We are hiring two Product Engineers to join us in our newly opened office in SF. We're small and early and you'll help shape team culture.

Kinelo solves "context myopia": autonomous and semi-autonomous AI agents don't know what they don't know, so they can't search or find the background information required to accomplish tasks accurately and effectively. The result looks like slop but it's not due to model performance, more due to workflow integration. From there, we're rapidly moving into organizing humans together with autonomous "AI coworkers" into workflows that span both. Our goal is to change how organizations are run and structured.

Our #1 hiring criteria for this position is immense software wisdom, the kind not yet encoded in the weights of an LLM. We are not looking for artisans to meticulously craft single lines of code. We're looking for software engineers excited to use the leverage that AI offers for code production to permit focus on higher order technical architecture, product requirements, and user needs.

We're looking for enough experience that indicates accumulated wisdom in shipping and maintaining reliable, scalable software, solid CS fundamentals, experience taking products from 0 to 1, and versatility.

Our current tech stack includes TypeScript, a managed container service, Postgres, and Redis. But we are adaptive and you should be too. We highly value software engineering and computer science fundamentals and experience with other languages like Go, C++, Python is valued.

Competitive salary, meaningful (~first batch of hires) equity, founder previously exited to Apple, strong fundraising history (~$10m).

Please email us at jobs@kinelo.com. If you want to stand out, tell us how you think the job of a software engineer is changing. There's also a full JD here: https://job-boards.greenhouse.io/kinelo/jobs/4205846009

In my own team, I have seen ICs increasingly function like engineering managers, and even suffer some of the pitfalls of the role switch, as they change from reasoning about creating code to delegating to teams of software agents.

Increasingly, ICs are needing to understand the product roadmap more deeply, figure out how to spec a problem and constraints on a solution in the right way to get their subordinates to produce reasonable output, and be the communication bridge between other jobs functions and the entities actually producing the code.

I've also heard concerns of skill atrophy, as these team members spend less brain energy on language syntax, low level logic, etc, and more on interpreting abstract strategies to solving a problem and pattern matching those strategies against their software engineering wisdom.

If anything, ICs should consider that the skills that will make them successful managing agents might be the ones that have made first-level engineering managers successful: the ability to coordinate with other job functions, map implementation strategies to product and organization needs, and deliberately and carefully delegate and coordinate work of others writing the actual code.

It's hard to predict how quickly it will be solved and by whom first, but this appears to be a software engineering problem solvable through effort and resources and time, not a fundamental physical law that must be circumvented like a physical sciences problem. Betting it won't be solved enough to have an impact on the work of today relatively quickly is betting against substantial resources and investment.

Kinelo manages the new type of hybrid team that will emerge in the future: humans+AI working shoulder-to-“shoulder”.

Our first product helps human software engineering teams deliver more efficiently and more reliably by assisting in coordination and engineering management. But it’s built on a foundational layer that ingests data, knowledge, and process across communications and systems, exposing that to humans and AI alike.

Eventually, Kinelo will become a proper human+AI orchestration layer, managing entire companies, and our goal is to have Kinelo run Kinelo (we already dogfood it today).

We’re looking for high ownership individuals to join our small team and shape its direction. We also just opened a new SF office and new hires will have the ability to help shape company culture, engineering practices, architecture, and roadmap.

We’re well-funded (just raised another round), founded by a serial founder, anti-bureaucratic, and highly technical.

We’re looking for:

- Those who want to go 0 to 1 with high ownership: moving features and products from idea on a napkin, to prototype, to engineering UI, to shipped and polished product

- ~8 years professional experience, including the pre-LLM days with strong CS fundamentals

- A balance of wisdom from experience and optimism about the future

- Strong TypeScript and Postgres (or other RDBMS) experience at scale and with high reliability (SaaS apps, APIs, etc)

- Experience with a variety of technologies, including containerization, distributed systems, and at least one strongly typed programming language (Go, C++, Java, etc)

- Ideally experience with ML and AI systems (though expertise in ML, data science, etc is not needed for this role)

We can’t sponsor visas but relocation assistance to SF is possible.

Please apply here: https://job-boards.greenhouse.io/kinelo/jobs/4088659009 and also email jobs@kinelo.com, mentioning this post.

