Company
Reveal Health Tech logo

Reveal Health Tech

revealhealthtech.com
Location

Remote, but you must be in the following location

  • πŸ‡ΊπŸ‡Έ United States
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Lead Full-Stack AI Engineer

Description

Thank you for considering the Lead Full- Stack AI Engineer position at Reveal Health Tech. We are an early-stage IT startup based in the US and India, focused on leveraging technology to deliver transformative healthcare solutions.

*Please note, this job posting is intended to build a talent pipeline for future opportunities with our company. We are not actively hiring for this role at the moment, but we encourage you to apply for consideration in our upcoming hiring needs.

ABOUT THE ROLE

As a Lead Full-Stack AI Engineer at Reveal Health Tech, you will play a crucial role in driving technical development and leading the implementation of cutting-edge AI solutions. You will work closely with clients, collaborate with cross-functional teams, and contribute to the development of revolutionary products and applications in the digital health space.

If you are passionate about leveraging AI to transform healthcare, thrive in a fast-paced and collaborative environment, and want to make a meaningful difference, we would love to hear from you!

Requirements

What do we need?

We are seeking an experienced Lead Full-Stack AI Engineer who can bring their technical expertise and leadership skills to the table. You will be responsible for architecting and building end-to-end AI systems, integrating machine learning models, and ensuring scalability, performance, and security of the applications.

Responsibilities:

  • Lead the technical development of AI-driven products and applications in the digital health space

  • Collaborate with clients and cross-functional teams to understand requirements, define project roadmaps, and deliver high-quality solutions

  • Architect and design resilient and scalable AI systems

  • Integrate AI and machine learning models into front-end and back-end systems

  • Ensure application performance, security, and reliability

  • Stay updated with the latest AI technologies and industry trends

Requirements:

  • Bachelor's degree in Computer Science or related field

  • Minimum of 5 years of professional experience as a Full-Stack Engineer, with a focus on AI

  • Strong proficiency in Python and JavaScript

  • Experience with front-end technologies such as React or Angular

  • Experience with back-end frameworks such as Django or Node.js

  • Solid understanding of machine learning concepts and algorithms

  • Experience with AI frameworks and libraries such as TensorFlow or PyTorch

  • Experience with LLMs, Prompt engineering, Langchain

  • Experience with cloud platforms such as AWS or Azure

  • Strong problem-solving and analytical skills

  • Excellent communication and collaboration abilities

If you are ready to join an innovative team and contribute to the advancement of healthcare technology, apply now!

Benefits

What do you get in return?

  • Be part of a growing/amazing team - A great opportunity to be part of 0-1 of a new age technology services & product engineering company in a risk adjusted environment with high upside for initial members.

  • Trust over control - We believe in strong business fundamentals and possesses vision for scale from day 1. Truly, people are our greatest winners and we want to make sure your full potential is met in the job.

  • Numerous on-the-job-and-beyond learning opportunities - We already have a curated list of courses you can dive right in!

  • Comprehensive benefits - We want you to build a long-term career with us.

Next Steps

  • Send us your updated CV - if you can mention how you have enriched your previous organisation in a cover letter, that would be great!

  • If we find your profile suitable, we will have our Talent personnel to reach out to you to understand your profile/interests and how best we can mutually align.

  • You would have a job-based interview and a leadership chat as the next rounds.

  • Finally, you would have a case study based interview with our senior stakeholders.