Senior Python Engineer (Healthcare)

About nymble nymble health is a Canadian digital health company delivering automated behavioral support for metabolic health over SMS, WhatsApp, and API - no app required. We operate in Canada, Ireland, Germany, and the US, supporting pharma patient support programs, virtual care providers, pharmacies, and direct-to-consumer patients. We're physician-founded, bootstrapped, and recently won the 2026 American Diabetes Association Innovation Challenge - the first Canadian company to do so. About the role We're bringing on a senior Python engineer on contract from Sept to November to ramp up capacity and provide coverage while some resources are away. There is a real opportunity to extend or convert to a longer-term role for the right person. This is a hands-on role for someone who works fluently with AI coding agents and thrives in a small, high-trust engineering environment. Most important: AI-agent leverage Our development system is built to effectively leverage AI coding agents, and we want a contractor who can push that further, not work around it. • Runs multiple AI coding-agent sessions in parallel using git worktrees • Builds reusable agent playbooks, skills, hooks, and routines • Can work in and evolve a development system that leans heavily on automation (extensive testing, operational harness, etc.) Core technical requirements • Python 3.12, Flask 3.x, SQLAlchemy 2.0 • Postgres (psycopg3) • REST API design, Git / PR-based workflow, CI-gated development, GitHub Actions Specific to our stack • LLM application: OpenAI SDK, structured output, Pinecone for vector search / RAG • Messaging and telephony: Twilio SDK (SMS / WhatsApp), delivery-status webhooks • Azure: Blob Storage, Azure Monitor / OpenTelemetry • Infra-as-code: OpenTofu / Terraform-style modules spanning servers, customer config, Twilio settings, Cloudflare, and alerting Principled engineering • Separation of concerns - business logic independent of how it's triggered and how it's stored • Domain modeling that makes invalid states impossible • Modularity - small, intentional interfaces between modules so one can change without cascading edits • Understands LLM behavior in the app - prompt design, non-determinism, evaluating whether a change made responses better or worse • Secret and credential hygiene - never lets a secret touch a log, commit, or prompt; understands why rotation matters • Docs-as-part-of-the-change - writes down the "why" as they go, not after the fact • Cost-consciousness - aware that LLM calls and cloud infra cost real money per-request • Fast codebase orientation - finds and follows existing conventions quickly rather than guessing or reinventing Nice to have • Prior experience in PHI, PII, or similarly regulated environments (healthcare, fintech, insurance) • On-call and incident-response experience on a small team • Familiarity with Nix To apply Send a short note and a link to your GitHub, portfolio, or relevant work to [email protected]. We're moving quickly - candidates will be reviewed on a rolling basis and we're aiming to have someone onboarded by the end of August.

The role involves ramping up development capacity and providing coverage for a digital health company. The engineer will leverage AI coding agents to build automated behavioral support systems and evolve the development harness.

Requires a senior Python engineer proficient in Flask, SQLAlchemy, and Azure, with specific expertise in LLM applications and RAG. Candidates must be comfortable using AI coding agents and following principled engineering practices like separation of concerns.

• CI/CDPreferred
• PostgreSQLPreferred
• TerraformPreferred

Identified from the job description. Confirm important requirements above.

• Python 3.12
• Flask 3.x
• SQLAlchemy 2.0
• Postgres
• REST API Design
• GitHub Actions
• OpenAI SDK
• Pinecone
• Twilio SDK
• Azure Blob Storage
• OpenTofu
• Terraform
• RAG
• Prompt Design
• CI/CD
• Domain Modeling

• Software
• Healthcare
• Technology
• Engineering
• Data & Analytics

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available