Senior Staff AI Engineer

findhelpMadison, WI
Hybrid

About The Position

At findhelp, we believe everyone deserves access to the help they need, with dignity and ease. As a Senior Staff AI/ML Engineer, you will help shape the future of social care in America through the responsible application of cutting-edge AI. This is more than just a technical position. It’s an opportunity to turn advanced machine learning into real-world impact, improving access to essential services for families, care providers, and entire communities. You’ll lead the development of production-ready AI solutions while laying the foundation for an AI-first culture across Findhelp. Your work will not only define our company-wide AI strategy but also leave a lasting legacy on how millions experience care.

Requirements

  • Master’s degree (or higher) in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related technical field.
  • 5 - 8 years of experience building production-ready AI/ML solutions optimized for performance, scalability, and responsible AI principles.
  • Hands-on experience with large language models (LLMs), including open-source and commercial offerings, and advanced prompt engineering.
  • Expertise in model optimization techniques such as retrieval-augmented generation (RAG), fine-tuning, reinforcement learning, and pre-training.
  • Strong background in NLP, supervised learning, and deep learning, with a record of deploying impactful AI/ML solutions at scale.
  • Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, and Huggingface.
  • Experience deploying AI/ML systems on cloud platforms, ideally GCP, with a strong understanding of performance, scalability, reliability, and maintainability trade-offs.
  • Deep understanding of modern software architecture, engineering best practices, and safeguards needed for scalable and secure AI systems.
  • Working knowledge of modern web development technologies to effectively collaborate with engineering teams and deploy AI solutions in production environments.
  • Demonstrated passion for responsible AI, including principles of fairness, transparency, privacy, ethical use, and explainability.
  • Exceptional communication and collaboration skills, with the ability to align cross-functional teams and drive company-wide impact.
  • Experience building from the ground up in fast-paced, high-growth environments, laying foundations, setting best practices, and scaling both people and technology.
  • Committed to continuous learning, with the ability to stay current on emerging AI technologies and assess new tools, vendors, and architectures as business needs evolve.

Nice To Haves

  • Familiarity with agentic AI patterns, multi-agent systems (including control patterns), and orchestration frameworks (e.g., LangChain, LangGraph) is a strong plus.
  • Familiarity with regulated domains such as healthcare or social care is a plus.

Responsibilities

  • Lead transformative AI initiatives that directly address customer pain points, improve access to social care, and instill an AI-first mindset across the organization.
  • Partner with internal and external stakeholders to identify opportunities for scalable AI adoption.
  • Act as a force multiplier by building production-ready AI/ML solutions that deliver measurable value to our users, and then mentoring teams across the company to independently explore and implement AI solutions.
  • Define and build scalable AI/ML infrastructure and tools that enable rapid experimentation, streamline development, and reduce barriers to company-wide AI innovation.
  • Establish and enforce responsible AI guidelines ensuring fairness, transparency, privacy, security, and explainability in everything we deploy.
  • Collaborate with external vendors and research partners to evaluate tools, models, and technologies that meet evolving business needs.
  • Support go-to-market efforts by working with analytics, and sales teams to communicate the impact and ROI of AI-powered features.
  • Translate emerging AI trends into actionable strategy, architectural guidance, and internal enablement to keep findhelp at the forefront of innovation in social care technology.

Benefits

  • 401k & equity grants
  • Free food and onsite gym at our Austin HQ
  • Paid parental leave
  • Competitive PTO & 10 paid holidays
  • Comprehensive Medical, Dental, and Vision insurance with 100% company-paid coverage for employee only coverage
  • Dog-friendly office in Austin HQ
  • 24/7 access to telemedicine and counseling
  • Book Purchasing Program
  • Culture Committee
  • Leadership Development Training
  • Paid Volunteering Time
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