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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

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

GetFast·Bay Area / Remote We're on a mission to simplify running through wearables data. We're a small team of runners who love to build. We're looking for a founding engineer to shape the future of our product and company. You’ll work across the stack–from building reliable, scalable systems to rapidly prototyping and launching new user-facing features. You’ll have significant ownership and influence on architecture, product direction +1 more

Analogy Group·Remote Analogy Group is an early-stage startup building AI-enabled political intelligence tools. We ingest data from across the news, web, and social media and create in-depth reports and visualizations. We are mission-driven +6 more·USD 30 - 60 / hour

NeverBlink·Remote (EU) We are building a HuggingFace / npm for ontologies. Ontologies are what gives data meaning. We are looking for people to get this tech into the hands of as many devs in AI & data as possible. You don't need to know what are ontologies, we can teach you that. Some background in agents or analytics preferred. Apply if you like working with OSS communities, technical writing +2 more

CareIgnition·Remote, Chicago (US Only) Medical billing in America is a black box of fragmented data and inefficiency. At CareIgnition, we are building the transparency layer for healthcare. We transform massive +11 more

CareIgnition·Remote, Chicago (US Only) Medical billing in America is a black box of fragmented data and inefficiency. At CareIgnition, we are building the transparency layer for healthcare. We transform massive +11 more

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

Turquoise·Remote, USA Turquoise a series C healthtech company is recruiting for two platform engineers to join the newly created platform operations team. You can expect to work closely with our Data Engineering team based in Europe, drive observability +1 more

xdof·SF Bay preferred, NYC & Remote possible for non-robotics roles At xdof, we're at an inflection point. Frontier labs are racing to build general-purpose robots +10 more

SingleStore·Full Time, Remote India SingleStore is a distributed SQL database built for high-performance transactional and real-time analytical workloads. As data systems evolve, we’re building the platform for AI applications that operate directly over enterprise data +22 more

Third Iron·Remote (US) Do you want to help scientists, doctors, and historians discover breakthroughs? Join our small +23 more

Palace Cybersecurity·New York or US Remote Palace Cybersecurity secures large organizations from employees abusing cloud access privileges (Google Workspace, Microsoft SharePoint, Snowflake). We are commercializing Facade +9 more

Squoosh.AI·https://squoosh.ai We build AI systems that simulate how people explore digital experiences, helping commerce teams evaluate and improve websites. We're hiring for two roles: Full-Stack Engineer — $90k–150k USD/year. Own features across the UI, APIs +16 more

Vitalize·Remote (US, SF in-person preferred) What we do: We're a Series A, ~50 person company building the operating system for hospital labor and capacity. Hospitals today manually forecast patient volumes and staff reactively—losing efficiency +7 more

Coinomi·Remote (EU timezones) We are the oldest multi-currency wallet, giving users full control of their private keys and access to hundreds assets. We are looking to modernise and scale our infrastructure. Job Requirements: - Provision and manage bare metal servers - Migrate existing infrastructure to improved setup - Build monitoring systems for server infrastructure - Implement backup and recovery procedures - Create automation scripts for server and node management - Upgrade legacy Docker containers and optimise resource usage Required Skills: - Extensive bare metal server management experience - Deep Linux/Unix systems administration - Strong scripting abilities (Bash, Python) - Proficient in Ansible for configuration management - Knowledge of distributed systems and high availability design - Docker experience with legacy system upgrades - Security-focused server management approach - Experience with data backup and recovery procedures Preferred Experience: - Server monitoring tools (Prometheus +1 more

ELDRICK ( )·Remote (US preferred) ELDRICK is building the world’s fastest-growing AI golf club fitter. We recently launched our beta & fittings are growing quickly. We now need an ML Engineer who golfs to fine-tune our existing model for best-in-class fittings. Non-golfers will not be considered. You’ll: - Fine-tune and optimize our current ML model for accuracy + trust - Work with swing/ball data (club speed, ball speed, spin +3 more

