Senior Platform Engineer, Agentic Systems

Senior Platform Engineer, Agentic Systems Europe, Finland or Spain preferredJoin 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 experiencedSenior Platform Engineer, Agentic Systemsto 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 are already doing.From playing games and watching ads to everyday card purchases with cash back, we are all about putting money back in people’s pockets.What you’ll doAgent runtime and orchestration architectureMulti-step planning, task decomposition and execution controlModel selection, routing and fallbackTool selection, invocation and result verificationAgent state, context, memory and durable resumptionHuman-in-the-loop controls for ambiguity and high-risk actionsRecovery from model, tool and workflow failuresTracing, replay and debugging across agent trajectoriesEvaluations for task completion, correctness, safety and regressionGuardrails, permissions and approval flowsPlatform primitives used to build additional agents and workflowsWhat we’re looking forDirect experience building and operating agentic systems in productionHands-on ownership of substantial parts of an agent runtime, harness or orchestration platformExperience with agents that perform multi-step work through tools and external systemsStrong understanding of agent failure modes, including looping, tool misuse, context loss, false completion and partial executionExperience with durable state, suspension, resumption and recoveryExperience building agent evaluations, trajectory analysis or regression suitesExperience debugging production behavior from traces, tool calls and execution historyStrong judgment about when to use model reasoning, deterministic logic or human reviewA record of shipping ambitious agent capabilities and owning their production performanceOur stackCloud/infra: AWS (GCP), Terraform, DockerLanguages: Python, SQL, TypeScriptTooling: Hex, GitHub Actions, Git, Airbyte, ClaudeYou 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.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.#J-*****-Ljbffr

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 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. 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. #J-*****-Ljbffr

Madrid, España

Senior Platform Engineer, Agentic Systems Europe, Finland or Spain preferred 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 are already doing. From playing games and watching ads to everyday card purchases with cash back, we are 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