Forward Deployed Engineer

FloVision Solutions

9d•$90,000 - $115,000•Remote

About The Position

As a Forward Deployed Engineer at FloVision Solutions, you will sit at the intersection of software engineering, customer success, and product development - owning the full arc from scoping solutions with customers in the field to implementing and monitoring them in production. This is not a traditional software engineering role: you will spend meaningful time embedded with customer teams, uncovering the real problems behind their stated ones, and building solutions that create immediate, measurable impact. We are on a mission to eliminate 1% of global CO2 emissions by minimizing food waste, and our customers are central to achieving that. You will be their primary technical partner and a direct contributor to the products they depend on. The ideal candidate is a strong generalist engineer who can quickly understand real-world problems, design pragmatic solutions, and implement them rapidly. You will have the opportunity to take ownership of deployments and product improvements that directly impact how our technology performs in production environments. This role works closely with FloVision Nano product and engineering teams and collaborates across software, hardware, and machine learning disciplines.

Requirements

Bachelor of Science (or equivalent practical experience) in Computer Science, Computer Engineering, or related field.
We care more about demonstrated ability to solve complex problems than years of experience.
Experience with Python for backend development and scripting.
Proficiency in designing and implementing RESTful APIs.
Solid SQL and database design skills, with attention to scalability and performance.
Experience with Docker.
Familiarity with AWS services such as Lambda, SageMaker, and Elastic Container Service.
Genuine comfort working in ambiguous, fast-changing environments where the problem definition may shift mid-project.
Excellent communication skills and the ability to collaborate with both engineers and non-technical stakeholders.

Nice To Haves

Experience developing and designing cloud-hosted production products.
Backend Frameworks: Experience with ExpressJS for server-side development.
Frontend Development: Experience with Flutter/ReactJS and implementing visuals from database results.
Experience developing or troubleshooting software for edge/IoT hardware devices.
Experience with CI/CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab.
Experience with AWS IoT or other IoT platforms.
Experience implementing machine learning model inference in production environments, particularly in systems involving cameras and sensors.
Background in programming and deploying computer vision solutions.

Responsibilities

Take full ownership of development for product features from initial concept through implementation, deployment, and ongoing monitoring in production environments.
Embed with customer teams to understand their workflows, technical environment, and the real problems driving their needs - not just the ones they articulate upfront.
Design, develop, and maintain scalable production environments for in-field devices and customer portals.
Create containerized solutions using Docker, especially for IoT devices with limited hardware capabilities.
Utilize AWS services like Lambda, SageMaker, and Elastic Container Service to optimize cloud solutions.
Structure and manage SQL databases for scalability and performance.
Proactively identify gaps in our product, tooling, or processes and advocate for the right fix, whether that's a quick patch or a roadmap item.
Contribute to internal knowledge-sharing so that hard-won lessons from customer deployments improve how the whole team operates.