Intelletec

I lead a team of passionate, honest, and hard-working Technical Recruiters across the rapidly growing blockchain, AI, and modern FinTech domains. 

I started my career as a Cyber Security Recruiter and I have a knack for finding elite Security and Infrastructure Engineers around the world for top startups.

Director at Intelletec | Blockchain, FinTech, DevOps

Tardis Group

2015: New to recruitment - Rookie of the year
2015: Most permanent deals closed globally
2015: 175% quota achieved
2016: 160% quota achieved

Senior Consultant, IT Security

Business Development Manager

Kiel O'Mara

Lily Zhang

Jayen Ram

Samuel (X Æ A-Xii) Bigio

Daniel Hunter

Alex Z.

Michael Parlato

Tim L.

Kavan Doctor

Nearly all disease will become treatable in our lifetimes. At the same time, drug discovery is quickly becoming an engineering discipline. There has never been a more exciting time for new biotech research to solve humanity’s most fundamental problems.At Mandolin, we’re building the “last mile” delivery infrastructure to accelerate this unbounded future of cutting-edge drugs — cell/gene therapies and biologics for Alzheimer’s, cancer, schizophrenia, genetic disorders, amongst many others. Reasoning-adept LLMs uniquely unlock the opportunity to bridge this market gap. We’re starting with an “AI knowledge worker” for clinics administering these drugs, and then partnering with health insurers and pharma companies to bring drug breakthroughs to market at scale.Ultimately, our mission is to substantial extend all healthy human lifespans by minimizing the time to bring life-changing drugs to patients.We’re a lean, aggressive team of former founders set on building a new generational incumbent in healthcare. We’ve raised substantial institutional funding from the best healthcare AI investors from firms like SignalFire, Maverick, and Thrive (including first institutional checks into rocketships like Hims&amp;Hers, Ro, Grow Therapy, Cityblock, and Devoted Health).

Mandolin

All founding engineers at Mandolin are full-stack generalists, meaning you’ll get a chance to work across the entire stack (frontend, backend, AI infrastructure, devops). Given the compound nature of our product, we also tend to form short-lived teams around specific projects.

Founding Software Engineer

We work in-person in SF, but we hire from anywhere. We’ll pay to relocate you (including internationally).

Jack McGrath

Hi! We're Extend, and we're helping companies deploy in-house AI agents for processing unstructured data. Extend is used in production at companies like Brex, Opendoor, Checkr, Vendr, and more. Our customers use our platform to build, deploy, and monitor intelligent data processing agents to turn their mountains of unstructured data (documents, PDFs, emails, images) → insights, customer NPS, operational efficiency, or new product initiatives.We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).Here's a few of the complex technical problems we're working on:<ul><li>How do we enable enterprises to deploy AI agents into production with confidence?</li><li>How do we handle never before seen edge cases in customer data?</li><li>How do we build a self-correcting system that automatically gets better over time?</li><li>How do we enable non-technical domain experts to train AI agents with their expertise &amp; business logic?</li><li>How do we help customers make tradeoffs between latency, cost, and performance?</li><li>How do we build reliable systems that can process large data streams in real-time?</li></ul>

Co-Founder & CTO

Extend (YC W23)

Extend is enabling enterprises to deploy in-house AI agents for processing unstructured data. As a Product Engineer at Extend, you’ll be responsible for building our core platform that companies use to train, deploy, and monitor AI agents. We’re looking to hire exceptional engineers who care about crafting intuitive product experiences, relentlessly focus on the details, and operate with high agency.We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).Here's a few of the complex technical problems we're working on:<ul><li>How do we enable enterprises to deploy AI agents into production with confidence?</li><li>How do we handle never before seen edge cases in customer data?</li><li>How do we build a self-correcting system that automatically gets better over time?</li><li>How do we enable non-technical domain experts to train AI agents with their expertise &amp; business logic?</li><li>How do we help customers make tradeoffs between latency, cost, and performance?</li><li>How do we build reliable systems that can process large data streams in real-time?</li></ul>

Product Engineer

About the role
Extend is enabling enterprises to deploy in-house AI agents for processing unstructured data. As a Product Engineer at Extend, you’ll be responsible for building our core platform that companies use to train, deploy, and monitor AI agents.

We’re looking to hire exceptional engineers who care about crafting intuitive product experiences, relentlessly focus on the details, and operate with high agency.

