Sr. Staff AI Engineer (Remote)
About The Position
At Rula, this role owns the AI foundation that determines how, and how well, AI shows up across mental healthcare. The focus isn’t on prototypes or isolated features, but on building durable, production-grade generative AI systems that directly power patient engagement, provider workflows, and clinical operations at scale. You’ll operate where architecture, applied research, and real-world constraints meet. The work includes designing core AI platforms, setting technical standards for safety, reliability, and performance, and making principal decisions about how advanced AI is introduced into a regulated, high-stakes care environment. The goal is simple but hard: make AI genuinely useful in clinical contexts, without compromising trust or outcomes. This is a deeply hands-on role with real technical ownership. You’ll define system architecture, unblock complex engineering problems, and act as a technical multiplier for other engineers working across product surfaces. Success here means creating foundations that others can build on confidently and that hold up under scale, scrutiny, and real patient impact. The opportunity is less about chasing the frontier for its own sake and more about shaping how AI responsibly becomes part of everyday mental healthcare, setting direction not just for what we build next, but for how AI evolves inside the care ecosystem over time.
Requirements
- 10+ years of software engineering
- 7+ years of experience with Public Cloud (AWS, GCP, etc.)
- 5+ years designing and scaling distributed systems
- 5+ years of deep experience in Python
- Experience with at least one backend language (preferably JavaScript, TypeScript, Java, or Go)
- 2+ years of proven track record building AI-powered products at scale
- Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.)
- 2+ years of strong experience in LLM integration patterns (RAG, function calling, agents, memory routing, etc.), or AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), or vector databases (eg. Pinecone, Weaviate, FAISS, Milvus)
- 3+ years in working with MLOps, data pipelines, evaluation, and observability systems for continuous model improvement
Nice To Haves
- Experience architecting secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)
- Familiarity with human-in-the-loop systems and clinical decision support frameworks
- Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability
- Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety
- Experience contributing to early-stage team growth (0 → 1)
- Experience leading or mentoring engineering teams in AI, ML platform, or applied research domains
Responsibilities
- Designing core AI platforms
- Setting technical standards for safety, reliability, and performance
- Making principal decisions about how advanced AI is introduced into a regulated, high-stakes care environment
- Defining system architecture
- Unblocking complex engineering problems
- Acting as a technical multiplier for other engineers working across product surfaces
- Creating foundations that others can build on confidently and that hold up under scale, scrutiny, and real patient impact
- Shaping how AI responsibly becomes part of everyday mental healthcare
- Setting direction for how AI evolves inside the care ecosystem over time
Benefits
- 100% remote work environment
- Working hours to support a healthy work-life balance
- Attractive pay and benefits with full transparency of pay ranges
- Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
- 401(k) plan access
- Generous time-off policies, including 2 company-wide shutdown weeks each year for self-care
- Paid parental leave for all parents
- Employee Assistance Program (EAP)
- New hire home office stipend
- Quarterly department stipend for team-building activities or gatherings
- Wellness events and lunch & learns
- Community and employee resource groups
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
