Prove AI| AI Management start up| Fully Remote | Full time (B2b or employed if in US, UK or Switzerland)| Seeking Full Stack and Senior Full Stack Developers

Prove AI is an AI management platform that helps organizations centralize and manage their AI models while maintaining strict oversight of data access and usage. Built on distributed ledger technology, Prove AI provides tamper-proof oversight, ensuring organizations can set and enforce guardrails to mitigate risk and optimize AI performance.

This is a hands-on engineering role for someone excited about crafting production-grade software, solving complex problems, and contributing to a high-performing product and engineering team. As a Full Stack Developer you will work across the stack—primarily using TypeScript, React, and Node.js—with opportunities to contribute to both backend systems and frontend interfaces. While the role values frontend capability, strong backend engineering experience is essential to support our API layer, data processing, and system integrations.

To apply please apply directly via this link https://proveai.careers.hibob.com/jobs/1a652b22-bdf9-438a-a9... (please ignore location as we are fully remote and will accept applications from any location or contact Richard Morrow - Email is hidden

Stealth Solar Tech Startup | Remote (EU-friendly) | Full-time or Contract

We are a well-funded stealth startup building a B2C platform to radically reform the U.S. residential solar industry. Our mission is to combat pervasive consumer distrust and inefficiencies by empowering homeowners with a transparent, high-fidelity, and interactive 3D solar design tool. We are a small, dedicated team working closely with an established industry partner for rapid, real-world testing and iteration.

We are looking for a Senior 2D/3D Computer Vision Engineer to build the core technology that makes our platform possible. The central challenge is to automatically generate clean, geometrically accurate, and simplified 3D roof models from raw aerial Digital Surface Models (DSM) and RGB data. Your work will be the foundation of our user experience, replacing the opaque and slow manual processes that dominate the solar industry today.

As the owner of this domain, you will ideally:

• Define the Process: Take charge of the entire ML pipeline, from R&D to production. This includes refining the annotation process and enhancing our existing Three.js-based 3D annotation tool to build a high-quality, large-scale dataset.

• Build the Models: Research, develop, and train a suite of models to handle roofprint segmentation, structured prediction of planar roof wireframes from point clouds, and detection/classification of roof obstructions (chimneys, pipes, windows, etc.).

• Ship to Production: Engineer a scalable and robust inference pipeline that can process new properties on demand.

Our stack is Python, PyTorch, FastAPI, Rasterio/GDAL, and JavaScript/Three.js for the annotation tool. We are looking for a pragmatic and experienced engineer who loves tackling complex 3D vision problems. You should be comfortable with both 2D and 3D data (especially point clouds and geospatial imagery) and have a proven track record of delivering end-to-end ML solutions.

To apply, please email Email is hidden.

Polar Sky | Founding AI Lead | Bay Area/Seattle | Hybrid/Onsite | Full-time

We're a well-funded, pre-seed cybersecurity startup focused on data security. I'm looking for a founding AI lead with experience in fine-tuning LLMs (expertise around RL + reasoning models a big plus). This person would own the full AI stack from data to training to eval to test-time compute.

Who's a good fit:

* If you've always thought about starting a company, but for whatever reason (funding, life, idea), this is a great opportunity to be part of the founding team. We're 2 people right now.

* You enjoy understanding customer problems and their use cases, and then figuring out the best solution (sometimes technical, sometimes not) to their problems.

* You want to help figure out what a company looks like in this AI era.

* You enjoy teaching and sharing knowledge.

Questions, interest, just email Email is hidden.

EAGL | Ghent, Belgium | Onsite | Full-Time

EAGL is a fintech startup that unifies controlling and accounting with AI-powered agents that automate close processes, flag anomalies, and clean P&L so finance teams can focus on strategy, not spreadsheets.

https://www.geteagl.com Email is hidden

We're looking for full-stack (Frontend, Backend, AI) profiles that want to dive into the fintech world. Node, react, postgres, ...

