AI/LLM Architect

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November 25

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Techery

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Artificial Intelligence • Enterprise • SaaS

Techery is a technology and consulting firm that helps enterprises and SMBs modernize legacy systems, identify high-ROI AI use cases, and build AI-enabled products and mobile-first customer experiences. They offer end-to-end services including system studies, AI strategy and execution, engineering and modernization, revenue and growth enablement, and SaaS solutions (e. g. , Treel AI, Treel Ecom, AppSpector). Techery focuses on embedding AI into workflows to improve customer support, sales, and operational efficiency for industries like regional banking, direct selling, retail, and more.

51 - 200 employees

Founded 2007

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Design and implement AI systems that deliver personalized coaching through dynamic programs • Build autonomous agent systems that proactively monitor user engagement, detect coaching opportunities, and trigger appropriate interventions without human oversight • Architect AI-driven UI systems where interface elements, user flows, and content presentation are dynamically generated and adapted by AI based on user context and program requirements • Develop AI analytics capabilities that help program creators monitor participant progress and identify coaching opportunities • Create efficient data models and queries that capture coaching relationships, program structures, user progress, and interaction patterns • Build and optimize AI workflows that scale expertise while following structured coaching programs • Design agent orchestration systems that coordinate between conversational interfaces and background analytical agents • Collaborate with frontend teams to define how AI systems generate and control UI components dynamically • Implement systems for continuous AI improvement based on user engagement and program effectiveness data • Collaborate across engineering teams to integrate AI functionality with frontend and database components • Optimize AI performance and reliability in our Cloudflare-based environment

🎯 Requirements

• 4+ years of experience with AI/ML systems, with significant focus on language models • Real experience building agentic systems, not just chatbots - our platform requires both conversational AI interfaces and sophisticated background agents that autonomously monitor progress, analyze patterns, and trigger interventions • Proven experience building production applications with LLMs that go beyond simple Q&A - including multi-step reasoning, goal-oriented behavior, and autonomous decision-making • Experience with major LLM providers (OpenAI, Anthropic, Google, etc.) - with preference for Google Gemini experience given our tech stack • Strong expertise in prompt engineering for both interactive and autonomous agent behaviors • Experience with LLM function calling and structured outputs • Experience designing AI systems that generate dynamic UI components and structured data for frontend consumption • Deep understanding of AI context management, retrieval, and memory systems • Proficiency with structured output frameworks for controlling LLM behavior and reasoning patterns • Experience designing and implementing agent orchestration systems that coordinate multiple AI workflows • Experience with SQL databases, including both raw SQL and ORM tools like Drizzle • Knowledge of vector databases for AI applications and similarity search • Strong algorithmic background and problem-solving skills • Ability to stay current with the latest AI research and implement emerging best practices.