Senior Software Engineer, AI Agents
Reap
full-time
Posted on:
Location Type: Remote
Location: Singapore
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Job Level
Tech Stack
About the role
- Take our card operations agent from internal pilot to production — building the reliability, observability, and guardrails needed for a system handling real financial data and PII.
- Own the tradeoffs between latency, model selection, cost, and safety — making pragmatic architectural decisions that keep our unit economics viable as we scale.
- Build agent systems that are proactive, not reactive — designing solutions that anticipate what finance teams need rather than waiting to be asked.
- Expand agent capabilities across accounting automation, policy enablement, and card operations — working with the AI Product Lead to prioritise what moves the needle for adoption.
- Stay sharp on the frontier of LLM research and tooling — evaluate new models, methods, and architectures and bring what works into our stack.
- Think like a product engineer, not just an AI engineer — every system you build should drive platform adoption and make clients' lives measurably easier.
Requirements
- 8+ years of experience in full-stack or backend development — with strong proficiency in Python as your primary stack.
- Experience with Java, Golang, or Rust is equally welcome.
- Strong software engineering foundation — experience designing distributed systems, APIs, and scalable backend architectures.
- 1–2+ years of hands-on experience building AI agents in production — you've gone beyond prompting LLMs and have shipped systems that reason, plan, and act.
- Deep understanding of LLM internals — you know how models work under the hood, not just how to call an API.
- Architectural thinking beyond frameworks — you can evaluate when LangChain, LangGraph, AutoGen, or other agent frameworks are the right tool, and when to build from first principles.
- Familiarity with Model Context Protocol (MCP) — you understand what MCPs are and how they enable agent-tool interoperability.
- Leadership and delegation instincts — you're comfortable guiding and reviewing the work of others, and you operate with ownership over outcomes, not just tasks.
- Excellent communication skills — you can translate complex technical decisions into clear reasoning for engineering and product stakeholders.
Benefits
- Insurance coverage after probation
- Reap Card stipend
- Use of AI tools at work, and the space to learn, experiment, and grow with them
- A culture of innovation, inclusion, and continuous learning
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonJavaGolangRustdistributed systemsAPIsscalable backend architecturesAI agentsLLM internalsarchitectural thinking
Soft Skills
leadershipdelegationcommunicationownershipproblem-solvingproactive thinkingcollaborationadaptabilitycritical thinkingstakeholder engagement