ClickHouse·Remote Hiring in the US right now. Seniors/Staff/Principal levels ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse. I am hiring for AutoScaling as well as Distributed Cache Production Engineer Roles What we are looking for: Distributed Systems / Cloud Engineers to build - AutoScaling Systems for a Cloud Database - A Distributed Caching Layer on top of S3 [0] If you have experience in productionising cloud-based multi-tenant caches - you would fit right in. We also maintain our own ClickHouse-based Data Infrastructure. Bonus points if you've worked on auto-scaling or other data-driven forecasting challenges in the past. Can work in a fast moving scale-up environment. Proactive and hands on. You must be independent and self-organized. Go +6 more

ClickHouse·Remote Hiring in the US right now. Seniors/Staff/Principal levels. ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse. What we are looking for: Distributed Systems / Cloud Engineers to build the AutoScaling Systems for a Cloud Database. We also maintain our own ClickHouse-based Data Infrastructure. Bonus points if you've worked on auto-scaling or other data-driven forecasting challenges in the past. Can work in an early stage startup environment. Proactive and hands on. You must be independent and self-organized. Good at Go +5 more

ClickHouse·Remote Hiring in the US right now. Seniors/Staff/Principal levels. ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse. What we are looking for: Distributed Systems / Cloud Engineers to build the AutoScaling Systems for a Cloud Database. We also maintain our own ClickHouse-based Data Infrastructure. Bonus points if you've worked on auto-scaling or other data-driven forecasting challenges in the past. Can work in an early stage startup environment. Proactive and hands on. You must be independent and self-organized. Good at Go +5 more

Prompt Health·Remote (US) Prompt Health is a fast-growing Healthcare SaaS company with over $100M in ARR, growing 100%+ YoY. We build software used by large healthcare organizations to operate more efficiently and deliver better patient care. We ship hundreds of features and products each year with a small, highly collaborative engineering and product team. Engineers have real ownership +36 more

Prompt Health·Remote (US) Prompt Health is a fast-growing Healthcare SaaS company with over $100M in ARR, growing 100%+ YoY. We build software used by large healthcare organizations to operate more efficiently and deliver better patient care. We ship hundreds of features and products each year with a small, highly collaborative engineering and product team. Engineers have real ownership +47 more

Third Iron·Remote (US) Do you want to develop software that helps scientists, doctors, and historians discover breakthroughs? Join our small +21 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

Legion Intelligence·Remote (US) Legion is building a platform for governed agentic AI, primarily for government customers. Legion has interesting engineering challenges ahead of us, and we are looking for backend engineers who are interested in solving them. Our customers run our full platform both in their data center and on their laptop. The network conditions our platform operate in will vary. Our platform needs to meet these challenges. Stack: Rust +5 more

Octane·Remote (US only) Octane is the #1 Powersports lender in the US and has expanded into other verticals, such as RVs, marine vehicles +6 more

Scite (scite.ai)·Remote (US) We build AI-powered tools that help researchers and organizations make sense of the scientific literature. Small team, hard problems, real momentum. Our MCP server just launched +34 more

Relevant Healthcare·Remote (US)

Relevant Healthcare·Remote (US/Canada)

Kadoa·Remote

Relevant Healthcare·Remote (US/Canada only)

Lucia·Remote

Charted Sea·Remote·USD 40,000 - 80,000

Kernel Intelligence·Remote (US)

Relevant Healthcare·Remote (US/Canada only)

Kadoa·Remote

Numtide·Full-time

Tenzir·Remote (EU Timezones)

Lucia·Remote

Odin·Remote (US)

OpsMill·Europe/US

Trax·Remote CST (Philippines, Costa Rica, US)

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

CEF AI·Full Time

Prove AI·Fully Remote

Newtwen·Remote (EU)

Product Genius·Remote (US)

CEF AI (cef.ai)·SF, Berlin (Remote)

QuestDB·Remote

CEF AI·Full Time