Nuclearn · 3 months ago
Full‑Stack Engineer II/Sr (React + Python)
Nuclearn.ai is a company that builds AI-powered software for the nuclear and utility industries. They are seeking a Full-Stack Engineer II/Sr to own features end-to-end across a modern Python/React stack, focusing on reliability and integration work while collaborating closely with customers.
Artificial Intelligence (AI)EnergyMachine LearningNuclearSoftware
Responsibilities
You'll own features end‑to‑end across a modern Python/React stack, with a heavy dose of reliability, data plumbing, and “meet the enterprise where it is” integration work
Ship production features across React (frontend) and FastAPI (backend) that power our products (e.g., CAP AI, AtomAssist)
Design and evolve APIs and Postgres schemas for performance, correctness, and auditability (migrations, indexing/partitioning, background data corrections)
Containerize and deploy services with Docker/Podman and Kubernetes; help tune queues/workers (Redis, RabbitMQ, Celery) for throughput, reliability and idempotency
Make data usable: build ingestion pipelines that prefer tabular sources (CSV/Excel/JSON) but gracefully handle the “we only have PDFs” reality - minimizing OCR, adding validation, and failing safely
Integrate with customer systems common in the industry (e.g., Maximo, DevonWay, Microsoft 365/Teams/OneNote)
Own reliability: reduce noise and fix root causes identified across Sentry and Netdata; add observability, back‑pressure, retries, and circuit breakers so we never lose a record
Collaborate with customers: join (lightweight) customer calls with utilities to understand constraints, scope integrations, and demo new capabilities
You'll bounce between product code, schema work, a gnarly data import, a Sentry investigation, and a customer demo environment - often in the same week
Build a DevonWay → CAP AI connector that ingests event data in tabular form, validates against our schemas, and supports safe reprocessing
Add a “simulate, then apply” workflow for CAP automations (human‑in‑the‑loop gates, dry‑run diffs, full audit trails, easy rollbacks)
Cut a noisy Sentry class of errors by 30% by hardening a Celery task (idempotent writes, retry policy, dead‑letter queue)
Implement license entitlements & usage reporting for a fleet customer renewal (clean server‑side enforcement plus UI visibility)
Deliver a small Teams/OneNote POC to integrate new data streams into AtomAssist
Qualification
Required
Degree in CS or related field—or equivalent practical experience
You've shipped production React + FastAPI and can contribute independently within ~6 weeks
You care about correctness and safety: typed APIs, schema migrations with backfills, idempotent jobs, and tests that catch the sharp edges
You're comfortable with customer‑facing engineering (a quick demo, a clarifying question, a pragmatic workaround)
Clear, direct communicator; kind reviewer; steady under pressure
Preferred
AI/ML or data‑pipeline experience (prompting, retrieval, feature stores, vector search)
Prior startup experience
Exposure to nuclear/utility or other safety‑critical domains (aviation, med‑device, rail, etc.)
Benefits
Unlimited PTO
Health/dental/vision insurance
Company
Nuclearn
Nuclearn is a software company delivering AI solutions for automating Nuclear Industry tasks.
Funding
Current Stage
Early StageTotal Funding
$13MKey Investors
Blue Bear CapitalAZ-VC
2025-09-09Series A· $10.5M
2023-08-01Seed· $2.5M
Recent News
Columbia West
2025-11-15
2025-10-15
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