AlohaABA

Location: Dallas area (Hybrid)

About Aloha Practice Management

Aloha Practice Management is one of the fastest-growing healthcare technology platforms in the ABA industry, delivering end-to-end Practice Management, RCM, and AI-powered clinical and operational automation. As we scale, AI-driven product experiences, agentic workflows, and AI-powered RCM automations will become foundational to how we support providers, accelerate billing, and allow clinicians to spend more time with clients.

We are hiring a Senior AI Engineer to own and accelerate AI capabilities across the platform — from customer-facing features to internal agentic workflows and production-grade AIOps. This is a high-impact, hands-on role where you will shape the next generation of Aloha’s AI systems and directly influence customer experience, product velocity, and operational efficiency.

The Opportunity

You will lead development across three core pillars:

• AI Product Engineering – Ship core AI-powered features — intake, scheduling, session notes, billing automation, and more.
• AI Foundations / Enablement – Build reusable primitives, evaluation tooling, and golden paths.
• Agentic Workflows & AIOps – Create AI agents that automate operational work and support internal operations.

What You’ll Do

AI Product Engineering (Customer-Facing Features)

• Build AI features end-to-end: requirements → design → implementation → rollout → evaluation.
• Implement LLM-backed workflows including summaries, extraction, structured output, copilots, billing scrubbing, and guided automation.
• Collaborate across Product, Design, QA, and Clinical SMEs.
• Own AI-powered improvements across: RCM, scheduling, intake, documentation, reporting, customer support automation.

AI Foundations / Enablement

• Create reusable AI primitives: prompt templates, agent patterns, tool schemas, safety guardrails, retrieval modules.
• Build evaluation harnesses and continuous regression testing.
• Enable developer productivity via AI coding tools and best practices.
• Establish “golden paths” for consistent and safe AI feature delivery.

Agentic Workflows & AIOps

• Develop in-platform agents for billing checks, eligibility validation, claim scrubbing, data cleanup, workflow routing, and anomaly detection.
• Build AIOps capabilities: incident summaries, RCA suggestions, intelligent alerts, correlation.
• Integrate with telemetry systems for intelligent operations.

LLMOps / Production-Ready AI

• Implement monitoring, cost governance, retries, fallbacks, and safe-mode behavior.
• Own prompt/model evaluation frameworks and online QA metrics.
• Ensure HIPAA-aligned data flows: privacy controls, redaction, audit logs, PHI boundaries.

Data & Infrastructure

• Build vector stores, embeddings, retrieval workflows, and knowledge bases.
• Partner with data engineering for eval datasets and rulesets.
• Contribute to scalable infrastructure for AI agents and async workflows.

Tech Stack

• AI Platforms: Azure OpenAI, OpenAI, Anthropic, Bedrock
• Frameworks: RAG, agents, orchestration
• Backend: .NET, Node.js, Python
• Data: SQL Server, Postgres, Redis, vector databases
• Observability: Grafana, Loki, Prometheus, OpenTelemetry
• Cloud: Azure, AWS, Docker, Kubernetes
• AI Dev Tools: Copilot, Claude Code, Cursor, Kiro

What You Bring

• 5–10+ years building production software systems.
• Hands-on experience delivering LLM-powered features or AI agents.
• Strong engineering fundamentals.
• Experience with LLMOps, safety, monitoring, evaluation.
• Strong cross-functional communication.
• Healthcare / HIPAA experience a plus.

Benefits

• 70% employer-covered health/dental/vision
• 401(k) with 4% match
• Cell/Internet stipend
• Profit sharing

Why Join Aloha?

You will build the automation and AI layers powering one of the fastest-growing platforms in ABA healthcare. You’ll own meaningful systems end-to-end and help define the AI architecture that supports thousands of providers, billers, and clinicians nationwide.

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)?
• Do you have 5+ years of hands-on software engineering experience building production systems (APIs/services/workflows)?
• 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?

Work Location: Hybrid remote in Frisco, TX 75033