Ask HN: Who is hiring? (August 2026)

MONUMENTAL | https://www.monumental.co/ | Amsterdam, The Netherlands | Full Time | Onsite

We make robots that autonomously construct buildings, starting with bricklaying.

There's a lot of vapourware in robotics, but we're deploying robots across multiple concurrent sites today - and generating revenue. In the last couple of months, our robots have built affordable social housing, health care living units, canal walls in the historic city centre of Amsterdam, and a youth sports centre. Help us to build things that matter in the long run.

We're looking for experienced software engineers for many roles. You can help us solve problems like:

- Data sync and analytics queries across a fleet of robots (that can be offline for hours at a time)

- Modelling buildings in code and finding the right UI for operators to edit them

- Designing systems for robots to drive safely and fully autonomously around a building site

Check out the progress we've already made on Atrium, our operating system for robotics: https://www.monumental.co/atrium

We're rapidly scaling up operations (recently announced our Series B!) and we need experienced engineers who can build the systems that manage all of that complexity. If you think that 'full-stack' could reasonably mean debugging firmware, mixing buckets of mortar _and_ writing React components, we are looking for you. Robotics experience not required!

https://www.monumental.co/jobs

Read a post from one of our forward deployed engineers about how we prototype fast: https://buildmonumental.substack.com/p/can-robots-build-pret...

fixed it!

Nango | Staff Backend Engineer, Founding DevRel, Founder's Associate | REMOTE (NA/LATAM/EU) + ONSITE (San Francisco) | Full-time | $140K–$220K + equity

Nango (https://nango.dev) is an open-source platform for product and AI-agent integrations. We handle auth, syncing, and tooling for 900+ APIs so developers can ship integrations in hours instead of weeks. 11k+ stars on GitHub.

Open roles:

- Staff Backend Engineer — REMOTE (North America, LATAM, Europe) | $140K–$220K + equity. Design and scale the backend systems and APIs that power millions of integration runs, and work directly with developer customers on hard integration problems.

- Founding Developer Relations — ONSITE (San Francisco) | $150K–$200K + equity. Build our presence in the AI developer ecosystem: content, conferences, community, partnerships.

- Founder's Associate — ONSITE (San Francisco) | $140K–$180K + equity. Work directly with the founders across strategy, product, ops, and GTM.

Apply: https://jobs.ashbyhq.com/Nango

Portless | AI Engineer | REMOTE (North America only) | Full-time | $180K-$230K + equity

Founding AI engineer seat. AI adoption at Portless today is basic (decks, spreadsheets, call summaries, a bit of vibe-coded dashboards) — no real end-to-end agentic workflows yet. You'll build the AI infrastructure: shipping high-impact agentic workflows yourself, and building reusable "Lego blocks" (APIs, MCP tools, docs) so any team can build their own. Cross-functional, high-leverage role touching every team, working directly with leadership. Example first project: an agent for inbound invoice questions — understands the question, pulls the right invoice, drafts a context-aware reply for a teammate to click-send, turning an hour of work into ~30 seconds.

Stack: Python, TypeScript, LLM APIs (Anthropic, OpenAI), MCP, RAG, vector databases, agent orchestration, Cursor/Claude Code. Requirements: Must be based in North America. 3+ years software engineering with 1-2+ years building production AI systems, 10+ real agentic/LLM workflows shipped end-to-end, platform mindset (built tools/infra for others, not just yourself), strong Python and/or TypeScript across backend and lightweight frontend, relevant sector background (e-commerce, 3PL, logistics, or comparable B2B).

Nice to have: RAG pipelines, vector DBs, multi-step tool-use/agent orchestration, evals frameworks. Full JD + Apply: https://uctalent.io/referral/Huynh_Nhu_Bao_Nhan221138/erKmmo...

I just started a new role and were using hatchet at scale. So far I have found it to be very well thought out. I love creating webhooks to test an event then deleting the webhook afterwards, makes testing for the QA team easy.