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Assembled | Software Engineer, Product Manager | San Francisco or New York | Full-time

Assembled helps customer support teams resolve issues with the right agent, providing the right answer, at the right time. Over 300 industry leaders, including Etsy, Stripe, and Georgia's Department of Human Services, use Assembled’s workforce management and LLM-powered automation products to make optimal staffing decisions, improve productivity, and reduce wait times. Support is a $33b software market expected to accelerate due to AI adoption - and we’re positioned to become a leader.

For some more info, check out our blog post on Reciprocal Rank Fusion and Hybrid Search: https://www.assembled.com/blog/better-rag-results-with-recip... or some Q&A with our early employees that highlight what life is like at Assembled: https://www.assembled.com/blog/100-assemblers-and-counting-a...

Our open roles include:

- Software Engineer: https://boards.greenhouse.io/assembled/jobs/4957681004

- Product Manager: https://job-boards.greenhouse.io/assembled/jobs/4101414004

- And more: https://www.assembled.com/careers-at-assembled


Assembled (https://assembled.com/) | San Francisco, CA | Software engineer -- Assist, Product Manager -- Assist

Help us build an AI issue resolution engine for customer support. We work with some of the top brands in the world in customer support (Stripe, Etsy, Robinhood, DoorDash, etc.) and we're building a new AI product to streamline support workflows.

You'd be one of early people on our AI product and you'd work directly with me (CTO & Co-founder) to shape the early stages of development on the product. Read more about how our team operates here: https://www.assembled.com/blog/a-conversation-with-the-team-.... We recently posted on Hacker News about some of the techniques we use to improve accuracy of our responses: https://www.assembled.com/blog/better-rag-results-with-recip...

Apply here: https://boards.greenhouse.io/assembled/jobs/4957681004 or email me at john (at) assembled.com


Assuming that you don't offer a remote option, could you please add "Onsite" to the first line of the post, as requested in the main post at the top? Thank you.


It's a good call out -- we use smoothing parameters that are closer to what you see in the academic articles (they're tuned slightly, but not much).

We used 1/Rank in the article for simplicity purposes, though I can see why this might be confusing to an astute reader.


Author here: you're for sure right -- it's not a problem with RAG the theoretical concept. In fact, I think RAG implementations should likely be specific to their use cases (e.g. our hybrid search approach works well for customer support, but I'm not sure if it would work as well in other contexts, say for legal bots).

I've seen the whole gamut of RAG implementations as well, and the implementation, specifically prompting and the document search has a lot to do with the end quality.


re: legal, I saw a post on this idea where their RAG system was designed to return the actual text from the document rather than a LLM response or summary. The LLM played a role in turning the query into the search params, but the insight was that for certain kinds of documents, you want the actual source because of the existing, human written summary or the detailed nuances therein


Sounds more like Generation Augmented Retrieval in that case.


It wasn't this GAR post, I remember them calling out legal docs explicitly, might have seen it on Twitter

https://blog.luk.sh/rag-vs-gar


Do you happen to have any good references for GAR implementation?


Assembled (https://assembled.com/) | San Francisco, CA | Software engineer -- AI & New Products, Product Manager -- AI & New Products

We're hiring a frontend focused engineer and a product manager to join our New Products Team. We work with some of the top brands in the world in customer support (Stripe, Etsy, Robinhood, DoorDash, etc.) and we're launching a new AI product to streamline support workflows.

You'd be one of early people on our AI product and you'd work directly with me (CTO & Co-founder) to shape the early stages of development on the product. Read more about how our team operates here: https://www.assembled.com/blog/a-conversation-with-the-team-...

Apply here: https://boards.greenhouse.io/assembled/jobs/4957681004 or email me at john (at) assembled.com


Assembled (https://assembled.com/) | San Francisco, CA | Software engineer -- AI & New Products

We're hiring a frontend focused engineer to join our New Products Team. You'd be one of the first engineers working on our AI product that assists customer support agents and automates common workflows. You'd report into me (CTO & Co-founder) and would get to shape the early stages of development on the product. Read more about how our team operates here: https://www.assembled.com/blog/a-conversation-with-the-team-...

Apply here: https://boards.greenhouse.io/assembled/jobs/4957681004 or email me at john (at) assembled.com


Appreciate it Max! We definitely had some challenges initially, but going into full startup mode helped us get way deeper with users and iterate more quickly


Assembled | Software Engineer, Senior Software Engineer, Engineering Manager, UX Developer | Full Time | SF, NYC

We're transforming customer support for the most modern companies in the world. Our customers include Stripe, Etsy, Zoom, and Asana among others. We solve deep technical and algorithmic problems (how do you forecast support demand, how do you schedule thousands of agents within shift constraints, etc.) while priding ourselves on our user experience.

If you're interested in working in a dynamic, fast paced environment with lots of ownership, you'd be a great fit!

We target 90th percentile compensation across all roles against companies of similar size/funding.

https://www.assembled.com/careers-at-assembled


Assembled | Software Engineer, Senior Software Engineer, Engineering Manager | Full Time | SF, NYC

We're transforming customer support for the most modern companies in the world. Our customers include Stripe, Etsy, Zoom, and Asana among others. We solve deep technical and algorithmic problems (how do you forecast support demand, how do you schedule thousands of agents within shift constraints, etc.) while priding ourselves on our user experience.

If you're interested in working in a dynamic, fast paced environment with lots of ownership, you'd be a great fit!

We target 90th percentile compensation across all roles against companies of similar size/funding.

https://www.assembled.com/careers-at-assembled


Zinc is still running! Xiang Li (https://www.linkedin.com/in/xli88/) is at the helm and pushing it to bigger and better things.

For why we took VC funding for Assembled: the full explanation is probably worth its own article. But the short answer is that the space and the opportunity are really big in customer support and the money helps us move much faster.


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