Forward Deployed Engineer

FloVision Solutions is a remote-first startup focused on improving the food supply chain, starting with protein processing. We design computer vision and machine learning-assisted production processes to reduce food waste, improve QA, and enhance staff skills, using proprietary hardware and software to solve customer problems.

FloVision Solutions is a U.S.-based series A startup with a remotely distributed team across the USA, UK and Ireland.

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.

Location & Travel

This role is a full-time remote position, with the option to work hybrid in Chicago. Occasional travel may be required for the following:

• Customer site visits (10-15% travel, depending on project and individual preferences).
• Team meetups and collaborative work sessions two to four times per year.

• 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.

• 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.

• 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.

Throughout the process, you'll have multiple opportunities to showcase your skills and experience, and we will aim to keep communication transparent and timely as we move through each step.

• Stage 1: Application & Intro Video - As part of your application, please submit a short 1–2 minute video introducing yourself and sharing why you’re excited about this role at FloVision Solutions. This helps us get to know you beyond your resume and understand what draws you to our mission. Your video doesn’t need to be polished - a simple phone recording is perfect. Applications without a video will not be considered.
• Stage 2: Behavioral Interview (via Google Meets)
• Stage 3: Technical Interview (via Google Meets)
• Stage 4: Final Interview (via Google Meets)
• Stage 5: Job Offer - Upon successful completion of all interview stages, selected candidates will receive a formal job offer.

• Home Office Stipend
• Flexible Schedule
• Medical Insurance
• Dental Insurance
• Vision Insurance
• 401(k) Plan
• Health Savings Account (HSA)

Impactful Work - Contribute to meaningful projects that directly affect sustainability and the global food industry. Your voice impacts decisions on day one.

Collaborative Environment - Work closely with a dedicated team of professionals passionate about making a difference.

Growth Opportunities - Expand your skill set by tackling diverse challenges across the full tech stack.

Flexible Work Arrangements - Enjoy the flexibility of a remote position with opportunities for in-person collaboration. Flexible work hours allow you to plan work around your life, not the other way around.

At FloVision Solutions, we believe innovation stems from diverse perspectives. We are committed to creating a workplace that supports and includes a variety of voices and identities. Candidates from all backgrounds and experiences are encouraged to apply.