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Remote position with mid-level appeal but niche ML/LLM specialization reduces applicant density.
LLM, agent, and Azure AI skills are broadly transferable across industries.
Requires hands-on production LLM experience and Microsoft Azure AI ecosystem expertise, creating strict technical filters.
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Own and evolve production-grade AI agents and modules, handling design, build, deployment, and scalability.
Drive model and technical strategy by selecting appropriate AI models balancing capability, cost, and latency; perform structured evaluations impacting product and costs.
Contribute to AI roadmap, product direction, and internal AI adoption to enhance workflows and create value in agri-food software solutions.
Proven experience designing and building production LLM-powered AI systems with prompt engineering and orchestration.
Hands-on experience with Microsoft AI ecosystem (Azure AI Foundry, Azure AI Projects SDK, and related services).
Strong skills in Python and TypeScript/JavaScript for AI integrations and production API development.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in managing AI agent architecture with a focus on scalability, maintainability, and high-quality production systems.
Skilled in making informed trade-offs across AI model providers like OpenAI, Anthropic, Google regarding capability, cost, and latency.
Able to independently lead technical and product trade-offs while collaborating closely with product and engineering leadership in an enterprise ag-tech environment.