AI/ML/LLM Engineer at Sei | Y Combinator

We are Sei, an AI-powered regulatory compliance platestablish. Since begining, a scant months ago, we’re inhabit with huge go inpascfinishs apass the US, Europe, and APAC and prolonging at double digits per month.

We are backed by world-class spendors including Y Combinator, Tribe Capital, PayPal, Picus Capital & Hashed. Pranay (CEO) and Ram (CTO) are the set upers. We have combined experience of 20+ years of produceing fintech, and tech products for businesses & customers apass the world at companies such as Deutsche Bank, Cboisterous Kitchens, PayPal, TransferWise, and Amazon, among others.

We are seeing for an AI/ML engineer who will help shape the tech, product, and culture of the company. We are currently laboring with a bunch of go inpascfinish customers and prohibitks and are experiencing rapid prolongth. We are seeing to employ very ageder engineers who can get our V1 into a more scaleable, strong platestablish as we set for more prolongth.

You can anticipate to do all of the adhereing:

1. Build pipelines to spotless and alter data for RAG
2. Evaluate multiple models for text classification, sentiment analysis, STT, etc.
3. Run evals
4. Clean, prune, and collect datasets to verify model carry outance, hallucination rates, recall, etc.
5. Research and carry out SOTA approaches for understandledge graphs and Graph RAGs
6. Implement inference time reasoning approaches to increase the accuracy of models

1. Continuous 360 feedback: Everyone is anticipateed to allot produceive critical feedback with everyone else, including the set upers.
2. Product-minded: Everyone allots product ownership, so we anticipate everyone to do customer outachieve, help, and talk to customers for feedback and recent features.
3. Doers over talkers: We spfinish time figuring out the right straightforwardion to get and then carry out very speedy. No one is too “ageder” to do a job – the CTO will code every day, the CEO will sell every day and everyone gets attfinish of customer help on a schedule. We understand the separateence between genuine labor and prenervous.
4. Humanity over everyskinnyg else: We sell the product to businesses, but in fact, we sell it to genuine humans on the other side. Our finish customers are users using the product thraw our UI or combined with our APIs, so we are produceing the world’s most human-centric company (no pun intfinished). Kindness is anticipateed and understanding is the core cherish we’re seeing for.

1. We anticipate you to have built skinnygs from 0 to 1 or 1 to 10.
2. Experience with AI/ML and LLMs is obligatory.
3. We don’t read much into your CV, but rather see what you have done in your life so far (side projects, uncover-source contributions, blogs, etc.). We don’t attfinish about degrees, the institutions you went to, or the companies you labored for before. We are uncover to talking as extfinished as you have put in the reps, excellent judgment and clarity, align with our cherishs, and have a strong track enroll of attentive labor.
4. We anticipate you to have labored with punctual-stage companies before (0 to 1 or 1 to 10), have an innervously strong bias for action, and have built and/or scaled systems from scratch.

Pay and profits We recommend a firm, competitive package (including punctual-stage equity). We give you the flexibility to pick the split between cash and equity.

1. If you want to coast aextfinished and do the minimal possible labor. The labor hours will be fervent, we standardly labor one of the weekfinish days as well. It gets a lot of sweat to get a commenceup off the ground and you will let the team down if you don’t pull up the socks.
2. If you cannot do fervent labor every day (with exceptions of course). The above point talks about the sheer quantity of the labor, but this one is more on the quality. We have intentionpartner kept greetings to a exposed least, so people can get into their zones and be efficient. But if this gets you uninestablished and you promise half-assed skinnygs, then we might not be the right fit for you.
3. If you are not effortless-going with the team. We have employd a team of people who are cordial and help each other out. There is zero attitude in the team. We sometimes have struggleing opinions on how skinnygs should be done, but at the finish of the day we disconsent and still promise to doing the skinnygs that shift the company forward.
4. If you cannot be with us in our office in Gurgaon at least 3 days a week.