mlejva

E2B (https://e2b.dev) | SF/Bay Area/Prague (CZ)/Europe | full-time | [Platform | Security | Distributed Systems | Systems | Frontend | DevRel] Engineer

At E2B, we're building an open-source computer for AI agents. Imagine you want to run 100k claude codes simultaneously, and all spin up in milliseconds.

We're a Series A startup with 8+ figures of annual revenue. We've raised over $37M and have customers that are both exciting new startups (a lot of companies with billboards around SF are our customers and enterprises. We're scaling fast, hiring all over the place, have 5+ years of runway, and a roadmap full of exciting features to build.

If you like solving hard problems, moving fast, and can excel in a bit of chaos, I'd love to chat. Send me your work to vasek[at]e2b.dev.

E2B | SF (US) or Prague (CZ), both on-site | [Platform | Security | Distributed Systems | Sales] Engineer/DevRel Engineer | https://e2b.dev/careers

E2B is an open-source infra devtool that gives AI agents cloud computers that we call sandboxes.

We're Series A startup with 7+ figures revenue. We've raised over $32M and have customers like Perplexity, Hugging Face, Manus, X, MSFT, or Groq. We're growing double digits every month, have 5+ years of runway, and a full roadmap of exciting features to build.

I'd love to chat if you want to help us with some of the scaling challenges, DX, or new products!

Feel free to send me your projects to vasek[at]e2b.dev.

E2B | SF (US) or Prague (CZ), both on-site | [AI | Platform | Systems | Distributed Systems | Customer] Engineer/DevRel Engineer/Head of Engineering | https://e2b.dev/careers

E2B is an open-source infra devtool that gives AI agents cloud computers that we call sandboxes.

We're Series A startup with 7+ figures revenue. We've raised over $32M and have customers like Perplexity, Hugging Face, Manus, or Groq. We're growing double digits (sometimes triple digits) every month, have 5+ years of runway, and a full roadmap of exciting features to build.

I'd love to chat if you want to help us with some of the scaling challenges, DX, or new products!

Feel free to send me your projects to vasek[at]e2b.dev.

E2B | SF (US) or Prague (CZ), both on-site | [AI | Platform | Systems | Distributed Systems | Customer Support] Engineer/DevRel | https://e2b.dev/careers

E2B is an open-source infra devtool that gives AI agents cloud computers that we call sandboxes.

We have revenue, customers like Perplexity, Hugging Face, or Mistral, growing fast, multiple years of runway, and a full roadmap of exciting features to build.

I'd love to chat if you want to help us with some of the scaling challenges, DX, or new products!

Feel free to send me your projects to vasek[at]e2b.dev.

E2B | Distributed Systems/AI/Platform/Systems/DevRel Engineers | Full-time | San Francisco/Prague (in-person only) | $180k - $350k + equity | https://e2b.dev

Hi, I'm Vasek. CEO of E2B (https://e2b.dev). We're building an open-source infra that gives AI agents cloud computers.

We have customers like Perplexity, Mistral, Hugging Face, Rabbit, Manus, and a lot of new exciting startups building in the AI space. We have revenue, are growing double digits MoM, and raised over $11M. We're hiring engineers all over the board to work on our infrastructure, SDKs, AI projects, and user dashboard.

We're a team of 13, the core team is immigrants from Europe that moved to San Francisco. We work from our office in SF and in newly opened office in Prague. Both are in-person. Two technical co-founders that have known each other for 15 years.

We're looking for several roles. You can check out details at e2b.dev/careers

If this sounds interesting to you, shoot me an email at vasek at e2b.dev. We've found some great people on HN before so looking forward to hearing from you!

E2B | Distributed Systems/AI/DevRel Engineers | Full-time | San Francisco/Prague (in-person only) | $100k - $300k + equity (0.1% - 0.3%) | https://e2b.dev

Hi, I'm Vasek. CEO of E2B (https://e2b.dev). We're building an open-source infrastructure for AI code interpreting/code execution in our Sandboxes.

We have customers like Perplexity, Vercel, Hugging Face, You.com, and a lot of new exciting startups building in AI space. We have revenue, are growing, and raised over $11M. We're hiring engineers all over the board to work on our infrastructure, SDKs, AI projects, and user dashboard.

We're a team of 15, the core team is immigrants from Europe that moved to San Francisco. We work from our office in SF and in newly opened office in Prague. Both are in-person. Two technical co-founders that have known each other for 15 years.

We're looking for:

- Distributed systems engineer to work on our infrastructure that's powered by Firecracker and Nomad.

- AI engineer to help us build more opinionated AI codegen tools on top of our sandboxes (think our version of Next.js)

- DevRel engineer to help us inspire more developers by creating mini projects, examples, integrations, and help us with our Discord community.

