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.