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.
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.

Requirements

10+ years of software engineering, including 7+ years of experience with Public Cloud (AWS, GCP, etc.), 5+ years designing and scaling distributed systems.
5+ years of deep experience in Python and at least one backend language (preferably JavaScript, TypeScript, Java, or Go)
2+ years of proven track record building AI-powered products at scale, including 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.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringPythonJavaScriptTypeScriptJavaGodistributed systemsAI-powered productsMLOpsdata pipelines

Soft Skills

technical ownershipproblem solvingcollaborationcommunicationdecision making