Description

• Build internal applications and tools end to end — Python backends, React front-ends, and the APIs between them.
• Design and implement AI workflows and AI agents that automate real Finance and Supply Chain processes.
• Model long-running, stateful business processes as durable Temporal workflows — orchestration, retries, human-in-the-loop steps, exception handling.
• Build backend and enterprise integrations (ERPs, finance/supply-chain systems, third-party APIs, internal services).
• Own production support for your systems: monitoring, debugging, incident response, and iterative hardening.
• Translate ambiguous business requirements into reliable, well-scoped software with limited direction.

Must-have qualifications

• 5+ years building production software, with strong recent Python (async, typing, testing discipline).
• Solid CS fundamentals — data structures, algorithms, complexity — strong enough to pass a rigorous coding interview.
• Backend and API depth: designing, building, and integrating services; handling failure, idempotency, and data consistency.
• Working React proficiency — can build and maintain functional front-ends for internal tools.
• Proven ability to work through ambiguous business workflows independently and ship reliably and quickly.
• Strong written and verbal communication; comfortable defending design decisions with client engineers.
• Legally authorized to work in the US. Strongly preferred
• Hands-on Temporal (or equivalent durable-execution engines like Cadence, Step Functions) — understands determinism constraints, activity/workflow boundaries, signals/queries, durable timers, versioning, worker scaling.
• Experience building AI workflows or agents — LLM orchestration, tool/function calling, retrieval, evals, guardrails.
• Finance and/or Supply Chain domain exposure, or experience with enterprise system integrations.
• Production ownership: on-call, observability (logs/metrics/tracing), safe deploys.
• What makes a candidate stand out
• Clean, testable, idiomatic code and a high personal quality bar — reviewers rarely need to ask twice.
• Can decompose a vague, open-ended problem into a correct, incremental plan and explain the reasoning clearly.
• Fast learner — picks up unfamiliar codebases, domains, and tools quickly.
• Track record of shipping reliable systems in fast-moving, high-stakes environments.

Nice to have

• Cloud (AWS/GCP), containers/Kubernetes, CI/CD.
• Datastores at scale (Postgres, Redis, Kafka, etc.).
• Experience embedded with or vendored into a demanding client engineering org

Key Skills

Education

Bachelor's degree