1051 remote Hn Whos Hiring jobs

GitBook·Remote (EU); Amsterdam We're building the AI-native platform for documentation. Teams use GitBook to create and leverage product knowledge — technical docs, API references, user guides +8 more

Go.Shop·Remote (GMT to GMT+8, London travel)

Railway·Remote (Worldwide)

Carrot·Full-Time

Ditto·Remote (US/Canada)·USD 140,000 - 200,000 / annual

Ditto·Remote (US/Canada)·USD 140,000 - 200,000 / annual

Pinch (bookpinch.com)·Full-time

Censys·Full Time

Ardent AI·Remote (US)·USD 180,000 - 200,000 / annual

Baserow·Remote (Europe)

Colonist·Full-time

CoPlane ( )·NYC (preferred) or Remote (North America)

Glitch·Ireland & Remote (EMEA preferred)

Great Question·Remote (Canada)

Hatchet·NYC or SF or Remote (US and EU)

Hipcamp·Full-time

Phaselaw·Remote (US)

Revieve·Remote (Helsinki HQ)

Safi·London HQ or Remote (within ±2 hrs of London)·GBP 110,000 - 160,000 / annual

Torq Interface·Ruby / TypeScript

Search Atlas·Remote (anywhere, EST hours)·USD 23 - 34 / hour

Search Atlas·Remote (anywhere, EST hours)

Stackable·Remote (Germany/UK)

EQTY Lab·LA, SF, or Toronto (Remote hours included)

HelloPrenup·Remote (US Timezones)

PDM Automotive·US Fully Remote·USD 125,000 - 135,000 / annual

SafetyWing·Remote

Nylas·Remote (US or Canada)

Chainguard·Remote

Scale AI·TypeScript, Node, Python +1 more

Baserow·Remote (Europe or US)

CoPlane ( )·NYC or Remote (North America)

CoPlane ( )·Remote (North America) or NYC

Dashdoc·Dutch-speaking

Pairio ( )·Remote (Europe)

Datamint·Remote (Global)

PAGNOS·Remote (Germany)

Comograph·Remote (Global / US/EU/Africa time zones welcome)

Snout·Remote US or Ontario, Canada

We The Flywheel·Remote (async, global)

Sidekick Labs·Remote (US Timezones)

Location: Buenos Aires, Argentina (UTC-3) Remote: Yes Willing to relocate: Yes, depending on the opportunity Technologies: Python, TypeScript/Node.js, React/Next.js, FastAPI, PostgreSQL, AWS, PyTorch, LLM/agent systems, TTS/voice cloning Résumé/CV: GitHub: LinkedIn: Email: ffranclarke@gmail.com Software / AI Engineer and recently graduated Systems Engineer with ~1 year of professional experience. At Neufitech, I work on voice technology for people with ALS, including voice cloning/TTS, audio processing, APIs, inference infrastructure, and integration into applications. For my engineering thesis, I built ManyHands, a multi-agent software engineering orchestrator that decomposes tasks into a hierarchical DAG, runs coding agents in isolated Git worktrees, evaluates outputs, and integrates results bottom-up. Primarily looking for Software Engineering and Applied AI / AI Engineering roles. Also very interested in MLOps, AI infrastructure, and cloud/platform engineering. I enjoy working at the intersection of software, models, and infrastructure, and owning problems end-to-end. Open to remote opportunities internationally and roles in Argentina.·Remote

Location: Dorset, UK Remote: Yes (UK, US and EU time zones) Willing to relocate: No Technologies: Ruby on Rails, Python (FastAPI), TypeScript/Node, Go, PostgreSQL, AWS, Hotwire Resume/CV: Email: wm@wagnermatos.co.uk Senior engineer, over 15 years. I build complete products: one senior engineer accountable end to end, AI accelerated. Recent work includes a clinical alerting platform used by NHS trusts, an edge to cloud analytics platform for Johnson & Johnson Medical, and the cloud platform behind a fielded detection hardware fleet. Also open to contract engagements. Case studies and client testimonials on the site.·Remote

