MLabs
Location:
San Francisco, CA (On-site) or Bangalore, India Employment Type:
Full-time About the Role
Our client is an innovative AI startup with $6.88 million in funding, dedicated to helping people land their dream jobs with tools like
AI Interview Copilot
and Mock Interviews. They are seeking a
Founding Fullstack Engineer
to build their next generation of consumer and business-facing products. This is a high-autonomy role for a strong builder who is comfortable writing scalable business logic on the backend and driving elegant frontend solutions, with a strong emphasis on leveraging
AI, LLMs, and agent systems . This role demands a high degree of independent technical decision-making and ownership across the entire product lifecycle. What You'll Do
Write scalable business logic
in their cloud-native backend services. Drive and implement frontend solutions
for both consumer and B2B products. Contribute to and lead the product development process
from ideation and rapid prototyping to architecting and scaling solutions. Apply and adapt new AI knowledge/tech stack rapidly , with a focus on LLMs and agent systems. Drive technical initiatives
based on business context, including research and technical design for long-term business OKRs. Maintain technical quality
through automated testing, code reviews, CI/CD pipelines, and handling on-call duties. Perform day-to-day
DevOps
on cloud platforms (AWS, GCP, and Azure knowledge is optional). Drive projects without Tech Lead/CTO's guidance
with independent technical decisions. Requirements 1-6 years
of industry experience as a fullstack software engineer working on complex consumer or B2B products. Proven track record of building with AI , ideally LLMs or agent systems, and shipping these products to production. Experience writing business logic in cloud-native backend services at scale. Bonus points:
Hackathon winner, open-source contributor, or a strong GitHub commit history (1000+ commits/year). Benefits Salary:
$200K - $400K Equity:
0.5% - 3% (Strong Founding Equity) Visa Sponsorship:
Available for most visa types. Work Policy:
In-person
in San Francisco or India, Bangalore Benefits include:
Lunch and dinner provided, Gym membership, and Commute allowance Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
San Francisco, CA (On-site) or Bangalore, India Employment Type:
Full-time About the Role
Our client is an innovative AI startup with $6.88 million in funding, dedicated to helping people land their dream jobs with tools like
AI Interview Copilot
and Mock Interviews. They are seeking a
Founding Fullstack Engineer
to build their next generation of consumer and business-facing products. This is a high-autonomy role for a strong builder who is comfortable writing scalable business logic on the backend and driving elegant frontend solutions, with a strong emphasis on leveraging
AI, LLMs, and agent systems . This role demands a high degree of independent technical decision-making and ownership across the entire product lifecycle. What You'll Do
Write scalable business logic
in their cloud-native backend services. Drive and implement frontend solutions
for both consumer and B2B products. Contribute to and lead the product development process
from ideation and rapid prototyping to architecting and scaling solutions. Apply and adapt new AI knowledge/tech stack rapidly , with a focus on LLMs and agent systems. Drive technical initiatives
based on business context, including research and technical design for long-term business OKRs. Maintain technical quality
through automated testing, code reviews, CI/CD pipelines, and handling on-call duties. Perform day-to-day
DevOps
on cloud platforms (AWS, GCP, and Azure knowledge is optional). Drive projects without Tech Lead/CTO's guidance
with independent technical decisions. Requirements 1-6 years
of industry experience as a fullstack software engineer working on complex consumer or B2B products. Proven track record of building with AI , ideally LLMs or agent systems, and shipping these products to production. Experience writing business logic in cloud-native backend services at scale. Bonus points:
Hackathon winner, open-source contributor, or a strong GitHub commit history (1000+ commits/year). Benefits Salary:
$200K - $400K Equity:
0.5% - 3% (Strong Founding Equity) Visa Sponsorship:
Available for most visa types. Work Policy:
In-person
in San Francisco or India, Bangalore Benefits include:
Lunch and dinner provided, Gym membership, and Commute allowance Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.