Senior AI Engineer

Aloha Practice Management Inc.
Frisco, United States of America
22 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 150K

Job location

Frisco, United States of America

Tech stack

.NET
API
Artificial Intelligence
Amazon Web Services (AWS)
Automated Storage and Retrieval Systems
Azure
Cloud Computing
Data Mining
Cursor (Graphical User Interface Elements)
Python
PostgreSQL
Microsoft SQL Server
Node.js
Redis
Prometheus
Software Engineering
GitHub Copilot
Large Language Models
Grafana
Multi-Agent Systems
IT Architecture
Reliability of Systems
Kubernetes
Low Latency
HuggingFace
Automation Anywhere
Docker

Job description

We are hiring a Senior AI Engineer to own and scale production AI systems across our platform. This is a hands-on, high-impact role focused on building reliable, performant, and cost-effective AI-powered workflows used daily by healthcare providers, billers, and internal teams.

You will operate at the intersection of product, infrastructure, and data-designing and shipping AI systems end-to-end while helping define our AI architecture, evaluation strategy, and best practices.

What You'll Own

· Design, build, and deploy production AI systems from concept through rollout and iteration

· Lead development of LLM-powered workflows (e.g., claim scrubbing, intake automation, documentation, data extraction, copilots)

· Own system reliability, latency, and cost optimization for AI features in production

· Establish and evolve evaluation frameworks, monitoring, and continuous improvement loops

· Build and standardize reusable AI patterns (prompting, retrieval, agent workflows, safety guardrails)

· Partner cross-functionally with Product, Engineering, and Clinical teams to translate real-world problems into scalable AI solutions

· Contribute to overall AI architecture and technical direction

What Success Looks Like (First 6 Months)

· Ship multiple production AI workflows that improve efficiency in areas like billing, intake, or documentation

· Establish evaluation + monitoring frameworks for LLM-based features

· Improve reliability and reduce manual operational workload through AI automation

· Define and implement best practices for building and deploying AI features at scale

Requirements

Do you have experience in Scalable systems?, · Languages: Python, Node.js, .NET

· AI/LLMs: OpenAI, Azure OpenAI, Anthropic, Bedrock

· Frameworks: RAG, agent orchestration, structured outputs

· Data: SQL Server, Postgres, Redis, vector databases

· Cloud & Infra: Azure, AWS, Docker, Kubernetes

· Observability: OpenTelemetry, Prometheus, Grafana

What You Bring

· 7-10+ years building and shipping production software systems

· Proven experience deploying AI/LLM-powered features into production used by real users

· Strong understanding of system design, performance, and scalability

· Experience working with LLMs, retrieval systems (RAG), or AI agents in production environments

· Familiarity with evaluation, monitoring, and iteration of AI systems

· Ability to balance speed, quality, cost, and reliability in real-world systems

· Strong ownership mindset and ability to operate independently in ambiguous environments

Nice to Have

· Experience in healthcare, RCM, or HIPAA-compliant environments

· Experience building internal AI tooling or developer platforms, * Have you personally built and shipped at least one AI/LLM-powered feature to production (customer-facing or internal)?

  • Have you helped teams ship and operate LLM/AI features and/or improved engineering productivity including reliability/cost guardrails?
  • Have you used the following AI/LLM platforms in production: OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, Hugging Face?
  • How many years of experience do you have with tools such as: GitHub Copilot, Claude Code, Cursor, Kiro, Kilo?
  • This position is based in the Dallas-Frisco area, currently remote but with a hybrid schedule soon requiring 2-3 days per week in-office. Are you able to commit to this schedule?
  • How many years experience do you have building production software systems?
  • Do you have experience with Healthcare or HIPAA?
  • Will you now or in the future require sponsorship for employment visa status?
  • Do you have 7+ years of hands-on software engineering experience building production systems (APIs/services/workflows)?

Work Location: Hybrid remote in Frisco, TX 75033

Benefits & conditions

Pulled from the full job description

  • 401(k) 4% Match
  • 401(k) matching
  • Vision insurance
  • Dental insurance
  • Profit sharing
  • Internet reimbursement, · 70% employer-covered health, dental, and vision

· 401(k) with 4% match

· Cell & internet stipend

· Profit sharing

Pay: $120,000.00 - $150,000.00 per year

About the company

Aloha Practice Management is a fast-growing healthcare technology platform serving ABA organizations nationwide. We deliver end-to-end Practice Management, Revenue Cycle Management (RCM), and AI-powered automation across clinical, operational, and financial workflows. As we scale, AI is becoming foundational to our platform-from automating billing and documentation to powering intelligent workflows across the product. We are investing heavily in production-grade AI systems that deliver real, measurable impact for providers.

Apply for this position