Ask HN: Who wants to be hired? (October 2026)
A long-running Hacker News hiring thread highlights how deeply AI tooling has permeated software work, from backend systems and DevOps to product design, marketing, and even fiction editing—many candidates now describe not just using LLMs, but building agents, eval harnesses, and MCP servers around them. The posts span a global pool of mostly senior engineers and product folks seeking remote or contract roles, with strong concentrations in backend, distributed systems, infrastructure, embedded, and AI-native products, alongside a smaller number of designers, PMs, security specialists, and data scientists. A recurring theme is end‑to‑end ownership: people emphasize shipping real products, verifying AI output rather than trusting it, and rescuing complex or legacy systems that already have users and regulatory constraints.
Overall thread character
- “Who wants to be hired?” thread is dominated by individual listings rather than back‑and‑forth debate.
- People advertise skills, preferred working conditions, and sample projects, often with live demos and GitHub links.
- Roles span engineering, design, product, marketing, data, security, and even therapy/coaching, but are heavily skewed toward senior software engineers.
Technical focus areas
- Very strong emphasis on AI/LLM work:
- RAG systems, embeddings, vector search, retrieval evaluation.
- Agentic workflows: LangGraph, LangChain, MCP servers, tool-calling, multi‑agent orchestration, LLM‑as‑judge, regression suites.
- Voice agents, browser agents, code‑assist agents, AI document pipelines, and domain‑specific assistants.
- Classic backend and systems skills remain prominent:
- Go, Rust, Python, Java, C/C++, Node/TypeScript, .NET, SQL/NoSQL, Kafka, Kubernetes, Terraform, cloud platforms.
- Distributed systems, low‑latency trading, observability, DevOps/SRE, embedded/firmware, GPUs and CUDA.
- Frontend and product engineering are also common:
- React/Next.js, Vue, Svelte, mobile (iOS/Android, React Native, Flutter), design systems, data‑heavy UIs.
Roles, seniority & work patterns
- Many are senior or staff‑level ICs, tech leads, ex‑founders, or fractional CTO/CISO; a smaller number are juniors, interns, and career‑switchers.
- Mix of preferences: full‑time employment, long‑term contract, fractional leadership, fixed‑scope consulting.
- Remote‑first is overwhelmingly preferred; relocation is often limited or conditional, though some explicitly seek visas or specific regions.
Attitudes toward AI‑assisted development
- Widespread daily use of tools like Claude Code, Cursor, Copilot, Codex.
- Repeated emphasis on:
- Deterministic backends and verifiable pipelines.
- Test suites, eval harnesses, mutation testing, and audits to “keep LLMs honest.”
- LLMs used for exploration and drafting, not final authority—“help find the answer; can’t be the answer.”
Meta & concerns
- Several posts complain about spammy or scam outreach (including geopolitical concerns) and “referral bots” scraping contact info.
- Some explicitly forbid agents, scrapers, and AI‑authored outreach, or insist on serious, specific opportunities only.