Senior AI Engineer
Role details
Job location
Tech stack
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