If this sounds interesting to you, shoot me an email at vasek at e2b.dev. We've found some great people on HN before so looking forward to hearing from you!

E2B | Distributed Systems/Systems/AI/Support Engineers | Full-time | San Francisco (in-person only) | $150k - $400k + equity (0.1% - 1%) | https://e2b.dev

Hi, I'm Vasek. CEO of E2B (https://e2b.dev). We're building an open-source infrastructure for AI code interpreting in our Sandboxes.

We have customers like Perplexity, Vercel, have revenue, growing, and raised over $11M. We're hiring engineers all over the board to work on our infrastructure, SDKs, AI projects, and user dashboard.

We're a team of 9, the core team is immigrants from Europe that moved to San Francisco. We work from our office in SF and in Prague. Both are in-person. Two technical co-founders that have known each other for 15 years.

If this sounds interesting to you, shoot me an email at vasek at e2b.dev. We've found some great people on HN before so looking forward to hearing from you!

E2B | Distributed Systems/Systems/AI/Product Engineers | Full-time | San Francisco (in-person) | $150k - $400k + equity (0.1% - 1%) | https://e2b.dev

Hi, I'm Vasek. CEO of E2B (https://e2b.dev). We're building an open-source infrastructure for AI code interpreting in our Sandboxes.

We have customers like Perplexity, have revenue, growing, and raised over $11M.W e're hiring engineers all over the board to work on our infrastructure, SDKs, AI projects, and user dashboard.

We're a team of 9, the core team is immigrants from Europe that moved to San Francisco. We work from our office in SF. Two technical co-founders that have known each other for 15 years.

If this sounds interesting to you, shoot me an email at vasek at e2b.dev.

We also offer a $10k referral bonus for the distributed systems engineer if we hire the person.

E2B | Distributed Systems/Systems/Product Engineers | Full-time | San Francisco (in-person) | $150k - $250k + equity (0.1% - 1%) | https://e2b.dev

Hi, I'm Vasek. CEO of E2B (https://e2b.dev). We're building an open-source infrastructure for AI code interpreting in our Sandboxes.

We have customers like Perplexity or PGA. We recently closed a $11M round, growing double digits every month (started over 10M of our sandboxes, almost half of that just last month), and are hiring engineers all over the board to build on our infrastructure, SDKs, and user dashboard.

We're a team of 7, the core team is immigrants from Europe that moved to San Francisco. We work from our office in SF. Two technical co-founders that have known each other for 15 years, 3 engineers, 1 devrel, and 1 operations. Check out our careers page to learn more - https://e2b.dev/careers.

If this sounds interesting to you, shoot me an email at vasek at e2b.dev.

We also offer a $10k referral bonus for the distributed systems engineer if we hire the person.

E2B | Distributed Systems, Designer/Frontend, Product, and AI Engineers | Full-time |San Francisco (in-person) | $150k - $250k + equity (0.1% - 1%) | https://e2b.dev

Hi, I'm Vasek [0]. CEO of E2B. We're building an open-source [1] infrastructure for code interpreting in our Sandboxes.

We have customers like Perplexity [2] or PGA. We just closed a $11M round [3], growing double digits every month (started 10M of our sandboxes, almost half of that just last month), and are hiring engineers all over the board to build on our infrastructure, SDKs, and user dashboard.

We're a team of 7, the core team is immigrants from Europe that moved to San Francisco. We work from our office in SF. Two technical co-founders that have known each other for 15 years, 3 engineers, 1 devrel, and 1 operations. Check out our careers page to learn more - https://e2b.dev/careers.

If this sounds interesting to you, shoot me an email at vasek at e2b.dev.

[0] https://x.com/mlejva

[0] https://www.linkedin.com/in/mlejva/

[1] https://e2b.dev/blog/how-perplexity-implemented-advanced-dat...

[2] http://github.com/e2b-dev

[3] https://x.com/mlejva/status/1846568274009698402

[3] https://www.linkedin.com/posts/mlejva_today-im-excited-to-la...

Shameless plug here. We're building exactly this at E2B [0] (I'm the CEO). Sandboxed cloud environments for running AI-generated code. We're fully open-source [1] as well.

[0] https://e2b.dev

[1] https://github.com/e2b-dev

Hello, I'm the CEO of the company that built this - E2B [0]. We're building infrastructure for AI code interpreting. Companies like Perplexity are using us.

We're using Firecrackers [1] to power our sandboxes. Funnily enough, we had this repo sitting on our GitHub for about 6 months. We originally made this for one of our customers because they were running evals on the desktop-like environment with GUI for their model.

You can use PyAutoGUI [2] to control the whole environment programmatically.