Stile Education | Melbourne, Australia | Hybrid/Onsite | Full-Time https://stileeducation.com/au/who-we-are/engineering-at-stil...

We're high-performing, diverse, tight-knit team with a mission to radically improve mainstream science and maths education at schools. By creating the best lessons in the world, coupled with intuitive tools that allow teachers to take advantage of the latest pedagogies, we’ve already helped millions of students in Australia get excited about science and maths.

45% of Australian science students in years 7-10 use Stile. Help us scale from 500k to more than 5 million students across Australia and the US over the next two years!

We now have offices in Melbourne, Boston, Portland and more! We're primarily hiring in Melbourne (relocation assistance and visa sponsorship available), but there will be lots of travel opportunities.

We're looking for a bunch of new roles right now (not all on our jobs site yet; please reach out if you're interested even if you don't seem to fit a specific role!):

- Engineering manager - Full Stack Staff Engineer - Platform engineer - ML/AI engineer - Automation engineer - Principal+ engineer - Frontend engineer

iGent AI | Senior/Staff Engineers | London, UK (Hybrid, 3 days/week) | Full-time | https://igent.ai

Hi! Co-founder of iGent AI here. We build agentic systems for large-scale, industrial projects, and an agentic cloud.

Proof: our agent built a Redis-compatible database in Rust, with no human coding, in 70 man-hours – see https://www.igent.ai/insights/production-database-server

Why join:

* Small, senior team: ex-DeepMind, OpenAI, Microsoft Research, Amazon, and Cambridge University

* Hard problems across distributed systems, OS/sandboxing, ML and LLM inference/post‑training. Real users; ship to prod.

* Big Tech salary + options.

Open roles (all Senior/Staff; hands-on):

• Full-Stack - design and build the new agentic interface, with top designer • Agent Infrastructure - branching sandboxes, filesystems, orchestration, observability • Backend / Eng Lead - build cloud from first principles; distribution, sync, load-balancing, events • LLM inference & post-training - long context tech, RL, vLLM, performance • Devrel & GTM – live-developing, tutorials, OSS/community, hackathons - drive adoption You might be a fit if you have:

- 5+ years building and operating production systems (or exceptional evidence).

- Own 0→1 projects; comfortable reading & generating lots of code.

- Public work (OSS/papers/blogs/products) or strong portfolio.

Apply! https://www.igent.ai/join-us

Phrasing | https://phrasing.app | EU Remote | Co-founder

Phrasing is the best way to learn and maintain multiple languages [1]. With support for over 120 languages, science-based methodologies, and a beautiful custom built UI, Phrasing make’s it easier than ever to learn a language… or 10.

Phrasing is built with Elixir on the backend (lots of Broadway, FLAME, Nx and Scholar) with a ClojureScript front end. Everything is stored in a single Postgres database hosted with neon. I’m moving some code to a commons library, with the end goal of using Clojure as an isomorphic solution to run the same code on web, server, and mobile (<1% of the codebase, just the critical logic). The front-end is moving from Reagent+React to HSX+Preact+Preact Signals, although that’s going to be a long and slow migration.

Phrasing is my attempt to do something different [2], from both a product and a business perspective. No investments, no hyper scaling, no growth hacking — just tripling down on building the most effective application to learn a language.

Phrasing is launched, live, has some DAUs and MRR. However, long ago I’ve reached the limit of what one developer can do. I’m looking for someone to

- come on board and take over the entire Elixir codebase - watch the Broadway Pipelines, and not sleep if there are any failing checkpoints - optimize request times, reduce database pressure, and speed up extraction times - work with me to restructure things to reduce costs/complexity - work towards training novel embedding spaces, custom classic ML/NLP models, and long term algorithmic improvements to the SRS [3] - see this as a fun challenge, and have enough ownership of the product that I can focus on some user facing developments [4] Please note, I’m not looking to hire an engineer to work a 9-5, and I am in no hurry to hire someone soon. I’m looking for a co-founder to come on board, take ownership and accelerate the product. The product is built, working, and growing organically. While there is some MRR, the position will be rev-share & equity focused until the business produces enough for full salaries.

