- Early StageStartup in initial stages
Job Location
Remote Work Policy
In office
Visa Sponsorship
Not Available
RelocationAllowed
Skills
Python
C++
PostgreSQL
Ruby on Rails
Go (Golang)
About the job
We're hiring an AI Software Engineer to join us in-office at NymbleUp.
We need a versatile engineer — someone who's just as comfortable shipping a backend service as chasing a frontend bug, writing a quick CLI, or prototyping an AI agent. The work shifts week to week, and we need someone who finds that energising rather than chaotic.
If you already use Claude Code (or similar agentic tools) as part of how you actually work — not as a curiosity — and you genuinely enjoy debugging Linux systems when things go sideways, we should talk.
𝗪𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗯𝗲 𝗱𝗼𝗶𝗻𝗴
- Working across the stack — backend, frontend, infra, internal tools, AI features
- Using Claude Code and agentic dev tools to ship faster, with the judgement to know when to lean on them and when not to
- Debugging real problems across services, databases, browsers, and Linux hosts
- Owning your code through design, ship, monitor, and on-call — not handing it off
𝗪𝗵𝗮𝘁 𝘄𝗲'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿
- Bachelor's or higher in Computer Science / IT / Computer Engineering — this is a hard requirement. We are NOT considering candidates from non-CS streams (Mechanical, Electrical, ECE, Civil, Chemical, etc.) for this role.
- 3+ years of production backend experience with at least one of: Python (Django/FastAPI), Ruby on Rails, Golang, or C++ — plus solid systems fundamentals (DSA, concurrency, networking, OS)
- Hands-on familiarity with Claude Code (Cursor agents, Aider, Codex CLI, etc. count too)
- Strong Linux fundamentals — shell, processes, networking, systemd, the works
- Real debugging instincts — stack traces, logs, strace/tcpdump/journalctl, browser devtools
- PostgreSQL fluency
- Able to work full-time from our office
𝗕𝗼𝗻𝘂𝘀 𝗽𝗼𝗶𝗻𝘁𝘀 𝗶𝗳 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲
- Experience in QSR, retail, or similar high-volume operational domains
- Background in linear programming, optimisation, or demand forecasting
- Worked with LLM APIs (Anthropic, OpenAI) — tool use, evals, agentic workflows
- Docker, GCP/AWS, Sentry/Grafana
- Open-source or internal dev-tooling contributions
About the company
- Early StageStartup in initial stages
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