The desktop-like environment is based on Linux and Xfce [3] at the moment. We chose Xfce because it's a fast and lightweight environment that's also popular and actively supported. However, this Sandbox template is fully customizable and you can create your own desktop environment.

Let me know if you have any questions.

Btw, we're hiring [4]!

[0] https://e2b.dev

[1] https://github.com/firecracker-microvm/firecracker

[2] https://pyautogui.readthedocs.io/

[3] https://www.xfce.org/

[4] https://e2b.dev/careers

We move faster and genuinely like working in person together

E2B | Systems Engineer & Design Engineer | Full-time | San Francisco (in-person) | $150k - $220k + equity (0.1% - 1%)

Hi, I'm Vasek [0]. CEO of E2B. We're building an open-source [1] cloud runtime for AI agents.

We've been focused on making it easy to run AI-generated code in the cloud securely in our sandboxes (code interpreting). Users have started over 2.5M of our sandboxes (>1.3M last month). Have been growing 30%-60% MoM. We're a team of 6. Two technical co-founders. Have revenue from seed to enterprise companies. Our customers are companies like Perplexity, LandingAI, Intenseye, or Open Interpreter.

We're from all around the world but moving everyone to SF to our office to work in-person. We like people from non-traditional backgrounds.

What will you work on?

- Systems engineer: micro VMs (Firecracker, Cloud Hypervisor), virtualization, Rust, Golang, Terraform

- Design engineer: ownership of docs, user dashboard, smooth onboarding, Nextjs, JS/TS

Interested? Send a quick hi to my email - vasek at e2b.dev

[0] https://x.com/mlejva

[1] http://github.com/e2b-dev

This looks interesting. What are some of the coolest srcbooks you have seen so far?

E2B | Infrastructure, Product, Growth Engineers | Full-time | San Francisco (in-person) | $150k - $220k + equity (0.1% - 1%) | https://e2b.dev

Hi, I'm Vasek [0]. CEO of E2B. We're building an open-source [1] cloud runtime for AI agents.

Users have started over 1.4M of our sandboxes for AI agents and we've been growing 30%-60% MoM. We're a team of 4, have a revenue from seed to enterprise companies and just closed a new round of funding.

Things you'll work on:

- JS & Python SDKs

- CLI (TypeScript)

- Making sure our Firecracker sandboxes start in <100ms (Golang + Rust)

- Scaling our infrastructure to handle next 100M of sandboxes (Golang)

- User dashboard (Next.js)

- Technical open-source examples to inspire other developers

- Bringing E2B self-hosted version to AWS

Interested? Send a quick hi to my email - vasek at e2b.dev

[0] https://x.com/mlejva

[1] http://github.com/e2b-dev

Hey HN, I made this open-source template for building Anthropic's Artifacts UI-like chat apps.

You can use it to run AI-generated Python in headless Jupyter server and also build Next.js apps with it.

Here's the stack I used

- Anthropic's Claude Sonnet 3.5 [0]

- Vercel's AI SDK for calling the LLM [1]

- E2B for running AI-generated code with the Code Interpreter SDK and Sandboxes [2]

- Next.js for the app [3]

Links

[0] https://www.anthropic.com/claude

[1] https://sdk.vercel.ai/docs/introduction

[2] https://e2b.dev & https://github.com/e2b-dev/code-interpreter

[3] https://nextjs.org/

thanks! Sonnet 3.5 is really good for codegen

Hey everyone!

I'm the CEO of the company that built this.

We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2]. We specifically decided to use Firecrackers instead of containers because of their security and ability to do snapshots.

You can think of us as giving small cloud computers to LLMs. We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense

The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4]. We work with an LLM and AI framework. We have different examples on how to use the SDK with Llama models, Anthropic models, LangChain, LangGraph, and more in our cookbook [5].

We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that to our users. We're really just a boring code execution layer that sits at the bottom. We're building for the future software that will be building another software. Our long-term plan is to build an automated AWS for AI apps and agents where AI can build and deploy its own software while giving developers powerful observability into what's happening inside our sandboxes. With everything being open-source. Happy to answer any questions and hear feedback!

[0] https://e2b.dev

[1] https://github.com/e2b-dev

[2] https://github.com/firecracker-microvm/firecracker

[3] https://e2b.dev/docs

[4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...

[5] https://github.com/e2b-dev/e2b-cookbook

Hey everyone! I'm the CEO of the company that built this SDK.

We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2]. We specifically decided to use Firecrackers instead of containers because of their security and ability to do snapshots.

You can think of us as giving small cloud computers to LLMs.

We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense

The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4]. We work with an LLM and AI framework. We have different examples on how to use the SDK with Llama models, Anthropic models, LangChain, LangGraph, and more in our cookbook [5].

