• Build and deploy AI-powered voice and messaging agents for healthcare and life sciences clients, end-to-end. • Translate client workflows into real agent workflow design. • Run technical sessions with clients' clinical, IT, and ops teams; converting needs into prompts, tools, retrieval shapes, and vector stores. • Integrate with client data systems including CRMs, EHR/EMR platforms, specialty pharmacy systems, claims, and Rx data feeds and build the ingestion pipelines to support them. • Write the production stack in TypeScript - agent runtime, routing, orchestration, evals; help build out the ML side in Python (training, embeddings, model registry); compose declarative guardrails & integrations within workflows. • Engineer within HIPAA constraints: real-time API access to PHI (never stored at rest), de-identification pipelines, US-only data residency, encrypted recordings. • Design and maintain databases (relational and caching layers) that support both real-time agent operations and compliance audit trails. • Implement output guardrails ensuring agents remain informational and compliant with healthcare regulatory requirements. • Codify per-client configuration patterns into reusable components so each new client onboards faster than the last. • Collaborate with product, account management, and platform engineering to translate field learnings into platform improvements.

• Develop application in PowerApps using Dataverse, Power Automate, Excel, Forms and SharePoint online. • Use multiple Out-of-The-Box connectors with Power Apps, Power Automate. • Develop and deploy Microsoft Copilot Studio solutions that integrate seamlessly with Teams, Microsoft 365, Power Platform (Power BI, Power Automate, Power Apps), and other enterprise systems. • Build and run AI-assisted solutions using Claude locally — outside of the Microsoft 365 environment — for development, prototyping, and automation, while keeping data handling compliant with organizational and client controls. • Incorporate adaptive cards, variables, triggers, connectors, and API integrations into Copilot Studio solutions to maximize functionality. • Collaborate in prompt engineering: crafting effective prompts, skills, and grounding/context strategies across both Copilot and Claude (and related tools). • Participate in solution testing, validation, and quality assurance Technical feasibility analysis, solution design documentation, and user guides. • Ensure solutions comply with Microsoft security, compliance, and governance standards, including Entra ID (Azure AD), Microsoft Purview, and DLP (Data Loss Prevention) policies. • Apply strict data-control practices to all AI tooling — including locally-run models such as Claude — ensuring sensitive and regulated data is handled, stored, and transmitted in accordance with policy. • Mentor teammates, provide technical guidance, and handle escalated issues from deployed solutions.