Kinelo manages the new type of hybrid team that will emerge in the future: humans+AI working shoulder-to-“shoulder”.

Our first product helps human software engineering teams deliver more efficiently and more reliably by assisting in coordination and engineering management. But it’s built on a foundational layer that ingests data, knowledge, and process across communications and systems, exposing that to humans and AI alike.

Eventually, Kinelo will become a proper human+AI orchestration layer, managing entire companies, and our goal is to have Kinelo run Kinelo (we already dogfood it today).

We’re looking for high ownership individuals to join our small team and shape its direction. We also just opened a new SF office and new hires will have the ability to help shape company culture, engineering practices, architecture, and roadmap.

We’re well-funded (just raised another round), founded by a serial founder, anti-bureaucratic, and highly technical.

We’re looking for:

- Those who want to go 0 to 1 with high ownership: moving features and products from idea on a napkin, to prototype, to engineering UI, to shipped and polished product

- ~8 years professional experience, including the pre-LLM days with strong CS fundamentals

- A balance of wisdom from experience and optimism about the future

- Strong TypeScript and Postgres (or other RDBMS) experience at scale and with high reliability (SaaS apps, APIs, etc)

- Experience with a variety of technologies, including containerization, distributed systems, and at least one strongly typed programming language (Go, C++, Java, etc)

- Ideally experience with ML and AI systems (though expertise in ML, data science, etc is not needed for this role)

We can’t sponsor visas but relocation assistance to SF is possible.

Please apply here: https://job-boards.greenhouse.io/kinelo/jobs/4088659009 and also email jobs@kinelo.com, mentioning this post.

We are an early-stage, well-funded startup making humans and computers work together more efficiently. Experienced team from Apple AIML and other great companies.

We're looking for a polyglot "startup engineer" at the Staff+ level can help with the end-to-end implementation of new features and capabilities and who can move between different components, be creative, be flexible, take ownership, and get things done. We have a complex, challenging product, but one that's amazing to work on and that will soon change how people think about working with each other and with AI.

You'll enjoy this role if:

- You like going 0 to 1 with high ownership: moving features and products from idea on a napkin, to prototype, to engineering UI, to shipped and polished product

- You are innovative, get satisfaction out of learning new things, and thrive in an environment of uncertainty and opportunity

To succeed, you should:

- Have the wisdom to know when to take the fast route vs when to step back and clean up your mess

- Be capable and excel on your own, but be humble and communicate well with others as projects require more collaboration

- Be versed across many programming languages (e.g. from C++/Java/Swift to Go to JavaScript or Python)

- Have worked on many types of projects and software -- have you built servers, written games, shipped native apps, and vibe-coded (kidding) web apps? If so, you're a fit.

- Be versatile and work both high level and low level, on old tech and new. Have you both prompt-engineered an LLM AND tweaked the code that decodes tokens in your own local LLM runner? If so, you're a fit.

https://www.avy.app/careers.html?gh_jid=4007253009

Email us at jobs@avy.app

We are an early-stage, well-funded startup making humans and computers work together more efficiently. Experienced team from Apple AIML and other great companies.

We will be opening several roles soon, but are previewing this one early: Staff Engineer / Startup Polyglot Engineer.

You'll enjoy this role if:

- You like going 0 to 1 with high ownership: moving features and products from idea on a napkin, to prototype, to engineering UI, to shipped and polished product

- You are innovative, get satisfaction out of learning new things, and thrive in an environment of uncertainty and opportunity

To succeed, you should:

- Have the wisdom to know when to take the fast route vs when to step back and clean up your mess

- Be capable and excel on your own, but be humble and communicate well with others as projects require more collaboration

- Be versed across many programming languages (e.g. from C++/Java/Swift to Go to JavaScript or Python)

- Have worked on many types of projects and software -- have you built servers, written games, shipped native apps, and vibe-coded (kidding) web apps? If so, you're a fit.

- Be versatile and work both high level and low level, on old tech and new. Have you both prompt-engineered an LLM AND tweaked the code that decodes tokens in your own local LLM runner? If so, you're a fit.

All said, we're looking for the stereotypical "startup engineer" who can move between different components, be creative, be flexible, take ownership, and get things done. We have a complex, challenging product, but one that's amazing to work on and that will soon change how people think about working with each other and with AI.

