At Friendly Captcha we do one thing and we do it well: we protect websites from malicious actors and bots.

We provide privacy-friendly and accessible anti-bot solutions that don’t annoy users with tasks like clicking fire hydrants. We make the internet a bit better every day by winning over customers currently using Google reCAPTCHA.

We’re a growing, profitable, fully bootstrapped company. Our revenue mostly comes from medium to large European enterprise and governments.

We’re looking for an engineer whose focus will be on using data to improve our bot detection and protection. Telling apart bots from genuine users is vital to our product.

If possible, we prefer to keep things simple (perhaps boring is the right word even?) - choosing an if/else rule over a neural network. Good knowledge of the web is always useful in this company. At our scale we are looking for generalists more than specialists.

Our engineering team is fully remote across Europe, we meet up in person a few times per year. You can work either 4 or 5 days per week, fully remote or (partially) from our Munich office. Please note that we ONLY consider candidates located within the EU/UK/EEA/Switzerland.

Stack: Golang | Typescript | Clickhouse | Postgres | Redis | Python data science stack

Form with more information: https://friendlycaptcha.jobs.personio.com/job/2207852

Verition is a ~$13b global hedgefund and I am hiring a software engineer to build greenfield genAI unstructured data and NLP pipelines.

You will: - Prototype SOTA papers and methods focused on hybrid search embeddings pipelines of unstructured data - Own infrastructure, focus on drift metrics, eval harnesses and experiments. Zero legacy code. - Collaborate daily with a portfolio manager who codes in python and spent the past two years running a software startup focused on unstructured transcription pipelines

You are - Curious, eval and experiment oriented, and like to ship. Finance knowledge is NOT required. - 2-5 year SWE or fresh PhD who has shipped real systems and code in production - Fluent in python and the typical LLM API tooling frameworks. AWS experience a plus.

You will be embedded in the team with potential to be directly tied to P&L generation.

Apply: https://www.verition.com/open-positions?gh_jid=4767460007&gh...

I’m the Director of Engineering at Pave, a rapidly growing startup revolutionizing financial access for underserved consumers and small businesses through AI-powered Cashflow Analytics and Scores. 50+ risk teams use Pave to reduce defaults, provide the optimal loan amount/credit limit, and maximize collections success.

- We’re hiring a Backend Engineer to scale our data processing platform to 100M+ users: https://wellfound.com/l/2BmPpa

- We’re hiring a Data Scientist to ship models that will redefine the US credit system, making it fair and inclusive: https://wellfound.com/l/2AqFf9

Shoot us an email at howdy@pave.dev and let us know you found us on HN!

Pave is backed by Better Tomorrow, Bessemer, 8VC, and other top funds and angels from Coinbase, Chime, SoFi, CashApp, and Plaid.

We're building the future of cloud access management - helping companies achieve Zero Standing Privileges through just-in-time access and intelligent entitlement management.

What you'll work on:

- Build intelligent scheduling engines that orchestrate just-in-time access across thousands of cloud resources

- Design AI-powered systems that help customers intelligently request and review access across AWS, GCP, Azure, and SaaS platforms

- Create scalable integration pipelines using durable functions to connect with dozens of cloud providers and enterprise tools

- Develop next-generation data models that map complex permission relationships across multi-cloud environments

- Work with AI coding agents to accelerate development and ship features faster

What we're looking for:

- Strong Python experience (FastAPI is a plus)

- Experience with data modeling and building complex ELT pipelines at scale

- Postgres experience and familiarity with BigQuery

- API design and development expertise

- Comfort with cloud platforms and Identity and Access Management concepts

- Data lake architectures experience is a plus

Reach out to careers@trustle.com

PermitFlow’s mission is to streamline and simplify construction permitting in the $1.6 trillion United States construction market. Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring.

We’ve raised a $31m Series A led by Kleiner Perkins with participation from Initialized Capital, Y Combinator, Felicis Ventures, Altos Ventures, and the founders and executives from Zillow, PlanGrid, Thumbtack, Bluebeam, Uber, Procore, and more.

Permitting is a challenging yet interesting problem; thousands of municipalities across the United States have their own processes and requirements - many which are continually updating. Software, AI, and LLMs provide an exciting opportunity for us to reason at scale and distill a nuanced and localized permitting process into a standard and streamlined experience for our customers.

We're looking for customer-obsessed, ambitious, and hard-working teammates who are excited about solving a real-world problem with technology at its helm.