GC AI is the fastest-growing and most trusted legal AI platform for in-house legal teams. We're building the future of legal work, and we're doing it fast. You'll join at a pivotal moment—when decisions matter, impact is immediate, and the runway to shape your career is wide open. We’re a high-performing team where you'll have real ownership and influence from day one. More than 1,500 companies use GC AI to drive their business forward, including 150+ public companies, 25+ unicorns, and brands such as News Corp, Miro, Bass Pro Shops, Snyk, Skims, Liquid Death, Vercel, Zscaler, and TIME. We've 10x'd revenue in 12 months, raised a $60 million Series B ($555 million valuation), and are growing faster than ever. We are backed by incredible investors, including Scale Venture Partners, Northzone, Sound Ventures, and Guillermo Rauch, CEO of Vercel. If you thrive when the stakes are high and the path isn't paved, you'll love it here. Our six guiding principles are: 1% better every day, customer obsession, ship today, find a way, care deeply, and own it completely. Come shape the future of legal work with us. LocationWe are hiring for this role to be based in the United States or Canada. This is a remote role unless you fall within the following parameters. If you live within approximately 50 miles of our San Mateo, CA or Provo, UT office, the position follows a hybrid schedule with in-office days on Tuesdays, Wednesdays, and Thursdays. About The RoleWe're seeking an exceptional AI Engineer to help lead the development of our cutting-edge AI platform. This is a unique opportunity to shape how artificial intelligence transforms legal work. You'll be the technical cornerstone of our AI initiatives, working directly with our CTO (ex-Replit) and founding data engineer (ex-Lyft, Instagram and Plaid) to architect systems that push the boundaries of what's possible with LLMs in the legal domain. Why This Role MattersWe're at a pivotal moment in legal technology, where AI can fundamentally transform how legal work gets done. As our AI Engineer, you'll be the architect of systems that make this transformation possible. Your work will define not just how our platform evolves, but how an entire industry adapts to and leverages AI. This is a chance to solve novel technical challenges while having a real impact on how legal professionals work. What You'll Do - Architect and drive our core AI/LLM infrastructure and features from conception to production. - Design and implement AI systems that handle complex legal reasoning and document analysis. - Lead the evaluation and integration of LLM capabilities and AI tools. - Establish best practices for AI development, and reliability. - Build frameworks for rapid prototyping and validation of AI features. - Guide and mentor our growing team of AI engineers. - Shape our technical strategy and roadmap alongside senior leadership. Impact You'll Have - Design and run rigorous legal-grade evals that harden model choices, prompts, and retrieval for accuracy and explainability. - Improve real-world outcomes (precision, recall, latency) by advancing RAG, structured reasoning, and tool-use pipelines. - Translate domain insights into AI-powered product features that users immediately feel - better answers, fewer edits. - Help build the leading legal AI platform for in-house teams. Required Experience - 5+ years of software engineering experience, with 2+ years focused on AI systems. - Deep expertise in LLM implementation and optimization. - Strong track record of building production AI systems at scale. - Experience with modern AI frameworks and tools. - Proven ability to lead technical initiatives and mentor engineers. - Strong foundation in TypeScript and modern software architecture. Nice to Have - Experience with RAG systems and LLM evaluation. - Familiarity with legal domain or legal text processing. - Track record of technical publications or open-source contributions. - Experience with multi-agent AI systems. The Mindset - Problem Solver: You come alive tackling complex challenges without obvious solutions. - Ownership-Driven: You take initiative without needing direction and focus on outcomes. - Continuous Learner: Your curiosity drives you to constantly level up your engineering skills. - Startup DNA: You thrive in fast-paced environments where responsibilities evolve. What We Offer Growth & Impact - Shape the future of a rapidly growing startup - Direct collaboration with founding team - Real influence on company strategy and direction - A voice that matters - your ideas will be heard and implemented Environment & Benefits - Competitive salary, equity and healthcare - We’re a hybrid company — many roles are remote-friendly, while some teams require meeting in person a couple of days a week in the Bay Area office. - High-energy, joyful team environment Career Development - Mentorship and learning opportunities - Clear path for growth in an expanding company - Exposure to cutting-edge technologies and practices - Freedom to innovate and own crucial systems A Note On PaceWe’re building something new in a once-in-a-generation shift in technology and the legal industry, so we move at a relentless pace. We expect urgency, ownership, and good judgment even when things aren’t perfectly clear. If you need structure and consensus to do your best work, this isn’t the right place for you. If you thrive in ambiguity and growth, work with intensity, and want real responsibility, keep reading. We’re excited to meet you. CompensationGC AI's compensation package includes a competitive base salary benchmarked against real-time market data, as well as meaningful equity and excellent benefits for all full-time roles. Our US-based compensation range for this role is $165,000 – $350,000. This range spans four levels, from mid-level to Principal. Final compensation will vary based on leveling, market conditions, geographic location, and candidate qualifications, including relevant knowledge, skills, and experience assessed during the interview process. These compensation bands are just the starting point. After someone joins and proves they’re an exceptional performer, we adjust quickly to ensure their compensation aligns with their impact. Equal Opportunity EmploymentGC AI is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity/expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. GC AI is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. #LI-GCAI Fraud Notice to GC AI ApplicantsTo protect yourself against phishing and recruitment fraud, please note that GC AI only accepts job applications through our official careers page at https://gc.ai/careers and through sponsored jobs on LinkedIn. All legitimate communication from our team regarding job opportunities will come from a GC AI team member with a @gc.ai or @getgc.ai email address. GC AI will never: - Refer you to external websites to apply - Conduct interviews over email, chat platforms, or messaging apps - Ask you to provide payment or purchase equipment - Request personal or financial information such as your mailing address, social security number, credit card numbers, or banking information during the application process Examples of fraudulent email addresses: - info.gcai.careers.com@gmail.com - info.gc.aicareers.online.com@gmail.com - Any email address ending in @gmail.com, @yahoo.com, or other free email services If you are contacted by someone claiming to be from GC AI via an unofficial channel or from a suspicious email address, please do not share any information. Mark the communication as "phishing" or "spam" and do not respond.

• End-to-end full-stack delivery • You build features yourself from Postgres to the UI • Python for services and simulation, TypeScript/React for our web apps, GraphQL/REST in between • AI engineering • Platform architecture • Technical discussion partner on equal footing • Fresh perspective