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About this opportunity
This role is being recruited by Calyptus on behalf of one of our clients.
Calyptus is a specialist recruitment partner helping startups and high-growth technology companies hire across engineering, product and design.
What to expect
- We’ll review your application and, if your experience is a strong match, one of our team will be in touch
- We’ll support you throughout the interview process and keep you updated at each stage
- If this particular role isn’t the right fit, we may consider you for other relevant opportunities with our clients.
What you will do
- Build production-grade LLM and agentic workflows for business decision-making.
- Turn customer, market, and operational data into reasoning contexts that models can use reliably.
- Design evaluation, tracing, replay, and quality-control systems for nondeterministic AI outputs.
- Work on counterfactual analysis, forecasting, customer behaviour modelling, and decision support.
- Improve reliability through structured outputs, retrieval, constraints, calibration, tests, and model comparisons.
- Build internal tools that make AI workflows repeatable across customers and use cases.
- Help define how we measure whether a prediction was useful, accurate, and trustworthy.
- Work directly with the founders on product direction, customer problems, and technical architecture.
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What we are looking for
You may be a strong fit if you have:
- 5+ years of engineering experience.
- Strong Python skills and comfort building production systems.
- A solid ML, data science, or applied AI background.
- Recent hands-on experience with LLMs, agents, RAG, tool use, or AI workflow systems.
- Experience designing evaluations, tests, metrics, or quality gates for AI/ML systems.
- Good judgment around hallucination, uncertainty, model failure modes, and measurement.
- Comfort working with messy data, SQL, APIs, and data pipelines.
- The ability to debug both code and reasoning.
- Strong product instincts: you care whether the output actually helps a user make a decision.
- High agency in ambiguous environments.
- Clear communication and intellectual honesty.
Especially relevant experience
We would be particularly interested if you have worked on any of the following:
- LLM applications or agentic systems in production.
- Evaluation systems for LLMs or ML models.
- Applied ML systems for forecasting, experimentation, analytics, recommendations, or decision intelligence.
- RAG, embeddings, vector search, structured extraction, or model orchestration.
- Statistical analysis, A/B testing, causal inference, or calibration.
- Data products where traceability, auditability, or reliability mattered.
- Early-stage startups where you had to own both technical direction and implementation.
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Genuine opportunities
Every role advertised by Calyptus is a live position we’re actively recruiting for. Some clients prefer to remain confidential during the early stages of the hiring process. When that’s the case, certain company details may be shared later in the process.
Why work with Calyptus?
- Access opportunities with ambitious startups and high-growth technology companies
- Direct support from experienced specialist recruiters
- Honest feedback and clear communication throughout the hiring process
- Long-term career support, not just a single job application
We look forward to hearing from you.
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