Software Engineer, AI & Data
About CrowdHealth:
CrowdHealth is helping Members live boldly without the fear and stress related to health care bills. No doctor networks. No huge monthly premiums. No annual deductibles. No surprises. We’re a community-powered alternative to health insurance, enabling individuals to access and fund healthcare with transparency, simplicity, and control.
The Role
We're hiring a mid-level software engineer with strong TypeScript and Python, data engineering and applied LLM skills. You'll build backend services, data pipelines and LLM-powered features, then own them in production. This role suits a generalist who is comfortable moving between these areas and wants to go deep in at least one.What You’ll Do
• Build and maintain TypeScript and Python backend services and REST APIs. • Design batch data pipelines with orchestration, tests and data quality checks. • Build LLM features end to end: prompts, retrieval, structured outputs and evaluation, tracking accuracy, latency and cost. • Turn scanned documents into structured data using OCR and LLMs. • Containerize, deploy and monitor services in the cloud, and share on-call [rotation details]. • Write tests, review code and document what you build. • Work with product, operations and data partners to scope work and ship in small, frequent increments.What We’re Looking For
• 3 to 5 years of professional software engineering experience, or equivalent. • Production experience with the Required technologies in the tech stack above. • Has shipped at least one LLM-powered feature to real users, with a way to measure its quality. • Clear written communication, including explaining technical tradeoffs to non engineers.Nice to Have
- Experience with an AI-driven SDLC: using coding agents and assistants (e.g., Claude Code, Cursor or GitHub Copilot) across planning, coding, testing and code review.
- Experience handling sensitive data (PII, financial or health records) under compliance programs like SOC 2.
- Small-team experience owning systems end to end, from design through on-call.
Technology Stack
Strength in the required technologies matters most. Nice-to-have technologies are a plus, not a filter.
Required
-
Languages: TypeScript and Python (strong), SQL (solid)
-
Backend and APIs: REST APIs in Node.js or Python (e.g., Express, NestJS, FastAPI or Django); background jobs and queues
-
Cloud and infrastructure: AWS, GCP or Azure; Docker; CI/CD
-
Data engineering: Batch pipelines with Airflow, Dagster or dbt; data quality testing
-
Applied AI and LLMs: LLM APIs (OpenAI, Anthropic or similar); prompt design; measuring output quality
-
Observability: Logging, metrics and alerting for production services
Nice to Have
-
Backend and APIs: Event-driven systems (Kafka, SQS or Pub/Sub)
-
Cloud and infrastructure: Kubernetes, Terraform, Pulumi
-
Data engineering: Snowflake, BigQuery or Redshift; Metabase
-
Applied AI and LLMs: RAG and vector search (pgvector, Pinecone); OCR and document AI (Textract, Google Document AI, Azure Document Intelligence)
-
Observability: Sentry, PostHog or Datadog
What We Offer
- Annual Salary of $120,000
- Equity
- CrowdHealth Membership Allowance
- Remote flexibility
- 12 weeks paid maternity/paternity leave
- No cap on paid time off
The Role
We're hiring a mid-level software engineer with strong TypeScript and Python, data engineering and applied LLM skills. You'll build backend services, data pipelines and LLM-powered features, then own them in production. This role suits a generalist who is comfortable moving between these areas and wants to go deep in at least one.What You’ll Do
• Build and maintain TypeScript and Python backend services and REST APIs. • Design batch data pipelines with orchestration, tests and data quality checks. • Build LLM features end to end: prompts, retrieval, structured outputs and evaluation, tracking accuracy, latency and cost. • Turn scanned documents into structured data using OCR and LLMs. • Containerize, deploy and monitor services in the cloud, and share on-call [rotation details]. • Write tests, review code and document what you build. • Work with product, operations and data partners to scope work and ship in small, frequent increments.What We’re Looking For
• 3 to 5 years of professional software engineering experience, or equivalent. • Production experience with the Required technologies in the tech stack above. • Has shipped at least one LLM-powered feature to real users, with a way to measure its quality. • Clear written communication, including explaining technical tradeoffs to non engineers.Nice to Have
- Experience with an AI-driven SDLC: using coding agents and assistants (e.g., Claude Code, Cursor or GitHub Copilot) across planning, coding, testing and code review.
- Experience handling sensitive data (PII, financial or health records) under compliance programs like SOC 2.
- Small-team experience owning systems end to end, from design through on-call.
Technology Stack
Strength in the required technologies matters most. Nice-to-have technologies are a plus, not a filter.
Required
-
Languages: TypeScript and Python (strong), SQL (solid)
-
Backend and APIs: REST APIs in Node.js or Python (e.g., Express, NestJS, FastAPI or Django); background jobs and queues
-
Cloud and infrastructure: AWS, GCP or Azure; Docker; CI/CD
-
Data engineering: Batch pipelines with Airflow, Dagster or dbt; data quality testing
-
Applied AI and LLMs: LLM APIs (OpenAI, Anthropic or similar); prompt design; measuring output quality
-
Observability: Logging, metrics and alerting for production services
Nice to Have
-
Backend and APIs: Event-driven systems (Kafka, SQS or Pub/Sub)
-
Cloud and infrastructure: Kubernetes, Terraform, Pulumi
-
Data engineering: Snowflake, BigQuery or Redshift; Metabase
-
Applied AI and LLMs: RAG and vector search (pgvector, Pinecone); OCR and document AI (Textract, Google Document AI, Azure Document Intelligence)
-
Observability: Sentry, PostHog or Datadog
What We Offer
- Annual Salary of $120,000
- Equity
- CrowdHealth Membership Allowance
- Remote flexibility
- 12 weeks paid maternity/paternity leave
- No cap on paid time off
Join Us
If you’re excited by the idea of joining a company that’s rewriting the rules of healthcare, focused on legit loving people, and helping people exit a broken system, we’d love to talk.
We are currently accepting applications from candidates in any state other than New York, California, New Jersey, and Rhode Island.
3-5 years professional software engineering experience; production experience with TypeScript, Python, SQL, REST APIs, cloud (AWS/GCP/Azure), Docker, CI/CD, data pipelines (Airflow/Dagster/dbt), LLM APIs, and observability; shipped at least one LLM feature.
Key Responsibilities
- building backend services
- designing data pipelines
- developing LLM features
Skills & Tools
TypeScript, Python, SQL, Node.js, Express, NestJS, FastAPI, Django, AWS, GCP, Azure, Docker, CI/CD, Airflow, Dagster, dbt, OpenAI, Anthropic, Kafka, SQS, Pub/Sub, Kubernetes, Terraform, Pulumi, Snowflake, BigQuery, Redshift, Metabase, pgvector, Pinecone, Textract, Google Document AI, Azure Document Intelligence, Sentry, PostHog, Datadog, Claude Code, Cursor, GitHub Copilot
Job Details
- Category: Software Development
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — United States
- Salary: USD 120,000 – 120,000 / year
- Languages: English
Benefits
- Generous paid time off
- Generous parental leave
About CrowdHealth
A community-powered alternative to health insurance, enabling individuals to access and fund healthcare with transparency, simplicity, and control. — Industry: Healthcare