We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that to our users. We're really just a boring code execution layer that sits at the bottom. We're building for the future software that will be building another software.

Our long-term plan is to build an automated AWS for AI apps and agents where AI can build and deploy its own software while giving developers powerful observability into what's happening inside our sandboxes. With everything being open-source.

Happy to answer any questions and hear feedback!

[0] https://e2b.dev

[1] https://github.com/e2b-dev

[2] https://github.com/firecracker-microvm/firecracker

[3] https://e2b.dev/docs

[4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...

[5] https://github.com/e2b-dev/e2b-cookbook

E2B | https://e2b.dev | Multiple roles | San Francisco, CA | Full-time | In-person

E2B is building a secure open-source runtime that will power next billion of AI apps & agents.

We found an early traction with making it easy for developers to add [code interpreting](https://github.com/e2b-dev/code-interpreter) to their AI apps with our SDK built on top of our [agentic runtime](https://github.com/e2b-dev/e2b). We have paying customers from seed to enterprise companies.

We're hiring:

- Frontend/Product Engineer

- Infrastructure Engineer

Check the roles here https://e2b.dev/careers

Hey Kyle and congrats to the launch! Riza looks great!

Looks like we're building in the same space. I'm Vasek, co-founder of E2B [0]. We recently launched our Code Interpreter SDK [1].

We think safe code execution for AI generated code has a big future potential. I'd love to chat some time if you're up to it! Maybe there's a way we could join forces and build something great.

[0] https://e2b.dev/

[1] https://github.com/e2b-dev/code-interpreter

We'll have nice and easy support for self-hosting soon-ish.

In the meantime, everything is open-source and the infra is codified with Terraform. GCP should have the best support now. If you want to dig into it, we'd love to give you support along the road so we can improve the process.

Our infra repo [0] is a good place to start. Once you have E2B deployed, you can just change E2B_DOMAIN env var and use our SDK.

Feel free to email me, join our Discord, or open an issue if you have any questions

[0] https://github.com/e2b-dev/infra

The core E2B SDK [0] can run almost any language through custom sandboxes [1]. We have users running for example R.

The code interpreter SDK [2] that's using our core SDK supports only Python for now but we plan to support more languages. What languages would you like us to support?

[0] https://e2b.dev/docs/sandbox/api/process

[1] https://e2b.dev/docs/sandbox/templates/overview

[2] https://github.com/e2b-dev/code-interpreter

Thanks, James! We should record a video on code interpreter when you're around!

Thank you. Totally agree! Another interesting feature of code interpreting is that it improves the reasoning of LLMs

Very cool project! I like that you support REST API. That's something we don't have yet. We actively decided to use Firecracker microVMs [0] instead of containers for hardened security.

making sure someone doesn’t use your infrastructure to DDOS other folks Agreed. And crypto mining!

The pain point of all of this is dependencies Would love to learn more. Can you elaborate?

Another challenge is how to make the whole product cost efficient for our users. You don't want them to pay for idle sandboxes running on E2B but only when they actually need them for serverless execution. Firecracker and its snapshots are really helpful with this.

[0] https://github.com/firecracker-microvm/firecracker

Thank you Juraj!

Hey everyone! I'm the CEO of the company that built this SDK.

We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2]. We specifically decided to use Firecrackers instead of containers because of their security and ability to do snapshots.

You can think of us as giving small cloud computers to LLMs.

We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense

The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4]. Here's how we added code interpreter to the new Llama-3 models [5].

We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that to our users. We're really just a boring code execution layer that sits at the bottom. We're building for the future software that will be building another software.

Our long-term plan is to build an automated AWS for AI apps and agents where AI can build and deploy its own software while giving developers powerful observability into what's happening inside our sandboxes. With everything being open-source.

Happy to answer any questions and hear feedback!

[0] https://e2b.dev/

[1] https://github.com/e2b-dev

[2] https://github.com/firecracker-microvm/firecracker

[3] https://e2b.dev/docs

[4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...

[5] https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/l...

Hi, I'm the CEO of the company that built this SDK.

We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2].

You can think of us as giving small cloud computers to LLMs.

We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense

The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4].

We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that on users. We're really just a boring code execution layer that sats at the bottom that we're building specifically for the future software that will be building another software. We work with any LLM. Here's how we added code interpreter to Claude [5].

Our long-term plan is to build an automated AWS for AI apps and agents.

Happy to answer any questions and hear feedback!

[0] https://e2b.dev/

[1] https://github.com/e2b-dev

[2] https://github.com/firecracker-microvm/firecracker

[3] https://e2b.dev/docs

[4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...

[5] https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/c...