About 2070Health2070Health is a healthcare venture studio building the future of health technology. We incubate, build, and scale multiple portfolio companies that leverage AI to transform healthcare delivery, talent management, and patient outcomes.Our portfolio includes products like Xponentiate (AI-powered recruitment platform) and the 2070 Agentic Platform (AI workflow orchestration engine with 8 LangGraph agents). We're a lean, fast-moving team where engineers work across multiple products, ship frequently, and directly impact millions of lives.Role OverviewWe're looking for a Backend & DevOps-heavy Fullstack Engineer who can architect, build, and operate scalable AI-powered systems. You'll own backend services, data pipelines, and cloud infrastructure while being comfortable contributing to frontend when needed.This role is ideal for someone who:Loves building robust, scalable backend systemsIs excited about AI/ML infrastructure and LLM orchestrationHas strong DevOps instincts (automate everything, infrastructure as code)Can context-switch between multiple products and tech stacksResponsibilitiesPrimary (Backend & Infrastructure — 70%)1. Backend Development:Design and build async APIs using Python 3.12+ and FastAPI with Pydantic v2Implement complex business logic with proper domain modeling and validationBuild event-driven architectures with Redis Streams and message queuesDevelop durable workflow systems using Temporal or InngestIntegrate with LLM providers using structured outputs, tool calling, and streamingBuild and maintain AI agent orchestration pipelines (LangGraph, multi-agent systems)Implement real-time features using WebSockets, Server-Sent Events, and pub/sub2. DevOps & Infrastructure:Design and maintain CI/CD pipelines (GitHub Actions, GitLab CI)Manage containerized deployments using Docker and KubernetesSet up and maintain cloud infrastructure on AWS and/or GCPImplement Infrastructure as Code using OpenTofu/Terraform or PulumiConfigure observability stack (OpenTelemetry, Prometheus, Grafana, Sentry)Manage databases (PostgreSQL with pgvector, MongoDB, Redis Stack) in productionEnsure security best practices (secrets management, IAM, encryption, HIPAA)3. AI & Data Infrastructure:Build data pipelines for AI model inputs and outputsImplement vector search using pgvector or Redis StackSet up embedding pipelines and RAG infrastructureOptimize LLM API costs through intelligent caching, batching, and model routingDeploy and manage AI agents with proper state management and recoverySecondary (Frontend — 30%)Contribute to React 19/Next.js 15 frontend when neededBuild internal tools and admin dashboardsImplement API integrations and data fetching with TanStack QuerySupport frontend team with backend requirements and API designRequirementsMust Have1. Python:Python 3.12+, async/await, type hintsModern Python patterns2. Web Frameworks:FastAPI, Pydantic v2SQLAlchemy 2.x with asyncDependency injection3. Databases:PostgreSQL 16+ (advanced SQL, pgvector)Redis Stack 7.x (cache, streams, vector search)4. Workflow/Queues:Temporal, Inngest, or CeleryEvent-driven patterns5. AI/LLM Integration:Claude/OpenAI API integrationStructured outputs, tool calling, streaming6. DevOps:Docker, CI/CD (GitHub Actions)Linux, basic Kubernetes7. Cloud:AWS (ECS/EKS, RDS, Lambda, S3, SQS) or GCP equivalentGood to haveKubernetes (EKS/GKE), Helm, ArgoCD, GitOps patternsOpenTofu/Terraform, Pulumi, or AWS CDKLangGraph, LlamaIndex, vector databases, RAG pipelines, agent frameworksPipecat, LiveKit, OpenAI Realtime API, WebRTCReact 19, Next.js 15, TypeScript (working knowledge)OpenTelemetry, distributed tracing, Prometheus, GrafanaOAuth2/OIDC, secrets management (Vault, AWS Secrets Manager), HIPAABenefitsWhy join us?Build AI-native backend systems from the ground upOwn infrastructure for multiple products across the portfolioHigh ownership — you'll make critical architectural decisionsWork with cutting-edge AI orchestration (LangGraph, Pipecat, LLM agents)
About 2070Health
2070Health is a healthcare venture studio building the future of health technology. We incubate, build, and scale multiple portfolio companies that leverage AI to transform healthcare delivery, talent management, and patient outcomes.
