Founding Platform Engineer

What you will do

• Build the core of our product across frontend, backend, and data workflows.
• Turn prototype scripts and one-off workflows into reusable product systems.
• Build customer-facing interfaces for querying, exploring, and auditing AI-generated insights.
• Design clear product experiences for complex concepts like evidence, uncertainty, provenance, traces, predictions, and reports.
• Build backend APIs for customer workspaces, data ingestion, workflow execution, auth, and artifact retrieval.
• Design systems for storing source files, runs, outputs, traces, reports, evaluations, and provenance.
• Create internal tools that make customer deployments faster and less manual.
• Own early deployment, observability, reliability, and security foundations.
• Work closely with the Founding AI Engineer to productize AI workflows.
• Work closely with the founders to turn customer pain into product primitives.
• Help define the engineering standards, architecture, and product culture.
• What we are looking for

You may be a strong fit if you have

• 5+ years of software engineering experience.
• Strong backend skills, ideally Python, Fast API, or a similar stack.
• Strong frontend and product engineering ability, ideally React, Next. js, Type Script, or equivalent.
• Good SQL and data modelling instincts.
• Experience building data-heavy, workflow-heavy, or B2B Saa S products.
• Comfort deploying and operating production systems.
• Good product judgment: you care about clarity, speed, reliability, and user trust.
• The ability to move fast without creating unnecessary mess.
• Clear communication and a bias toward making complex systems understandable.
• Especially relevant experience
• We would be particularly interested if you have worked on any of the following:
• Early-stage B2B Saa S products.
• Data products, analytics tools, workflow tools, internal platforms, or AI products.
• Products with file uploads, artifact storage, versioning, lineage, or audit trails.
• Auth, permissions, rate limits, customer workspaces, and deployment pipelines.
• LLM applications, RAG products, AI copilots, or streaming interfaces.
• Polished interfaces for complex analytical or operational workflows.
• High-reliability products where customer trust depended on transparency and correctness.
• Technical areas
• You do not need to know all of these, but the role will touch many of them:
• Python, Fast API, Pydantic
• React, Next. js, Type Script
• Postgres and SQL
• Object storage and artifact management
• Background jobs, queues, and workflow orchestration
• Auth, permissions, rate limiting
• Vercel, Railway, Render, Fly, AWS, GCP, or similar
• LLM APIs, streaming responses, embeddings, and vector search

Disclaimer: Calyptus uses an automated assessment tool that scores applicants.

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