IMPACT
We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex technical problems we're working on:

How do we enable enterprises to deploy AI agents into production with confidence?
How do we handle never before seen edge cases in customer data?
How do we build a self-correcting system that automatically gets better over time?
How do we enable non-technical domain experts to train AI agents with their expertise & business logic?
How do we help customers make tradeoffs between latency, cost, and performance?
How do we build reliable systems that can process large data streams in real-time?
ROLE
Build, and maintain, durable, scalable systems capable of processing 10s of millions of data points per month.
Design and implement the best human ↔ AI interfaces for designing data processing agents. We are building a new territory of UX that previously did not exist. It’s up to us to discover and implement new patterns that work for our users.
Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.
Work directly with the CEO, CTO, and other founding members and help build out our team.
About Extend
Hi! We're Extend, and we're helping companies deploy in-house AI agents for processing unstructured data. Extend is used in production at companies like Brex, Opendoor, Checkr, Vendr, and more. Our customers use our platform to build, deploy, and monitor intelligent data processing agents to turn their mountains of unstructured data (documents, PDFs, emails, images) → insights, customer NPS, operational efficiency, or new product initiatives.

We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex technical problems we're working on:

How do we enable enterprises to deploy AI agents into production with confidence?
How do we handle never before seen edge cases in customer data?
How do we build a self-correcting system that automatically gets better over time?
How do we enable non-technical domain experts to train AI agents with their expertise & business logic?
How do we help customers make tradeoffs between latency, cost, and performance?
How do we build reliable systems that can process large data streams in real-time?
TEAM
We're a small team of 5 that's fully in-person in NYC. Our backers include Homebrew, Innovation Endeavors, Character, and angels from OpenAI, Brex, Airbnb, Newfront, and more.

Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Andreesen Horowitz, Foundation Capital, The New Normal Fund, and other top investors.&nbsp;

Tennr

At Tennr, we’re building a platform for automating rote labor in traditional industries. We believe that humans should spend more of their time doing creative, satisfying work that drives value. To get there we need to leverage AI to automate mundane workflows. We're a team that thrives on ownership and rapid development, dedicated to transforming business landscapes with our technology. We're looking for a Full-Stack Engineer to join our team in New York. This person will help drive our product forward and take ownership by proactively driving projects from conception to completion.

Full-Stack Software Engineer

About Tennr:
Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.

Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Andreesen Horowitz, Foundation Capital, The New Normal Fund, and other top investors. 

Key Responsibilities
Architect and implement features that drive direct customer value end-to-end in our frontend and backend environments.

Follow and adopt the latest techniques in artificial intelligence. Work at the cutting edge, apply and innovate upon the world’s fastest moving technology.

Lead performance optimization initiatives, ensuring code quality and adherence to best practices.

Collaborate with sales and customer success teams to respond to feedback from our customers and prospects.

Embrace a founder's mindset, proactively driving projects from conception to completion, and contributing significantly to our company's growth and success.

Qualifications
3+ years of experience in full-stack development, with a strong focus on JavaScript and familiarity with TypeScript.

Proven track record of building and maintaining scalable web applications.

Excellent problem-solving skills and a knack for efficient, clean coding practices.

Experience with AI model integration and a strong interest in AI and machine learning.

Outstanding communication skills, capable of articulating complex technical concepts to a diverse audience.

A team player who thrives in collaborative environments and values diverse perspectives.

Prior experience in a startup or fast-paced tech environment is a plus.

Evaluation Criteria
Technical Proficiency: Your skill in full-stack development and contribution to our tech stack.

Project Execution: Efficiency and quality in delivering projects within set timelines.

Innovation and Contribution: Your ability to enhance our system with new ideas and improvements.

Collaboration and Communication: Effectiveness in team collaboration and clarity in communication.

Adaptability and Learning: Willingness to embrace new technologies and a commitment to continuous learning.

Rasha Hantash

GPTZero is the world's leading AI-text identification platform. Our mission is to restore information quality and transparency on the internet. We give millions of users the ability to see the origin, reliability, and quality of information, and enable responsible adoption of AI.

GPTZero

As a fullstack engineer, you’ll build and ship responsible AI-powered products to millions of users. You'll help expand our AI-detection and verification platform and create new products. You'll build new features, UIs, and APIs, and partner closely with our ML and design teams to create delightful user experiences.

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