Applied AI Product Systems Associate

Company Description: BirdBudz is an AI-assisted bird health screening and reporting platform designed to improve how early observations are captured, organized, and shared across poultry, animal health, and wildlife settings.The platform combines images with observations such as behavior, mortality, feed and water changes, timing, and environmental conditions to create structured reports for review by the appropriate animal health or operations team.BirdBudz is non-diagnostic. The platform is designed to support earlier reporting, better information capture, and expert review—not replace veterinary judgment.
About the Role:We are looking for an Applied AI & Product Systems Associate to help improve and expand the BirdBudz platform as it moves into broader real-world use.This is a hands-on technical role that combines applied AI, computer vision, product development, data workflows, system evaluation, and product reliability.You will help improve AI-assisted workflows, evaluate system performance, build product features, analyze errors and edge cases, and turn feedback from veterinarians, poultry operators, researchers, and other users into practical product improvements.You will work closely with the founder and contribute directly to product development, testing, and field-validation efforts.
What you will do:Develop and improve applied AI and computer vision workflowsWork with image, multimodal, and structured observation dataBuild and refine features across web and mobile workflowsSupport APIs, databases, data pipelines, and system integrationsEvaluate model performance, confidence, failure modes, and edge casesDevelop testing and quality processes for AI-assisted featuresInvestigate technical issues and improve system reliabilityIntegrate new models, data sources, and supporting servicesAnalyze real-world product usage and validation resultsTranslate user and domain-expert feedback into technical improvementsDocument technical decisions, evaluation methods, and product changesContribute to pilot programs and field-validation activities
What we are looking for:
2–4 years of relevant experience in software development, applied AI, machine learning, or product engineering preferredStrong Python and software engineering fundamentalsExperience building AI or machine learning applicationsExperience with computer vision, multimodal AI, or image-processing systemsFamiliarity with LLM-based applications and modern AI architecturesExperience with APIs, databases, cloud infrastructure, or data pipelinesAbility to work across backend systems and product functionalityUnderstanding of model evaluation, uncertainty, reliability, and failure modesStrong debugging and analytical skillsAbility to work independently in an early-stage environmentClear technical communication and documentation skillsExperience in animal health, AgTech, biology, veterinary technology, scientific applications, or production machine learning systems is valuable but not required.A bachelor’s degree in computer science, engineering, data science, or a related field is preferred. Equivalent practical experience and a strong record of building working systems will also be considered.
Location & Engagement:Remote, United StatesPreference for candidates based in the NortheastOccasional in-person meetings in New JerseyPart-time or contract initially, approximately 15–25 hours per weekPotential to expand based on company needs and performanceCandidates must be authorized to work in the United StatesVisa sponsorship is not available at this time
What Matters to Us:We are looking for someone who can turn AI capabilities into reliable products that work in real-world environments.
We care about what you have built, how you think about system behavior and failure, and how you approach real user problems—not just your job title or credentials.Learn more