Benji

About Benji

Benji is building the infrastructure layer for loyalty and brand connectivity. We enable companies to integrate, launch, and scale loyalty experiences across partners through a single platform—turning fragmented ecosystems into programmable networks.

We work with leading enterprise brands and move fast to bring new partnerships and integrations to life.

The Role

We’re looking for a Senior Backend Engineer (or full stack with a strong backend emphasis) to own core platform services and help define how we build software in an AI-native way.

This role sits at the intersection of:

  • Backend platform engineering
  • Distributed systems & event-driven architecture
  • Partner integrations & API design
  • AI-powered engineering workflows

You will:

  • Design, build, and extend Benji’s Python microservices across campaigns, users, rewards, orders, and partner integrations
  • Own event-driven workflows, data integrity, and cross-service orchestration at production scale
  • Build and evolve AI-native engineering standards - agents, MCP tooling, and LLM-powered product workflows

This is not a maintenance role - you’ll be building the core infrastructure that powers loyalty flows for enterprise brands.


What You’ll Do

1. Build & Own Core Platform Services

  • Design, build, and extend Benji’s backend microservices using our layered architecture
  • Build and maintain Python based APIs with OpenAPI docs, authentication, and strict schema contracts
  • Implement event-driven workflows via messaging brokers
  • Own relational and non relational schema design, migrations, and data integrity across services
  • Extend shared platform libraries and uphold cross-service conventions

2. Integrate with Partners & External Systems

  • Build reliable integrations with loyalty programs, payment platforms, and commerce systems (REST, OAuth, webhooks)
  • Handle real-world edge cases: rate limits, retries, idempotency, reconciliation, and data inconsistencies
  • Design abstractions that normalize messy partner APIs into clean Benji domain models
  • Own webhook delivery, token lifecycle, and secure credential handling

3. Operate at Production Scale on AWS

  • Deploy and operate services such as ECS Fargate, Aurora PostgreSQL, Redis, S3, and Elasticsearch
  • Work with Terraform to evolve infrastructure as the platform grows
  • Instrument services with OpenTelemetry and structured logging
  • Own integration tests and maintain high confidence in cross-service behavior

4. Build AI-Native Engineering Workflows

  • Design and maintain agent-ready engineering standards: in house rules, skills and relevant AI oriented documentation
  • Build and evolve MCP servers and agent tooling that give our clients’ AI systems safe, accurate context into their Benji integration
  • Integrate LLMs into product workflows
  • Experiment with and adopt new AI dev tooling (Cursor agents, copilots, code generation workflows) to improve velocity across the team
  • Write prompts, tool definitions, and guardrails that make AI output production-grade
  • Champion AI native workflows across our engineering and product teams.


Who You Are

  • 7+ years of experience as a backend or full-stack engineer with a strong backend focus
  • Comfortable owning services end-to-end - from API design through database schema, event handling, deployment, and debugging
  • Strong Python backend experience and solid understanding of distributed systems
  • You care about correctness in production systems and enjoy untangling integration complexity
  • You’re an AI-first engineer - you already use agents and LLMs in your daily workflow, and you’re excited to help a team adopt that at scale
  • You’re excited about building scalable, enterprise ready systems.

Required

  • Strong Python backend experience (Flask or similar frameworks)
  • Production experience with PostgreSQL, REST APIs, and event-driven architectures (queues, pub/sub, async consumers)
  • Solid understanding of distributed systems: idempotency, retries, eventual consistency, and webhook reliability
  • Experience deploying and operating services on AWS (ECS, RDS/Aurora, SQS, S3, or equivalent)
  • Hands-on experience working with LLMs and AI developer tooling as part of how you build software
  • Experience building or integrating:
    • AI agents, LLM-powered workflows
    • MCPs, CLIs or similar context/tooling layers
  • Familiarity with prompt design, tool use, and integrating LLMs into real product workflows
  • Strong interest in making AI a first-class part of engineering culture, not an afterthought


Nice to Have

  • Experience with loyalty, fintech, commerce, or API platform domains (Stripe, Plaid, Square, etc.)
  • Terraform and infrastructure-as-code experience
  • Elasticsearch or search/analytics read models
  • Vue/TypeScript comfort for occasional full-stack work
  • Experience authoring agent context
  • Experience with AWS Bedrock or other managed LLM APIs in production
  • OpenTelemetry / observability tooling (Coralogix, Datadog, etc.)


What Makes This Role Unique

  • You’ll own core platform services that power loyalty flows for enterprise brands—not peripheral features
  • You’ll work on real integration complexity (partners, payments, webhooks) at production scale
  • You’ll help **define how an engineering team builds with AI-**standards, agents, MCPs, and LLM product integrations
  • Small team, high ownership—you’ll see your work go live with major partners quickly


Compensation & Benefits

  • Competitive salary + equity
  • Health, dental, vision
  • Flexible work environment


Why Benji

We’re building something ambitious: the infrastructure layer for loyalty ecosystems. If you love tackling complex unsolved challenges, messy real-world integrations, and pushing the frontier of AI-native engineering - this role is for you.

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