Full Stack Developer (Backend & DevOps)

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

Primary (Backend & Infrastructure — 70%)

• 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

• 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)

• 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

• Python:

Python 3.12+, async/await, type hints

Modern Python patterns

• Web Frameworks:

FastAPI, Pydantic v2

SQLAlchemy 2.x with async

Dependency injection

• Databases:

PostgreSQL 16+ (advanced SQL, pgvector)

Redis Stack 7.x (cache, streams, vector search)

• Workflow/Queues:

Temporal, Inngest, or Celery

Event-driven patterns

• AI/LLM Integration:

Claude/OpenAI API integration

Structured outputs, tool calling, streaming

• DevOps:

Docker, CI/CD (GitHub Actions)

Linux, basic Kubernetes

• 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

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)