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Interview Resources·Remote

Pomelo Care·Remote

Pomelo Care·Remote

Pomelo Care·Remote

Pomelo Care·Remote

Founding Head of Growth — Comograph - Fully Remote - Worldwide Comograph is building the global Proof-of-Work network for human capability. We’re looking for an experienced growth/sales leader to join our founding team and own our path to the first 10 paying employers. You’ll own: \ B2B growth & GTM \ Employer acquisition & closing \ Strategic partnerships \ Building our first repeatable sales engine \ Working directly with the CEO We want someone who has actually grown an early-stage company, knows how to open doors, sell, build relationships, and execute independently. Equity-only at this stage. No salary yet. This is a true founding opportunity—you won’t inherit a growth function; you’ll build it. Interested? Send your CV/LinkedIn to ceo@comograph.com with a short note on what you’ve grown and how you’d get Comograph its first 10 paying employers.·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

Location: Dubrovnik, Croatia (CET) Remote: Yes (remote only; EU/UK/US-overlap hours OK) Willing to relocate: yes Technologies: TypeScript, React, Next.js, Node.js/Express, PostgreSQL, Supabase, Prisma, Stripe (billing, webhooks), OAuth/JWT/RBAC, Anthropic/OpenAI APIs, RAG, Tailwind, Jest/Vitest/Cypress, Docker, GitHub Actions Résumé/CV: GitHub: LinkedIn: Email: lazarbukejlovic@icloud.com Full-stack / product engineer, 4+ years shipping production SaaS end to end. I lead a team of 5–6 engineers for an international client. Built operational dashboards used by ~10k monthly users, fixed duplicate-charge and sync bugs at the source with idempotent webhooks, and ship AI features that people can trust (cited evidence, confidence scores, human review queues). Also 3 years of customer-facing technical support, so I'm comfortable owning a problem from the customer report to the fix. Looking for: Product Engineer, Full-Stack, AI Product Engineer or Technical Support Engineer roles at small teams.·Remote

Stealth AI Startup (Funded)·Remote (US) We're building at the intersection of AI and human behavior — think behavioral intelligence at scale. Our platform uses LLMs and proprietary data pipelines to change how the world evaluates trust, identity, and reputation. Not another chatbot. Launching to mass consumer market this year. Team comes from Google +8 more

Talk Machine·Remote (or London, Europe, Dubai) https://talkmachine.com/jobs/engineer https://talkmachine.com/jobs/mobile Hello. I'm the founder of Talk Machine +13 more

Talk Machine·Remote (or London, Berlin, Dubai) https://talkmachine.com/jobs/engineer Hello. I’m the founder of Talk Machine +10 more

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

In The Loop (intheloop.engineering)·Remote (US time zones) We’re a small group of senior engineers who help non‑technical AI founders take fragile MVPs to production‑ready systems. We come in as fractional founding engineers: review code, fix architecture, ship. Hiring: Senior Consulting Engineers (part‑time/contract) Looking for engineers who: - Enjoy advising non‑technical founders - Are comfortable reviewing AI‑generated code (Next.js +11 more

Viewpost·Fully Remote We're a B2B payments platform (VCC, ACH, check) building a multi-tier agent architecture that replaces manual batch workflows with real-time +32 more

Astoria AI·Remote (async)

Surge AI ( )·Full-time

Surge AI ( )·Full-time

*Scribd·US, Canada

Verge Genomics (YC S15)·Remote (US)

Orenva·Remote

Sundogs·Remote EST / CET

Schoolhouse·Remote (US time zones)

Scribd·US, Canada

Surge AI ( )·Full-time

Pelotech·Remote (US Only)·USD 160,000 - 210,000

DrSwarm·Remote (US or LATAM; overlap with US Pacific hours)

Axmed·Remote (preferred Spain, UK, Poland +1 more

Vertex Inc·Full-time

We The Flywheel·Remote (worldwide)

Emergences Labs (emergences.ai)·Remote (US)·USD 120,000 - 150,000

vvd·Remote (work from anywhere)

Dave Evans·Remote

Talk Machine·Remote (or London, Dubai, San Francisco)

Namecoach/Euphonia·SF or Remote·USD 30 - 120 / hour

FitMate·Remote (US)·USD 80 - 120 / hour

Cora AI·Remote (US ONLY, LA or SF a plus)·USD 190,000 - 250,000 / annual

Collective Intelligence Project·Remote (US time zones, PST preferred)

pganalyze·Remote (US)·USD 130,000 - 160,000 / annual

EnsoData·Full-time

Axmed·Remote (preferred CET ±2: Spain, UK, Poland +1 more

Riot IQ·Seattle, WA·USD 90,000 - 180,000

Eleos Technologies ( )·Permanently Remote (US-based applicants only)

Memora·Remote (EU, 4h overlap with CET)

Lokker.com·Remote: North America / Europe, UTC-8 to UTC+2

Ditto·Remote (US: Atlanta, Austin, SF +1 more

Snout·Remote US or Ontario, Canada

Propel Labs·Remote (North America hours)

Lokker.com·Remote: North America / Europe, UTC-8 to UTC+2

Snout·Remote US or Ontario, Canada

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