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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 Makes This Technically Hard
The challenge is not simply building a polished UI on top of an AI system. The challenge is building product infrastructure that makes messy data, uncertain predictions, model traces, source evidence, and customer-facing outputs feel coherent, inspectable, and trustworthy.
Customers need to understand:
- What the system said
- Why it said it
- What evidence it used
- What assumptions it made
- How the output can be tested against reality
Your job is to make that possible through product, systems, and engineering craft.
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, FastAPI, or a similar stack.
- Strong frontend and product engineering ability, ideally React, Next.js, TypeScript, or equivalent.
- Good SQL and data modelling instincts.
- Experience building data-heavy, workflow-heavy, or B2B SaaS 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.
- Strong ownership in ambiguous environments.
- 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 SaaS 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, FastAPI, Pydantic
- React, Next.js, TypeScript
- Postgres and SQL
- Object storage and artifact management
- Background jobs, queues, and workflow orchestration
- Auth, permissions, rate limiting
- Observability, logs, tracing
- Vercel, Railway, Render, Fly, AWS, GCP, or similar
- LLM APIs, streaming responses, embeddings, and vector search
- Data import/export workflows
Disclaimer: Calyptus uses an automated assessment tool that scores applicants.
Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.
Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.
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