Backend Engineer (Python & Node.js)

You must be a U.S. citizen or permanent resident (Green Card holder) to be considered for this role. We are open to providing Green Card sponsorship where appropriate. At this time, we are not able to support H-1B or F-1 (OPT/CPT) visa sponsorship. Remote (US-Based)


About Us - Help Build the Future of Agentic AI


We build AI-native workflows using generative agents in large-scale synthetic teams. We help organizations—from global marketing agencies to publishers, streaming platforms, and nonprofits—make faster, smarter, more human-centered decisions. Our core technology built upon teams of generative agents, powers tools that enable each team to discover insights, evaluate opportunities, and craft winning strategies.


We’re currently developing our flagship products to support both enterprise clients and mission-driven organizations. We’re hiring developers who want to help shape the future of AI-powered user experiences.


The Role - We’re hiring a Backend Engineer to help architect and scale the infrastructure powering our proprietary AI platform.


This is a hands-on, high-impact role for a senior Individual Contributor (IC) who thrives in startup environments and wants to own systems end to end. You’ll be one of two core Engineers, helping build the foundational tech, not just writing code, but designing how everything fits together.


You’ll also work closely with our Data Science and modeling team, to ensure seamless integration of LLMs, embeddings, memory/context systems, and RAG pipelines — turning research into production-grade systems.


Experiences we value

  • Built scalable AI systems
  • Implemented multi-agent orchestration
  • Designed asynchronous workflow engines
  • Managed LLM API rate limits and costs
  • Created agent memory and context systems
  • Built conversational AI backends
  • Built and owned production systems end-to-end in a small team


What You’ll Build in the first 90 days, and beyond

  • Scalable, production-ready backend systems for AI agents and real-time user experiences
  • Asynchronous workflows, microservices, and event-driven systems
  • API-first services (GraphQL and REST), agent state management, memory/context systems
  • AI/LLM integrations with OpenAI, Anthropic, or open-source models
  • High-performance APIs using Python (FastAPI), Node.js, TypeScript, or Go/Rust
  • Secure and reliable infrastructure that handles embeddings, RAG, and multi-agent orchestration
  • Collaborative systems that translate ML models and data pipelines into production-ready services


We’re not expecting everything, but if you’re fluent in most of the following, we want to talk:


Languages & Frameworks

  • Python (FastAPI, Django, Flask) – essential for AI/ML backends
  • Node.js / TypeScript – agent comms and real-time systems
  • Go or Rust – performance-focused services
  • GraphQL & REST API design
  • Async/await patterns, WebSockets, token management


AI/ML Integration

  • LangChain, LlamaIndex, RAG pipelines (though we have our own proprietary framework which you will be contributing towards)
  • Vector DBs: Pinecone, Weaviate, Qdrant, Chromam
  • Graph DBs: Neo4j
  • Prompt engineering, embedding search, conversational AI backends
  • Experience building agent memory/context systems or chain-of-thought flows


Systems & Architecture 

  • Kubernetes, Docker, microservices
  • Workflow orchestration: Apache Airflow, Temporal, Prefect
  • Message queues: Kafka, RabbitMQ, Redis Pub/Sub
  • PostgreSQL with pgvector, Redis, MongoDB/DynamoDB
  • Event-driven and distributed system design


DevOps, Observability & Compliance (Nice to Haves)

  • AWS/GCP/Azure deployments
  • Logging: DataDog, New Relic
  • CI/CD pipelines (esp. for ML systems)
  • API security, rate limiting, abuse prevention
  • Prompt injection prevention, LLM-specific cost/latency monitoring


What you’ll have:

  • 5–10 years into your engineering career, still loving life as an IC
  • A product-minded builder who’s shipped and scaled real software
  • Comfortable leading decisions, not waiting for instructions
  • Experienced in fast-paced environments like early-stage startups
  • Self-sufficient, pragmatic, and mature in your execution


Interested? Drop us your portfolio...


Work Setup:

  • Remote-first, with preference for candidates in ET or CT US time zones
  • A lean, senior team with high ownership, low ego, and a bias toward execution
  • You’ll have direct influence on product direction, design, and growth


Compensation:

  • Base Salary: $160k - 200k (adjusted for location and experience)
  • Equity: negotiable