Software Engineering Lead - FlowGen Labs

Amari AI

$160K — $250K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in architecture and systems design
  • Proficient in AWS or Azure cloud platforms and Infrastructure as Code
  • Strong coding skills in Node.js and TypeScript
  • Experience with PostgreSQL and vector databases
  • Knowledge of CI/CD processes using GitHub Actions or GitLab CI
  • Familiarity with AI tools and workflows
  • Excellent communication and decision-making skills

Responsibilities

  • Define and implement cloud and systems architecture standards
  • Lead the development of Node.js services and AI workflows
  • Ensure quality and reliability in all deliveries
  • Collaborate with teams on orchestrating complex integrations
  • Apply AI tools effectively in development and testing initiatives
  • Foster a culture of fast-paced innovation and practical solutions

Benefits

  • Direct impact on product development with low bureaucracy
  • Emphasis on high craftsmanship and efficient shipping
Full Job Description
Role Summary

Define architecture, standards, and deliver solutions end to end. This hybrid, generalist role blends core platform design in cloud (AWS/Azure) data and application architecture with hands on, customer facing delivery. You will lead builds across Node.js services, AI and agent workflows, and integrations with enterprise systems, owning quality and reliability.
  • Cloud and Systems Design with depth in building secure, scalable systems across networking, autoscaling, multi tenant patterns. Proficiency with Infrastructure as Code using Terraform or CDK and strong observability with metrics, tracing, logs, and SLOs.
  • Application Engineering Strong Node.js and TypeScript for APIs and services. Proficiency with Postgres and experience with vector databases such as pgvector, Pinecone, or Milvus for retrieval and semantic search.
  • Experience orchestrating agentic workflows and retrieval augmented generation. Familiarity with LangGraph is a plus.
  • DevOps and Delivery Solid engineering practices including CI/CD with GitHub Actions or GitLab CI, automated testing, code reviews, trunk based development. Comfortable with Docker and modern release management.
  • Hands on use of AI tools with clear ideas for applying AI to development, testing, data, and support.
  • Ownership mentality, crisp communication, comfortable deciding with 80 percent information.
  • Move fast without breaking things, not afraid to learn new stacks, bring a we will figure it out attitude.
Logistics
  • Total compensation: $240,000 to $400,000
  • Base salary: $160,000 to $250,000 plus meaningful founding equity
  • Location: In person, San Francisco Bay Area
  • Visa Support/Sponsorship available

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