Senior AI Engineer

Findhelp is a mission‑driven organization building a comprehensive platform to connect people to social care resources.

At Findhelp, we believe everyone deserves access to help with dignity and ease.

As a Senior Staff AI/ML Engineer, you will shape the future of social care in America through cutting‑edge AI, turning advanced machine learning into real‑world impact.

• Lead transformative AI initiatives that directly address customer pain points 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 users, then mentor 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.

• Master’s degree (or higher) in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related technical field.
• 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.
• Familiarity with agentic AI patterns, multi‑agent systems (including control patterns), and orchestration frameworks (e.g., Lang Chain, Lang Graph) is a strong plus.
• 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, Tensor Flow, 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.
• Familiarity with regulated domains such as healthcare or social care is a plus.
• 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.

Salary range: $155,200 – $232,800 a year

• 401(k) & Stock options
• Free food and onsite gym at our Austin HQ
• Paid parental leave
• Competitive PTO & 9 paid holidays
• Employee‑only paid Health, Dental, and Vision insurance
• Dog‑friendly office in Austin HQ
• 24/7 access to telemedicine and counseling
• Book Purchasing Program

Location:

This position is in office and candidates must be located in Austin, Texas, Madison, Wisconsin, or Denver, Colorado.

We believe being together enables stronger…