Energy Jobline ZR
Senior Full Stack Software Engineer in San Francisco
Energy Jobline ZR, San Francisco, California, United States, 94199
Senior Full Stack Software Engineer
Location:
San Francisco, CA (100% On-site)
Compensation:
$150,000 - $250,000 (Base Salary) + Equity
We are building the future of hiring with our revolutionary
AI Recruiter
that conducts job interviews in real-time over video calls. Our platform acts as a marketplace, serving candidates with a world-class interview experience and employers with powerful data aggregation and analysis tools. We are looking for a hands‑on
Senior Full Stack Software Engineer
to build both consumer‑facing and enterprise‑grade software with a clear opportunity for growth and ownership.
As a Senior Full Stack Software Engineer, you will be a founding member of our small, passionate team, solving challenging technical problems at the intersection of consumer software, enterprise platforms, and conversational AI.
In this role, you will work on:
Consumer Experience:
Drastically decrease interviewer response latency (e.g., target under 200ms) and scale our infrastructure to support thousands of simultaneous interviews while ensuring compliance across different geographies.
AI & Data Infrastructure:
Design and implement data solutions, including
Vector Databases , to handle complex queries for matching candidates with specific traits.
Enterprise Integration:
Integrate our platform with major customer internal hiring systems and build beautiful apps for recruiters to view and analyze interview data visually and quickly.
Scalability & DevOps:
Scale our system architecture and leverage our cloud/DevOps stack ( Azure, Kubernetes, Docker ) for high availability and performance.
Full Stack Feature Delivery:
Own the end‑to‑end development of many, many features across the platform, from the Python backend to the TypeScript/React frontend.
Requirements
Experience:
3 to 7 years of full stack engineering experience (senior+ level).
Frontend:
Proficiency with
React (TypeScript) .
Backend:
Strong knowledge of
Python
and experience with modern backend technologies, including asynchronous programming ( asyncio ) and
SQL (Postgres) .
Cloud & DevOps:
Experience with cloud services and DevOps tooling ( Azure, Kubernetes, Docker ).
Problem‑Solving:
Proven ability to love to code, experiment, and iterate quickly, with a hungry, builder mentality.
Collaboration:
Strong communication and collaboration skills to work effectively with product, design, and co‑founder in an on‑site environment.
Qualifications
Experience working on a two‑sided marketplace or platform serving both consumer and enterprise customers.
Experience with
Vector Databases
or building conversational AI/LLM‑powered products.
A love for that "build fast, break things, and learn" mentality (hackathon experience is a huge plus).
Benefits
Impact:
Work directly on building the future of hiring, contributing to an autonomous AI recruiter that has already conducted thousands of interviews across multiple industries.
Compensation:
Competitive salary ($150,000 - $250,000) and meaningful
equity
participation (0.01% - 0.25%).
Time Off:
Unlimited PTO
(Paid Time Off).
Wellness:
Comprehensive
health insurance
coverage.
Office Perks:
Company lunches
provided.
Work Policy:
100% On‑site
role in our San Francisco, CA office to foster deep collaboration with a small, founding team.
Visa Support:
Visa sponsorship is not available for this position.
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 resources@mlabs.city.
#J-18808-Ljbffr
San Francisco, CA (100% On-site)
Compensation:
$150,000 - $250,000 (Base Salary) + Equity
We are building the future of hiring with our revolutionary
AI Recruiter
that conducts job interviews in real-time over video calls. Our platform acts as a marketplace, serving candidates with a world-class interview experience and employers with powerful data aggregation and analysis tools. We are looking for a hands‑on
Senior Full Stack Software Engineer
to build both consumer‑facing and enterprise‑grade software with a clear opportunity for growth and ownership.
As a Senior Full Stack Software Engineer, you will be a founding member of our small, passionate team, solving challenging technical problems at the intersection of consumer software, enterprise platforms, and conversational AI.
In this role, you will work on:
Consumer Experience:
Drastically decrease interviewer response latency (e.g., target under 200ms) and scale our infrastructure to support thousands of simultaneous interviews while ensuring compliance across different geographies.
AI & Data Infrastructure:
Design and implement data solutions, including
Vector Databases , to handle complex queries for matching candidates with specific traits.
Enterprise Integration:
Integrate our platform with major customer internal hiring systems and build beautiful apps for recruiters to view and analyze interview data visually and quickly.
Scalability & DevOps:
Scale our system architecture and leverage our cloud/DevOps stack ( Azure, Kubernetes, Docker ) for high availability and performance.
Full Stack Feature Delivery:
Own the end‑to‑end development of many, many features across the platform, from the Python backend to the TypeScript/React frontend.
Requirements
Experience:
3 to 7 years of full stack engineering experience (senior+ level).
Frontend:
Proficiency with
React (TypeScript) .
Backend:
Strong knowledge of
Python
and experience with modern backend technologies, including asynchronous programming ( asyncio ) and
SQL (Postgres) .
Cloud & DevOps:
Experience with cloud services and DevOps tooling ( Azure, Kubernetes, Docker ).
Problem‑Solving:
Proven ability to love to code, experiment, and iterate quickly, with a hungry, builder mentality.
Collaboration:
Strong communication and collaboration skills to work effectively with product, design, and co‑founder in an on‑site environment.
Qualifications
Experience working on a two‑sided marketplace or platform serving both consumer and enterprise customers.
Experience with
Vector Databases
or building conversational AI/LLM‑powered products.
A love for that "build fast, break things, and learn" mentality (hackathon experience is a huge plus).
Benefits
Impact:
Work directly on building the future of hiring, contributing to an autonomous AI recruiter that has already conducted thousands of interviews across multiple industries.
Compensation:
Competitive salary ($150,000 - $250,000) and meaningful
equity
participation (0.01% - 0.25%).
Time Off:
Unlimited PTO
(Paid Time Off).
Wellness:
Comprehensive
health insurance
coverage.
Office Perks:
Company lunches
provided.
Work Policy:
100% On‑site
role in our San Francisco, CA office to foster deep collaboration with a small, founding team.
Visa Support:
Visa sponsorship is not available for this position.
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 resources@mlabs.city.
#J-18808-Ljbffr