Senior AI Engineer

About Aloha Practice Management 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. The Role 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 Tech Environment

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 Why This Role
• Own and shape AI systems in production , not just experiments
• Work with real-world, high-impact data and workflows in healthcare operations
• Build automation that directly improves efficiency for providers and billers
• Help define the AI architecture and roadmap for a rapidly scaling platform Benefits
• 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 Application Question(s): 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 Senior AI Engineer Frisco, TX 75033 Hybrid work $120,000

• $150,000 a year
• Full-time $120,000
• $150,000 a year
• Full-time About Aloha Practice Management 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. The Role 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 Tech Environment

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 Why This Role
• Own and shape AI systems in production , not just experiments
• Work with real-world, high-impact data and workflows in healthcare operations
• Build automation that directly improves efficiency for providers and billers
• Help define the AI architecture and roadmap for a rapidly scaling platform Benefits
• 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 Application Question(s): 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