Email us at jobs@avy.ai.

Two questions / thoughts:

1. I stumbled for a while looking for the license on your website before finding the Apache 2.0 mark on the Hugging Face model. That's big! Advertising that on your website and the Github repo would be nice. Though what's the business model?

2. Given the LLama 3 backbone, what's the lift to make this runnable in other languages and inference frameworks? (Specifically asking about MLX but Llama.cpp, Ollama, etc)

The bigger thing though was getting the models to have the appropriate levels of verbosity and detail in their ouput which fine tuning made more consistent.

If you have a Mac, you can also do pretty well training LORA adapters using something like Llama-Factory, and allowing it to run overnight. It's slower than an NVIDIA GPU but the increased effective memory size (if you say have 128GB) can allow you more flexibility.

At Avy.ai we're running small (2B-7B, quantized) vision models as part of a Mac desktop application for understanding what someone is working on in the moment, to offer them related information and actions.

We found that the raw results in understanding the images with a light LORA fine tune are not substantially different -- but the ease of getting a small model to follow instructions in outputting structured data in response to the image and at the level of verbosity and detail we need is greatly enhanced with fine tuning. Without fine tuning the models on the smaller end of that scale would be much more difficult to use, not reliably producing output that matched what the consuming application expects

What exactly would you like a third party system to do? Mac or iOS?

The local models do things ranging from cleaning up OCR, to summarizing meetings, to estimating the user's current goals and activity, to predicting search terms, to predicting queries and actions that, if run, would help the user accomplish their current task.

The capabilities of these tiny models have really surged recently. Even small vision models are becoming useful, especially if fine tuned.

But then I think about how maddeningly unpredictable human thought and perception is, with phenomena like optical illusions, cognitive biases, a limited working memory. Yet it is still produces incredibly powerful results.

Not saying ML is anywhere near humans yet, despite all the recent advances, but perhaps a fully explainable AI system, with precise logic, 100% predictable, isn’t actually needed to get most of what we need out of AI. And given the “analog” nature of the universe maybe it’s not even possible to have something perfect.

We've been keeping quiet, but I'd be happy to chat more if you want to email me (also in bio)

If this protocol gets adoption we'll probably add compatibility.

Which would bring MCP to local models like LLama 3 as well as other cloud providers competitors like OpenAI, etc

We are an early-stage, well-funded, stealth startup making humans and computers work together more efficiently. Experienced team from Apple AIML, Bose, Amazon, and other great companies.

We're hiring for:

- Integrations and server engineer (Go/TypeScript/Python connections to data sources, and data syncing) with some devops responsibilities

- Generalist AI/ML engineer (writing agent code, RAG, prompt engineering, etc)

We're distributed but expect travel for regularly scheduled on-site, in-person work in SLC, with future presence in New York City.

Please visit https://avy.breezy.hr

We are an early-stage, well-funded, stealth startup making humans and computers work together more efficiently. Experienced team from Apple AIML, Bose, Amazon, and other great companies.

We're hiring for:

- Senior Applied AI/ML engineer (including LLM fine-tuning, search/retrieval systems, and various vision and NLP tasks)

- Generalist AI/ML engineer (writing agent code, RAG, prompt engineering, etc)

- Integrations and server engineer (TypeScript/Go/C++ connections to data sources, and data syncing)

We're distributed but expect travel for regularly scheduled on-site, in-person work in SLC, with future presence in New York City.

Email jobs@avy.ai or visit https://avy.breezy.hr (not all positions posted there yet)

We are an early-stage, well-funded, stealth startup making humans and computers work together more efficiently. Experienced team from Apple AIML, Bose, Amazon, and other great companies.

We're hiring for:

- Senior Applied AI/ML engineer (including LLM fine-tuning, search/retrieval systems, and various vision and NLP tasks)

- Marketing (in the "growth hacker" spirit) -- if your dream is to launch the fastest-growing B2B SaaS product ever, we want to talk with you.

We're distributed but expect travel for regularly scheduled on-site, in-person work in SLC, with future presence in New York City.

Email jobs@avy.ai or visit https://avy.breezy.hr (not all positions posted there yet)