Find your next shift, anywhere.

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

Jam.dev·Typescript/React

Second Nature·Remote (US)

Privy.pro·Remote (Americas: US or LatAm)

Grafana Labs·100% Remote (US + Canada)

Oscilar.com·Remote (US/Canada/Brazil/Poland/UK)

3ive.ai·EU Remote (Germany preferred)

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

At Tether ( ) we're hiring! We envision a world where technology enables financial freedom, educational empowerment, energy sustainability, and data sovereignty. All of our roles are fully remote, worldwide. Apply now: - Technical Lead (GPU Infrastructure): - DevOps Engineer (QVAC): - Software Architect (Tokenization): - Bare Developer (C / JavaScript): - Backend Developer (Wallets): - Frontend Engineer (QVAC): Research team: - AI Research Engineer (Model Compression & Quantization): - AI Research Engineer (Multi-Modal & Vision): - AI Research Engineer (Multi-Modal Reinforcement Learning): - AI Research Engineer (Agentic Post-training):·Remote

Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [naman@namangupta.dev](mailto:naman@namangupta.dev) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub:·Remote

At Tether ( ) we're hiring! We envision a world where technology enables financial freedom, educational empowerment, energy sustainability, and data sovereignty. All of our roles are fully remote, worldwide. Apply now: - Technical Lead (GPU Infrastructure): - AI Inference Engineer (QVAC): - DevOps Engineer (QVAC): - AI Harness Engineer: - Backend Developer (Wallets): - Technical Content Creator (P2P): - Product Designer (Wallets): - Event Design Coordinator: Research team: - AI Research Engineer (Model Compression & Quantization): - AI Research Engineer (Multi-Modal & Vision): - AI Research Engineer (Multi-Modal Reinforcement Learning): - AI Research Engineer (Agentic Post-training): - AI Research Engineer (Kernel & Inference Optimization):·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

Distru ( )·AI Product Engineer

Starlight·Remote (US), NYC preferred I’m the Head of Engineering at Starlight, and we’re hiring a senior full-stack engineer. We build software that helps financial institutions connect people with government benefits they’re eligible for. More than $100B in benefits go unclaimed every year because the underlying systems are fragmented and difficult to navigate. We’re trying to change that. Our engineering team is intentionally small +9 more

Oscilar.com·Remote (US/Canada/Brazil/Poland/UK)

Oscilar.com·Remote (US/Canada/Poland/UK)

Oscilar.com·Remote (US/Canada/Brazil/Poland/UK)

OpsMill·Europe/US

Decise·Remote (US)

Rising Team·Remote (US, Pacific Time adjacent)

10x Genomics·Remote(US) or Pleasanton, CA

Mobian·Remote US/Global

Miltenyi Biotec·Bergisch Gladbach, Germany

Opendate·Remote (US only)

Twing.AI·Remote (US-friendly timezones) or NYC

Transfyr·Cambridge MA

Onlook ( )·San Francisco or Remote (US)

Renaissance Philanthropy·Remote (worldwide) Renaissance Philanthropy's aim is to activate a virtuous circle of increasing ambition and impact between philanthropists and innovators: by identifying frontier experts both in science and in new ways of solving problems; by tapping into the growing number of emerging philanthropists; and by building multi-sector initiatives that can harness the power of philanthropy, markets, and governments. RenPhil's Engineering Hub supports mission-driven +12 more

YCharts·Full-Time

Republic Services·Remote (US)·USD 175,000

River·SF or NYC or Remote (US, Europe, South America)

Blackshark AI·Full-time

CEF AI (cef.ai)·SF, Berlin (Remote)

Cora AI·Remote (USA only; Bay Area / CA preferred)·USD 150,000 - 200,000 / annual

Cora AI·Remote (USA only; Bay Area / CA preferred)·USD 150,000 - 200,000 / annual

Blackshark AI·Full-time

Blackshark AI·Full-time

Blackshark AI·Full-time

Blackshark AI·Full-time

Prove AI·Remote but must be based in the US

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

Latitude AI·Pittsburgh, Palo Alto, Dearborn +1 more

Blackshark AI·Full-time

Blackshark AI·Full-time

Crew Capable AI·Remote (US Based) Automating order entry for mid-market manufacturers via AI. Working MVP, first enterprise contract pending ($500M company), entering implementation phase. Looking for employee #2 to own technical development and grow into co-founder. What You'll Do: Build ERP/EDI integrations +15 more

Founding Engineer (Security / AI / Distributed Systems) — Stealth Project Next-Gen Secure DePIN x Multi-Agent SLM Trading Platform (Stealth / DM for Proposal) We are building a highly secure, decentralized AI-automated asset management and trading platform running on edge DePIN nodes. The platform utilizes 10 specialized SLMs (Small Language Models) for asynchronous execution. To ensure absolute privacy for institutional and whale traders, we implement a hard-layered defense system. This eliminates the front-running and data-selling risks common in current "free" AI wallets. Tech we use: Cardano/Midnight (ZKP), Estonia UXP, KSI Blockchain, eBPF kernel monitoring, TEE (Intel SGX/AMD SEV), Wasm sandboxing, and NATS/gRPC for low-latency messaging. We are looking for TWO top-tier founding engineers to team up for our upcoming high-value Grant Proposals (Web3 Foundations & Enterprise). One will focus on Security & Infrastructure, and the other on AI & Distributed Systems. Details: - Location: Remote (Global / Target: Eastern Europe, GMT+1 to GMT+3 preferred) - Compensation (Pre-Funding): $150 - $300 setup/consulting fee upfront for a 1-hour alignment call and the legal right to include your profile/CV in our upcoming Grant Proposals. - Compensation (Post-Grant): Once funding is secured, contracted at a premium rate of $100 - $150/hr (Equivalent to a $300k annual salary range). - Benefits / Upside: NO EQUITY DILUTION. Instead, we offer a Milestone-Triggered Revenue Share. Once the platform hits $10,000 in Monthly Gross Revenue, a total of 5% to 10% of Gross Revenue will be distributed directly to the 2 founding engineers every month for 12 consecutive months. - Role: Full-time / Milestone-contract. Apply or request the full proposal document by emailing us at: tai3426g@gmail.com·Remote·USD 300,000

This Dot Labs·Remote This Dot Labs is an AI-native software engineering consultancy with a Remote-first, global team. We help companies design, build +8 more

Kyra Health·Remote (USA) We’re building a national ICHRA platform at the intersection of healthcare, fintech, compliance +8 more

Guilde ( )·Full-Time

Ohr·Remote (US)