AI Product Engineer
New
C
Casper StudiosArtificial Intelligence
We have team members across North America and internationally, mostly overlapping North American time zones. Work when and where you want, as long as the work gets done, mostly overlapping North American time zonesFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- ETLTypeScriptAirflowData engineeringCI/CDLLM
Requirements
- Strong engineering fundamentals: programming, debugging, and system design
- Proven experience shipping real LLM-based products, including error analysis and evaluation of outputs
- Data engineering expertise: data modeling, architecture, and ETL/pipeline experience (e.g., Airflow, Dagster, Inngest, Prefect)
- Web and infrastructure fundamentals: auth, security, query profiling, CI/CD, and cost-aware cloud deployment
- Proficiency with modern AI tooling (e.g., Claude Code)
- High agency: ability to frame ambiguous problems, state assumptions, and push work forward independently
- Strong technical writing skills and a high say:do ratio
- Comfort working directly with clients at a senior level
- Experience building observability for AI products
- Fluency in TypeScript is preferred
Responsibilities
- Own AI product builds end to end, from concept through production, on a client engagement
- Decide what to build and how: gather requirements, pressure-test what stakeholders ask for, and prioritize the work that matters
- Prototype fast with LLMs, then harden into production with the data pipelines, integrations, and evals that make it trustworthy
- Do the data engineering enterprise work requires: ingestion, data modeling, and ETL
- Serve as the primary technical contact for clients - talk shop with their engineers and give their executives clarity
- Instrument what you build (analytics, funnel metrics, error analysis) and iterate on real usage, not assumptions
- Own reliability, security, and cost: auth, secrets, PII handling, and not blowing up the cloud bill
- Write up what you learn; for the team, for clients, and publicly
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