Ph3AI Engineer (Full Stack) - RD IT /h3 pbLocation: /b US - Watsonville, California /p pbJob Family: /b IT /p pbTime Type: /b Full time /p pbJob Requisition ID: /b R /p pbExperience Years: /b 5-10 Years of Experience /p pbEmployee Type: /b Regular /p pbRemote Type: /b Onsite /p pDriscoll’s is building an AI‑assisted RD capability to modernize how data, software, and decision support come together across breeding, genomics, lab, phenotyping, sensory, and agronomy workflows. This role sits within an emerging RD IT function embedded in Global RD and works closely with scientists, breeders, product leads, and Global IS to turn ambiguous scientific needs into production‑ready tools. /p h3Responsibilities /h3 ul liBuild end‑to‑end solutions within the Driscoll’s RD IT ecosystem, including helping evolve the underlying infrastructure and delivery patterns. /li liDesign, build, and ship full‑stack applications that support RD workflows and decision‑making across breeding, lab, genomics, phenotyping, sensory, and agronomy use cases. /li liDevelop scalable services, APIs, workflow automations, and modern user interfaces using technologies such as React, TypeScript, Node.js/Express, Python, FastAPI, and relational databases. /li liIntegrate internal tools, vendor platforms, and off‑the‑shelf systems through APIs, data flows, authentication/authorization, and workflow automation. /li liBuild AI‑enabled applications such as grounded assistants, retrieval‑augmented experiences, workflow copilots, evaluation dashboards, and decision‑support interfaces. /li liOwn the full software lifecycle for what is built: requirements translation, prototyping, development, testing, deployment, monitoring, maintenance, support, and iterative improvement. /li liPartner closely with scientists, breeders, analysts, and business stakeholders to translate ambiguous problems into usable, reliable products. /li liHelp embed AI into real workflows with appropriate traceability, security, auditability, and human oversight. /li liContinuously evaluate how modern AI is changing software paradigms, and apply AI tools to improve engineering practices, team productivity, and solution quality. /li liContribute to governed AI delivery by ensuring applications are secure, observable, maintainable, and aligned with approved architecture and data patterns. /li liCollaborate with the AI / MLOps Architect on model integration, serving patterns, evaluation flows, observability, and production operations. /li liContribute to architecture discussions, design reviews, backlog shaping, and solution tradeoff decisions. /li liCommunicate effectively, both verbally and in writing, with technical and non‑technical teams. /li liDomestic and international travel required up to 10%. /li liRepresent Driscoll’s in an ethical and professional manner during all interactions with growers, co‑workers, suppliers, customers, and the business community at large. /li liEnsure the security of Driscoll’s confidential and proprietary information and materials. /li /ul h3Candidate Profile /h3 ul li5+ years of experience in software engineering, full‑stack development, or product engineering, including ownership of production systems. /li liExpert‑level hands‑on experience across modern full‑stack technologies such as PostgreSQL/MySQL, Node.js/Express, TypeScript, React, Python, and FastAPI. /li liStrong software engineering fundamentals, including API design, data modeling, testing strategies, observability, secure design, and maintainable architecture. /li liDemonstrated ability to own problems end‑to‑end and ramp quickly across unfamiliar domains, technologies, and workflows. /li liExperience building integrations across internal platforms, vendor systems, APIs, and workflow tooling. /li liExperience shipping cloud‑based applications with CI/CD, source control, containerization, and modern developer tooling. /li liStrong communication skills; able to explain tradeoffs, architecture, and design decisions to both technical and non‑technical stakeholders. /li liAbility to work effectively in a dynamic, cross‑functional environment while living Driscoll’s values of passion, humility, and trustworthiness. /li liStrong experience with Microsoft product suite, including Visio, Excel, PowerPoint, Word, Teams, and SharePoint required. /li liTravel and after‑hours support required. /li /ul h3Preferred Qualifications /h3 ul liDepth in data engineering, ML engineering, or applied data science. /li liExperience integrating LLMs into products, including retrieval systems, prompt orchestration, evaluation workflows, fine‑tuning patterns, or human‑in‑the‑loop experiences. /li liExperience building governed data or AI products with lineage, access controls, audit logs, quality gates, and approval flows. /li liProfessional experience with DevOps, cloud security, and infrastructure‑as‑code using tools such as GitHub, Docker, and AWS. /li liExposure to AI pipeline operations such as auto‑labeling, validation, model training, deployment, or evaluation. /li liExposure to edge inference, computer vision, or embedded systems is a plus. /li liExperience in both in‑house development solutions and implementation of vendor‑delivered applications preferred. /li liExperience with scientific data systems, breeding platforms, lab systems, phenotyping pipelines, or similar RD/life sciences environments. /li liBackground in ag‑biotech, life sciences, or high‑throughput scientific workflows preferred. /li liA valid passport and the ability to travel internationally without restrictions. /li /ul h3Compensation Benefits /h3 pSalary Range for the AI Engineer (Full Stack) – RD IT role: $105,930.00/year to $135,590.00/year. /p pDriscoll’s offers an attractive benefits package that varies between locations and may include: comprehensive medical, dental, and vision coverage, life insurance, disability coverage for positions working more than 30 hours per week, 401(k) with employer match, profit‑sharing participation, paid sick time, paid vacation, paid personal and family care leave, and a free Employee Assistance Program (EAP). Detailed benefits specific to your geographic location will be shared during the application process. /p /p #J-18808-Ljbffr