while ensuring adherence to best practices in software development.

Our read on this posting2.6out of 5
benefits
2/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Tebra as an employer.

What you need

  • 8+ years of professional software engineering experience building scalable distributed systems
  • Absolute mastery of Java, Spring Boot, and Python for developing secure, high-throughput, cloud-native backend systems
  • 2–3+ years of hands-on experience designing, shipping, and maintaining production AI-enabled or AI-native applications
  • Practical experience with orchestration frameworks and a deep understanding of RAG, tool calling, prompt engineering, context/state management, and human-in-the-loop patterns
  • Strong background in distributed systems, event-driven architectures, asynchronous processing, and messaging platforms
  • Proven experience implementing enterprise AI guardrails, including real-time observability, latency/cost monitoring, automated evaluation pipelines, and robust fallback mechanisms

Nice to have

  • Experience building autonomous, multi-step agentic systems utilizing multi-tier memory networks and recursive reasoning
  • Prior background in Healthcare IT, Revenue Cycle Management, billing, claims processing, fintech, or similarly regulated, high-compliance transaction environments
  • Hands-on experience with vector databases, semantic search architectures, and enterprise knowledge graph construction
  • Exposure to PyTorch, Hugging Face Transformers, custom embedding models, fine-tuning methodologies, or model serving optimization
  • Past experience serving as a Founding Engineer, Principal Architect, or early-stage platform lead driving organization-wide AI/ML adoption frameworks

What you get

  • Wellness and childcare subsidy
  • University/Education discount
  • Access to health and fitness apps through Gympass
  • Mental health resources through Telus Employee Assistance Program

Worth weighing

  • No salary listed
  • Role requires a combination of technical leadership and hands-on implementation
  • Expectations for mentoring junior engineers may require additional time commitment

Summarised from Tebra's posting. Read the full original.

Listed by Tebra on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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