About GroundedAI
GroundedAI builds software systems that turn complex, real-world data into reliable insights. Our products operate in challenging, industrial environments where correctness, performance, and maintainability matter just as much as innovation.
We work at the intersection of software engineering, applied machine learning, and geospatial data. Our focus is on shipping robust systems , not prototypes or research demos.
Role Overview
We’re looking for a Software Engineer to join our core product engineering team. This role is ideal for someone with ~5 years of experience who enjoys building and owning production systems end-to-end, including services that incorporate machine learning and computer vision components.
You’ll collaborate with engineers across the stack to design, build, deploy, and operate software that includes ML-powered features while maintaining high standards for reliability, performance, and code quality.
This is a software engineering role first , with machine learning as an important (but not exclusive) part of the problem space.
What You’ll Do
- Design, implement, and maintain production software systems that power GroundedAI’s products
- Build backend services and pipelines that support data processing, model training, and inference
- Integrate computer vision and ML components into user-facing applications
- Improve system performance, reliability, and observability in production environments
- Collaborate with product, ML, and frontend engineers to deliver end-to-end features
- Debug and resolve complex production issues across services, data, and infrastructure
- Contribute to technical design discussions and help evolve engineering best practices
What We’re Looking For
Required
~5 years of professional experience as a software engineer (backend, platform, or product)Strong fundamentals in software design, debugging, testing, and code qualityExperience building and operating production systems used by real usersProficiency in Python and experience with modern development workflows (Git, CI / CD)Comfort working with APIs, services, and data pipelinesExperience deploying software using Docker and cloud infrastructure (AWS, GCP, or Azure)Ability to collaborate across disciplines and take ownership of technical problemsML / CV Experience (Nice to Have, Not Required)
Experience working with ML-backed or data-driven systems in productionFamiliarity with computer vision concepts such as image segmentation, feature extraction, or object detectionExposure to ML frameworks like PyTorch or TensorFlowExperience working with large datasets, geospatial data, or 3D / point-cloud dataWhy GroundedAI
Work on real-world systems with meaningful constraints and impactStrong engineering culture focused on ownership, pragmatism, and qualityOpportunity to influence core architecture and technical directionCompetitive compensation and benefitsFlexible hybrid / remote work optionsSupport for learning, experimentation, and professional growth