Location: Pisa, Italy (CET) Remote: Yes, remote only Willing to relocate: No Technologies: Python, LLM/agent orchestration, local embeddings, retrieval evaluation, AWS (Lambda/SQS/EventBridge), Terraform, Django, PostgreSQL, LightGBM/PyTorch, NLP/Transformers Résumé/CV: linkedin.com/in/vslovik Code: github.com/vslovik/fenix — local-embedding search whose relevance is actually measured: labelled control probes, blinded human ranking, precision@k. No API keys. Email: valeriya.slovikovskaya@gmail.com Software architect, 15+ years in production systems, almost entirely startups and internal startups — fintech, e-commerce, pharma, publishing. The work I get pulled into is the recurring startup problem: a service shipped fast under launch pressure, without adequate tests, that later has to be made reliable without being stopped. Incident response, re-architecture, and the release discipline that keeps it from happening again. Most recently that has meant a regulated UK consumer-credit platform — loan servicing, arrears, forbearance, statutory breathing space, and early-settlement calculations written against consumer-credit legislation. Regulation as code, behind a test suite larger than the production codebase. I've done that in all three configurations: taking a core system from problem statement to release, leading the team that carried it (1 to 7 engineers in ten months), and now doing the same work again with agentic tooling covering what the team used to. On the data side: a LightGBM acquisition model over a 38M-row base — 0.77 test AUC, 8x lift in the top 1% — scoring 2.9M households for a live campaign. The part I'd rather be judged on is what happened next: I found a validation-set defect in my own pipeline (early stopping on the test split), quantified its effect across every figure I had already reported, restated them, and added a pure-noise regression test that pins the model to chance when fed random features — so that class of leak cannot come back quietly. NLP is hands-on rather than API-deep: my degree thesis fine-tuned BERT, RoBERTa and XLNet to state of the art on the FNC-1 stance-detection benchmark, published at LREC 2020. Building on my own time: github.com/vslovik/fenix — it ranks an incoming stream against a free-text description of what you're looking for, and answers questions over the same corpus with citations back to source chunks. Ollama embeddings, sqlite-vec, no API keys. The part worth looking at is the evaluation: the ranking anchor is scored against a labelled probe set with a deliberate control group of things I don't want, and live results are rated blind — scores hidden, order shuffled — so the human judgement stays independent of the ranking it is judging. Doing that produced a measured finding I did not expect: an embedding has no notion of negation, so naming a technology in order to reject it moves the anchor toward it. Numbers and method in lessons/embedding-anchors.md. Also a tool-calling agent that turns unstructured regulatory text into a deterministic calculation pipeline — the model does the extraction, a deterministic engine does the arithmetic. Looking for agentic AI/LLM engineering, LLM evaluation and observability, AI integration, or software architecture. Founding-engineer shape suits me — early employee, not co-founder, but early enough to be in the room where the work gets defined. Direct with the company that owns the product: not consultancy, not agency placement, not a body on someone else's engagement.·Remote

PrairieLearn (Remote US) — Full-Stack Software Engineer — TypeScript / Postgres / React / AI PrairieLearn ( ) is an open-source assessment platform used by universities across the US (Berkeley, Princeton, Michigan, Illinois, and others). We power mastery-based learning and large-scale exams. We’re a small, profitable, early-stage company (bootstrapped, no VC) that is growing quickly. Our users love us and we have very high retention and rapid spread through word of mouth. As an early-stage hire, you’ll work across the stack and enjoy meaningful ownership from day one. Tech we use: Node.js / TypeScript backend, Postgres, AWS, React. We’re also developing AI tooling, including LLM agents to help instructors create content, and vision-language models to help grade student work. PrairieLearn is open core: Details: - Location: Remote (US only) - Salary: $100k-$180k depending on experience - Benefits: Stock options (0.5% - 1.5%), unlimited PTO, flexible hours - Role: Full-time. (We’re not able to sponsor visas at this time.) Apply at·Remote

Ditto·Full-time

Fusionbox·United States

Fusionbox·United States

Fusionbox·United States

Proven Software·Remote (US) Full-Time