To apply, please send an introduction hn at phrasing dot app. I will not be interviewing until the 12th of September, and no priority will be given to earlier or later applicants, so there is no rush. A sincere, well-written introduction is your best way to get an interview. No experience is required for this role, so long as you’re competent and hungry.

[1] https://phrasing.app/blog/multiple-languages [2] https://phrasing.app/blog/mission [3] https://phrasing.app/blog/humane-srs [4] https://phrasing.app/blog/a-dream-of-three-vector-spaces [5] https://x.com/barrelltech [6] https://reddit.com/u/phrasingapp

Coachcube | https://coachcube.ai | Mid to Senior ML Engineer and CV Engineer | Onsite London

Coachcube is new gym product providing a virtual PT service. We have an experienced senior leadership team and are building a hardware/software product using digital motors, camera vision and ML to design a next-generation weight-lifting product. If you like fitness and ML, reach out for a chat!

The ideal candidate:

- Can ship quickly - Highly inquisitive but also motivated to deliver - Comfortable moving across domains - Understands fitness/weight lifting - Up for a challenge Tech Stack: Go, AWS, Unity, Python, Claude Code

email: Email is hidden

Stream | Multiple Positions | Amsterdam (NL), Skopje (Macedonia) | Boulder, CO (US) | Toronto (Canada)) | Remote possible | Full Time | Visa Sponsorship

We are consistently hiring backend engineers ranging from Senior level to Staff / Lead / Director / Principal Go engineers.

If you have experience with a different tech stack, we offer a 10-week onboarding program to train you in Go, scaling and other key topics: https://tinyurl.com/2u5x9f9w

We’re also hiring for:

* Staff Python Engineer – Open Source Video/Voice AI Library

* Senior React Native SDK Engineer

* Staff Product Designer

* WebRTC SFU Engineer

* Director of Information Security

At Stream, we use Go for our video SFU, chat API, Moderation and Feeds, serving high traffic from major apps like Strava, Nextdoor, Patreon, and Midjourney. Our tech stack: Go, CockroachDB, RocksDB, WebRTC, Raft, and Redis.

Why Join Stream?

* High scale/ difficult engineering, we have customers using our products with millions of users

* Default alive. Startup growth opportunity with healthy revenue

* All managers are hands-on and capable engineers

* Edge network of servers around the world

* Great opportunity to learn and grow

Remote: our roles are primarily NL, US, or CA-based (hybrid), but exemptions for remote work within the EU may apply to specific cases.

Visa Sponsorship: Available for the Netherlands

Apply here: https://jobs.ashbyhq.com/stream?utm_source=5rrpvobp3r

V7 | www.v7labs.com | London or New York | Hybrid

_______

Growth Hacker - https://bit.ly/41wpdmh

* You're not just a growth marketer. You’re a full-stack creative operator. * You’ve probably done things like:

* Run playbooks that didn’t exist yet * Gotten products featured on Times Square billboards and Reddit threads * Built shareable mini-tools that turned into full-on acquisition channels * Sent physical mailers that turned into million-dollar pipeline * Landed your company on 10+ podcasts in a quarter * Have taken a product from 0–1m+ MAUs or scaled growth to $5m–$20m ARR * Built acquisition loops from scratch * Know how to make technical content go viral * Are a creative thinker with deep operational range * Can juggle many ideas, experiments, and channels at once

____________

AI Engineer (Building Agents Product) - https://bit.ly/3hwgici

* Build LLM agents for document understanding, search, and image recognition that go from prototype to production fast

* Write clean, tested Python code that scales—no research papers, just working AI features

* Collaborate with AI and product teams to iterate on solutions that customers actually use