$242,000 – $303,000
Listed on Rula’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A senior staff role building production-grade AI systems that power patient engagement and clinical operations at a mental health company. This suits experienced engineers comfortable with the architectural decisions, safety trade-offs, and regulatory constraints of deploying AI in high-stakes healthcare settings.
Our summary, not Rula’s wording. The full posting is on their site.
Skills this role names
- Amazon Bedrock
- Amazon Web Services (AWS)
- Gemini
- Generative AI Agents
- Go
- Java
- JavaScript
- LangChain
- LlamaIndex
- Milvus
- MLOps
- OpenAI
- Pinecone
- Python
- Retrieval-Augmented Generation (RAG)
- TypeScript
- Weaviate
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What they ask for
Required
- 10+ years software engineering experience
- 7+ years with public cloud platforms (AWS, GCP, etc.)
- 5+ years designing and scaling distributed systems
- 5+ years deep experience in Python
- 1+ backend language (JavaScript, TypeScript, Java, or Go)
- 2+ years building AI-powered products at scale
- 2+ years hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini)
- 2+ years with LLM integration patterns (RAG, function calling, agents, memory routing) or AI orchestration frameworks (LangChain, LlamaIndex, DSPy, Haystack) or vector databases (Pinecone, Weaviate, FAISS, Milvus)
- 3+ years with MLOps, data pipelines, evaluation, and observability systems
Nice to have
- Experience architecting secure AI solutions in regulated environments (HIPAA, GDPR)
- Familiarity with human-in-the-loop systems and clinical decision support frameworks
- Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability
- Open-source AI framework contributions or applied research in NLP, healthcare AI, or GenAI safety
- Experience growing early-stage teams from inception
- Experience leading or mentoring engineering teams in AI, ML platform, or applied research