Empirical empowers early and growth stage tech companies to create the right products in the right way by providing two pivotal services:
Product & Technology Leadership: Our clients entrust critical decisions to our network of top-tier US-based CTOs and CPOs. We provide fractional, project, or advisory based support, combining highly experienced talent with a flexible approach.
Product Development Teams: We provide our clients with high performing, senior product development talent through a scalable staff augmentation model and ongoing support. We focus on Latin America to find exceptional talent, with time zone and cultural compatibility.
We are proud to be a people first company, where we prioritize building meaningful, long lasting human connections with clients and team members alike, while embracing diversity and uniqueness. With this foundation and our focus on talent, we help create great products that people love.
Our values
Care about people first
Strive to add value always
Lead with integrity
Have fun every step of the way
Our client is a fast growing AI-driven digital lending platform that's transforming how small businesses access funding. Their backend architecture is built around Python + FastAPI , deployed in AWS , and designed to support rapid data integration and real-time automation.
They're looking for a Senior Backend Engineer to help design, build, and scale FastAPI microservices, integrate external APIs, and deliver clean, reliable, asynchronous Python code. You'll work closely with senior technical leadership, contributing directly to the unified API layer that powers the company's automation and AI workflows, within a modern backend stack that includes Python, FastAPI, PostgreSQL, Redis, AWS, Docker, CI/CD , and advanced data tools such as Weaviate, Neptune, and LangChain/LangGraph .
Design, develop, and maintain FastAPI microservices in production environments.
Build and integrate APIs with external financial and operational systems.
Normalize and map data from multiple third-party providers into unified schemas.
Collaborate with AI, DevOps, and data teams to ensure reliable, real-time data ingestion.
Contribute to scalability, performance, and security improvements across the backend.
Participate in architectural discussions and code reviews, helping define best practices.
Strong proficiency in Python .
Proven experience developing production-grade systems with FastAPI .
Solid understanding of RESTful APIs , asynchronous programming , and PostgreSQL .
Experience working in distributed, remote engineering teams.
Clear communication skills and a proactive, ownership-oriented mindset
Bonus points for
Experience with AWS (Lambda, ECS, Secrets Manager, S3, CloudWatch).
Building third-party API integrations (Plaid, Experian, DocuSign, etc.).
Familiarity with vector or graph databases (Weaviate, AWS Neptune).
Exposure to AI-driven systems or fintech environments .
100% alignment with our core values!
Ability to take ownership of projects from start to finish
Strong collaboration and communication skills
Attention to detail and a passion for creating great user experiences
Remote/flexible work
Highly competitive compensation in US dollars
Opportunities for personal and professional development ; mentorship, coaching and training as needed
Ongoing, 40 hours per week dedication
The chance to be part of an amazing, multicultural community of tech experts
We pride ourselves on our core values and have proven that putting people first creates a thriving and collaborative work environment.
We seek to accommodate and balance individual needs with client needs, understanding each one of us is unique.
We offer benefits such as remote/flexible work, selective paid training, mentorship programs, referral programs and more.
We are selective in the projects we take on to ensure our teams are engaged in challenging, meaningful, enjoyable opportunities that will provoke creativity, innovation and growth!