F
Senior AI Engineer
Factored
1 hour ago
Full-time
On-site
Palo Alto, California, United States
Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.
At Factored, you'll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We're transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.
As a Senior AI Engineer at Factored, you will engage full-time in designing and building production-grade GenAI systems that transform enterprise AI strategies into secure, scalable applications. You are a hands-on engineer working directly with client teams, shipping production code while contributing to technical strategy and learning from experienced leaders. You own complex, high-impact projects from architecture through optimization and deployment. This role exists for engineers who want to build at the frontier of AI while growing their technical expertise.
Functional Responsibilities
Architect, design, and implement backend systems that integrate with LLMs, and ensure services are scalable, secure, and production-ready
Implement
agentic architectures
for complex AI workflows.
Build, deploy, and manage cloud-native AI applications on
AWS
(Lambda, ECS, SageMaker) and other modern infrastructure.
Fine-tune prompts and build
RAG pipelines
to optimize performance.
Implement
AI security guardrails
and conduct risk assessments to ensure compliance, privacy, and safety.
Monitor application health with
observability tools
(APM, logging, LLM performance metrics) and proactively resolve performance issues.
Collaborate with
ML Engineers, product managers, and cross-functional teams
to understand requirements and deliver AI features that drive measurable value.
Communicate
technical architecture and trade-offs
clearly to stakeholders at all levels.
Contribute to
raising
engineering
standards
through code review and knowledge sharing.
Qualifications
5+ years of professional experience
as a Software Engineer or in a related role, with a
strong foundation in Python.
Hands-on experience or strong interest in
Generative AI frameworks
such as LangGraph, LangChain, OpenAI, and RAG implementations.
Experience with
cloud platforms
like AWS, including building, deploying, and managing cloud-native applications; exposure to Azure or GCP is also valuable.
Experience
designing and developing APIs
using frameworks like FastAPI, Django, or Flask; willingness to learn best practices for scalable production systems is appreciated.
Strong
system design and problem-solving skills , including building, testing, and optimizing backend systems or AI workflows.
Practical experience with
databases
(PostgreSQL or NoSQL), and
vector databases
for RAG workflows.
Proficiency with
DevOps and CI/CD tools
such as Docker, Kubernetes, Terraform, and Git-based workflows.
Understanding of
deep learning model development and deployment , with familiarity using frameworks like PyTorch or HuggingFace; motivated learners are welcome.
Excellent English communication skills , both written and spoken, with the ability to collaborate effectively with global teams and explain complex AI concepts clearly.
Comfortable
translating between technical and business perspectives
and managing ambiguous requirements.
A growth mindset and genuine interest in learning and applying new AI/ML techniques
to real-world challenges.
Ownership through equity participation.
Annual company retreat.
Education bonus for continuous learning.
Company-wide winter break.
Paid time off.
Optional in-person events and meetups.
Tailored career roadmaps.
High-performance culture.
At
Factored , we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.
We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.
In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.
#J-18808-Ljbffr
At Factored, you'll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We're transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.
As a Senior AI Engineer at Factored, you will engage full-time in designing and building production-grade GenAI systems that transform enterprise AI strategies into secure, scalable applications. You are a hands-on engineer working directly with client teams, shipping production code while contributing to technical strategy and learning from experienced leaders. You own complex, high-impact projects from architecture through optimization and deployment. This role exists for engineers who want to build at the frontier of AI while growing their technical expertise.
Functional Responsibilities
Architect, design, and implement backend systems that integrate with LLMs, and ensure services are scalable, secure, and production-ready
Implement
agentic architectures
for complex AI workflows.
Build, deploy, and manage cloud-native AI applications on
AWS
(Lambda, ECS, SageMaker) and other modern infrastructure.
Fine-tune prompts and build
RAG pipelines
to optimize performance.
Implement
AI security guardrails
and conduct risk assessments to ensure compliance, privacy, and safety.
Monitor application health with
observability tools
(APM, logging, LLM performance metrics) and proactively resolve performance issues.
Collaborate with
ML Engineers, product managers, and cross-functional teams
to understand requirements and deliver AI features that drive measurable value.
Communicate
technical architecture and trade-offs
clearly to stakeholders at all levels.
Contribute to
raising
engineering
standards
through code review and knowledge sharing.
Qualifications
5+ years of professional experience
as a Software Engineer or in a related role, with a
strong foundation in Python.
Hands-on experience or strong interest in
Generative AI frameworks
such as LangGraph, LangChain, OpenAI, and RAG implementations.
Experience with
cloud platforms
like AWS, including building, deploying, and managing cloud-native applications; exposure to Azure or GCP is also valuable.
Experience
designing and developing APIs
using frameworks like FastAPI, Django, or Flask; willingness to learn best practices for scalable production systems is appreciated.
Strong
system design and problem-solving skills , including building, testing, and optimizing backend systems or AI workflows.
Practical experience with
databases
(PostgreSQL or NoSQL), and
vector databases
for RAG workflows.
Proficiency with
DevOps and CI/CD tools
such as Docker, Kubernetes, Terraform, and Git-based workflows.
Understanding of
deep learning model development and deployment , with familiarity using frameworks like PyTorch or HuggingFace; motivated learners are welcome.
Excellent English communication skills , both written and spoken, with the ability to collaborate effectively with global teams and explain complex AI concepts clearly.
Comfortable
translating between technical and business perspectives
and managing ambiguous requirements.
A growth mindset and genuine interest in learning and applying new AI/ML techniques
to real-world challenges.
Ownership through equity participation.
Annual company retreat.
Education bonus for continuous learning.
Company-wide winter break.
Paid time off.
Optional in-person events and meetups.
Tailored career roadmaps.
High-performance culture.
At
Factored , we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.
We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.
In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.
#J-18808-Ljbffr