Design, build, and operate production ML systems for rewards optimization, recommendation/ranking, uplift and causal measurement, and experimentation. Own feature pipelines, training, deployment (batch/APIs/services), monitoring, retraining, and model lifecycle. Mentor teammates and establish ML engineering standards while delivering data products from prototype to production.
Join one of the fastest growing rewards/fintech startups in the world - Benjamin! Backed by Play Ventures and F4 Fund, we're all about making everyday actions rewarding. We're looking for an experienced Senior Platform Engineer, Agentic Systems to help us take things to the next level.
At Benjamin, we give users real cash rewards—what we call MoMos (Money Moments)—for things they’re already doing. From playing games and watching ads to everyday card purchases with cash back, we’re all about putting money back in people’s pockets.
What you’ll do
- Agent runtime and orchestration architecture
- Multi-step planning, task decomposition and execution control
- Model selection, routing and fallback
- Tool selection, invocation and result verification
- Agent state, context, memory and durable resumption
- Human-in-the-loop controls for ambiguity and high-risk actions
- Recovery from model, tool and workflow failures
- Tracing, replay and debugging across agent trajectories
- Evaluations for task completion, correctness, safety and regression
- Guardrails, permissions and approval flows
- Platform primitives used to build additional agents and workflows
What we’re looking for
- Direct experience building and operating agentic systems in production
- Hands-on ownership of substantial parts of an agent runtime, harness or orchestration platform
- Experience with agents that perform multi-step work through tools and external systems
- Strong understanding of agent failure modes, including looping, tool misuse, context loss, false completion and partial execution
- Experience with durable state, suspension, resumption and recovery
- Experience building agent evaluations, trajectory analysis or regression suites
- Experience debugging production behavior from traces, tool calls and execution history
- Strong judgment about when to use model reasoning, deterministic logic or human review
- A record of shipping ambitious agent capabilities and owning their production performance
Our stack
- Data: Snowflake, BigQuery, Postgres, dbt
- Cloud/infra: AWS (GCP), Terraform, Docker
- Languages: Python, SQL, TypeScript
- Tooling: Hex, GitHub Actions, Git, Airbyte, Claude
You won't have used every tool here, and you don't need to. Strong engineering fundamentals and experience operating production data systems matter more than matching the stack.
Why Join Us?
- Competitive pay: We offer great salaries and bonuses.
- Thriving in Hyper-Growth: Immerse yourself in the dynamic environment of a hyper-growth startup, where you'll encounter daily challenges and avenues for professional advancement.
- Cutting-Edge Collaboration: Engage with innovative technology and join a fast-paced team known for its forward-thinking approach and commitment to innovation.
- Positive Workplace Culture: Experience a professional yet enjoyable atmosphere, where hard work is valued alongside a sense of humor and camaraderie, fostering a fulfilling work environment.
About Benjamin
Benjamin is reshaping the future of cash rewards with a simple idea: everyday actions should earn you cash. Whether you’re making a purchase, playing a mobile game, or watching an ad, you get rewarded with Benjamin Money Moments. It’s that simple.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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