Our portfolio includes products like Xponentiate (AI-powered recruitment platform) and the 2070 Agentic Platform (AI workflow orchestration engine with 8 LangGraph agents). We're a lean, fast-moving team where engineers work across multiple products, ship frequently, and directly impact millions of lives.
Role Overview
We're looking for a Backend & DevOps-heavy Fullstack Engineer who can architect, build, and operate scalable AI-powered systems. You'll own backend services, data pipelines, and cloud infrastructure while being comfortable contributing to frontend when needed.
This role is ideal for someone who:
- Loves building robust, scalable backend systems
- Is excited about AI/ML infrastructure and LLM orchestration
- Has strong DevOps instincts (automate everything, infrastructure as code)
- Can context-switch between multiple products and tech stacks
Responsibilities
Primary (Backend & Infrastructure — 70%)
1. Backend Development:
- Design and build async APIs using Python 3.12+ and FastAPI with Pydantic v2
- Implement complex business logic with proper domain modeling and validation
- Build event-driven architectures with Redis Streams and message queues
- Develop durable workflow systems using Temporal or Inngest
- Integrate with LLM providers using structured outputs, tool calling, and streaming
- Build and maintain AI agent orchestration pipelines (LangGraph, multi-agent systems)
- Implement real-time features using WebSockets, Server-Sent Events, and pub/sub
2. DevOps & Infrastructure:
- Design and maintain CI/CD pipelines (GitHub Actions, GitLab CI)
- Manage containerized deployments using Docker and Kubernetes
- Set up and maintain cloud infrastructure on AWS and/or GCP
- Implement Infrastructure as Code using OpenTofu/Terraform or Pulumi
- Configure observability stack (OpenTelemetry, Prometheus, Grafana, Sentry)
- Manage databases (PostgreSQL with pgvector, MongoDB, Redis Stack) in production
- Ensure security best practices (secrets management, IAM, encryption, HIPAA)
3. AI & Data Infrastructure:
- Build data pipelines for AI model inputs and outputs
- Implement vector search using pgvector or Redis Stack
- Set up embedding pipelines and RAG infrastructure
- Optimize LLM API costs through intelligent caching, batching, and model routing
- Deploy and manage AI agents with proper state management and recovery
Secondary (Frontend — 30%)
- Contribute to React 19/Next.js 15 frontend when needed
- Build internal tools and admin dashboards
- Implement API integrations and data fetching with TanStack Query
- Support frontend team with backend requirements and API design
Requirements
Must Have
1. Python:
- Python 3.12+, async/await, type hints
- Modern Python patterns
2. Web Frameworks:
- FastAPI, Pydantic v2
- SQLAlchemy 2.x with async
- Dependency injection
3. Databases:
- PostgreSQL 16+ (advanced SQL, pgvector)
- Redis Stack 7.x (cache, streams, vector search)
4. Workflow/Queues:
- Temporal, Inngest, or Celery
- Event-driven patterns
5. AI/LLM Integration:
- Claude/OpenAI API integration
- Structured outputs, tool calling, streaming
6. DevOps:
- Docker, CI/CD (GitHub Actions)
- Linux, basic Kubernetes
7. Cloud:
- AWS (ECS/EKS, RDS, Lambda, S3, SQS) or GCP equivalent
Good to have
- Kubernetes (EKS/GKE), Helm, ArgoCD, GitOps patterns
- OpenTofu/Terraform, Pulumi, or AWS CDK
- LangGraph, LlamaIndex, vector databases, RAG pipelines, agent frameworks
- Pipecat, LiveKit, OpenAI Realtime API, WebRTC
- React 19, Next.js 15, TypeScript (working knowledge)
- OpenTelemetry, distributed tracing, Prometheus, Grafana
- OAuth2/OIDC, secrets management (Vault, AWS Secrets Manager), HIPAA
Benefits
Why join us?
- Build AI-native backend systems from the ground up
- Own infrastructure for multiple products across the portfolio
- High ownership — you'll make critical architectural decisions
- Work with cutting-edge AI orchestration (LangGraph, Pipecat, LLM agents)
