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ai-engineering

12 items tagged with "ai-engineering"

Event

Building with Jev: Typed Decisions for AI Workflows

Jev is TypeSafe AI's first System One model: it makes fast, typed decisions from application state instead of generating chat text. In this 90-minute hands-on workshop, we will define Choice, Score, and Noul questions, batch independent judgments, and compose probabilities in Python code. We will build a support-ticket router with confidence thresholds, then discuss the native TypeSafe API, OpenRouter access, evaluation, and when a general-purpose LLM remains the better tool. Agenda: - 00:00–00:10 — Jev and the System One mental model - 00:10–00:25 — First typed decision - 00:25–00:40 — Choice, Score, and Noul - 00:40–01:05 — Build a support-ticket router - 01:05–01:18 — Confidence gates and human review - 01:18–01:27 — Native API and OpenRouter - 01:27–01:30 — Wrap-up and Q&A Bring Python and uv. API access is useful for the hands-on portion, but we will also explain the workflow without requiring a live key.

Sep 22, 2026
workshop typesafe jev ai-engineering
Event

Mock Interviews for AI Engineering Roles

We will run two mock hiring-manager interviews for volunteer participants, focused on AI engineering roles. The format is useful for most software engineering interviews too. Each interview will roughly follow this structure: - 5 minutes: introduction - project deep dive - about 20 minutes: coding task - 5 minutes: candidate questions After the interviews, we will discuss what happened, what worked well, and how to prepare for this interview style. Volunteer preparation: - Prepare a 2-3 minute self-introduction. - Select 2-3 past projects and review them before the session. - Be ready to explain the problem each project solved, your role and contribution, key technical and product decisions, technologies used, tradeoffs, and why you made those choices. - For more senior roles, be ready to connect the project to business metrics and explain how success was measured. We will invite two volunteers to participate live.

Jul 21, 2026
mock-interviews ai-engineering career
Event

Tailor Your CV for AI Engineering Roles

In this workshop we take a CV that's not focused on AI engineering roles and make it more relevant. We build a pipeline where: a renderer turns YAML into Harvard-style CVs we take my CV (focused on founder and community work), turn it into YAML, and adjust it for AI engineering roles we then adapt it to a particular industry (EdTech) and finally, we adjust it for a specific position in that industry You can reuse this process to adjust your CV and target it to any position. A few rules keep the CV honest at the end: Role titles must be defensible in an interview. The headline can position you for the market. Workshop flow We work through the CV in this order: Turn strategy notes and an existing CV into a focused AI engineering story. Move the CV into YAML so later passes edit structured content. Render the YAML to a plain HTML CV and print it to PDF. Adapt a copy for EdTech, then another copy for one job description. Distill the corrections into CV-PROCESS.md and test it on another CV. Links We build on the job-search workflow from selecting a portfolio project. There we pick a domain, study target companies, and use their roles to decide what to build or feature.

Jul 8, 2026
careers cv ai-engineering claude-code