NYC Onsite Roles | apply at: https://jobs.ashbyhq.com/permitflow?departmentId=d33195eb-89...

1. Staff Software Engineer - $200K-275K + equity

2. Fullstack Software Engineer - $125-240K + equity

3. Senior Frontend Engineer - $125K-240K + equity

https://permitflow.com/hiring

Datadog is a monitoring, tracing, logs system, and more, for your infrastructure and services. We build our own tsdb, event store [1][2], distributed tracing tools, cutting edge visualizations, and more. We love shipping great experiences for customers just like us and are growing fast! We write a lot of Go, Java, Python, Typescript (with React), and a bit of other languages. We run on k8s, and are multi-region and multi-cloud.

We're looking for people who can build systems at scale as we process trillions of events per day. Let us know if that's you!

https://dtdg.co/hnwhoshiring

[1] https://www.datadoghq.com/blog/engineering/introducing-husky

[2] https://www.datadoghq.com/blog/engineering/husky-deep-dive

About Lumafield: Lumafield was founded in 2019 to upgrade manufacturing by making the most advanced tools more accessible. Our AI-driven platform and industrial CT scanning technology give engineers unprecedented visibility into their products, helping them make better decisions, faster. We’re headquartered in Cambridge, MA, with an office in San Francisco, CA. Lumafield is building the future of manufacturing through deeper insights, greater autonomy, and continuous innovation.

We recently raised our Series C funding of $75 million, further accelerating our mission to revolutionize manufacturing.

Open Roles: Backend Software Engineer (SF Bay Area) | Research Engineer (Greater Boston Area) | DevOps Engineer (SF Bay Area) | IT Specialist (SF Bay Area) | UX Designer (SF Bay Area)

Don't see a role you're looking for? Visit our careers page (https://www.lumafield.com/careers) and send us a message!

We are Deyan7. We build leading AI solutions.

Join our tech-savvy team and create solutions for generative AI and ChatGPT. We have implemented projects in areas such as fire protection, tax law, education, and medical devices using the latest language models. We develop AI co-pilots for engineers, AI coaches for schoolchildren, and suggestion systems for technical writers. We draw on decades of experience in software development for German global leaders. We see the potential of the technology, are curious about the next developments, and proud of what we are building.

As a Full Stack AI Engineer, you ideally should have fun to: - experiment with genAI, LLMs and different retrieval technologies - build suiting Frontends - build Backends that bridge the gap between Frontend and the ML parts.

You will be working closely with other devs and our customers, with the possibility to actively influence the direction of the project and to introduce new technology or approaches. Your project increment will always be working software that is really used and needed. Here´s the catch: our customers are mostly German, hence the data is primarily German and therefore the output of our LLM inferences is German. So, be ready to use German at a C1 level at least! Additionally, our working setup is currently not capable of handling any other time offsets than +- 3 hours from our local time (CET/CEST).

Here is our job description: https://deyan7.de/full-stack-ai-engineer-softwareentwickler-... Drop us a line and make the world more productive with us!

More Optimal provides a low-code environment specifically aimed at Operations Researchers who use our platform to solve the most difficult planning and optimization challenges in the world. For our R&D department we are looking for an engineer who is enthusiastic about working on a complex system, solving puzzles and loves complex programming challenges, to make More Optimal even more loved by our customers as well as implementation partners.

In our R&D team you will be able to work on a very diverse combination of problems depending on your preferences: frontend, backend, advanced algorithms and infrastructure. We are a fast-growing company where you can make a real impact quickly.

Tech stack: TS/JS (primarily), Java/Kotlin, Python, Go, Rust, GCP

For now, we're only considering candidates who already have a connection to the Netherlands (e.g., those who have worked, studied, or lived here previously). Feel free to contact me directly (timo@moreoptimal.com) if you have any questions about the job opening.

“The hardest thing in the world to understand is income taxes” - Albert Einstein

Column Tax is the fastest growing tax e-filer of all time having filed over 1,000,000 tax returns in the last few years. Our mission is to make society’s financial contract automatic and fair starting with making it so every taxpayer can file confidently in one-click. No more predatory tax-filing experiences!

Check out Iris, our AI tax development agent, that is able to understand tax law, turn it into software code, and test itself to achieve correctness: https://www.columntax.com/blog/introducing-iris-our-ai-tax-d...

Roles: Software Engineer (Applied AI), Software Engineer (Full-stack), Software Engineer (Infrastructure)

Apply at: https://jobs.columntax.com/