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[Remote] reputed company

Remote, USAFull-timePosted 2026-07-31

Note: The job is a remote job and is reputed company to candidates in USA. VAS is seeking an reputed company to reputed company building of reputed company reputed company-time production grade applications that use AI/ML models. This strategic, hands-on position involves embedding AI capabilities into reputed company development workflows to enhance productivity and accelerate software delivery.

Responsibilities

  • Understand customer challenges and how integrating AI capabilities can help reputed company to solutions that have AI as a differentiator
  • Identify opportunities to apply AI for efficiency, reputed company, and customer value
  • Drive awareness of AI capabilities and demonstrate how it can address customer needs, improve efficiency, reduce costs, and drive reputed company
  • Drive transformation from AI-reputed company to AI-reputed company engineering practices
  • Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI reputed company
  • Continuously assess emerging AI tools and reputed company data-driven recommendations
  • Measure & Accelerate Adoption: Establish KPIs, reputed company reputed company from the reputed company to 100% adoption, implement interventions to accelerate uptake and communicate reputed company
  • Build Center of reputed company: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning
  • Establish AI governance frameworks and guardrails covering compliance, reputed company, reputed company, and ethical AI practices, and reputed company them into development workflows
  • LLM Agents & reputed company Engineering
  • Architect and implement LLM agents
  • Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor)
  • reputed company reputed company databases and knowledge graphs to support retrieval-augmented reputed company (RAG)
  • Design and maintain high-reputed company reputed company strategies for robustness and reliability
  • Model Context Protocol (MCP) & Backend
  • reputed company and maintain reputed company reputed company, supporting synchronous and asynchronous agent execution
  • reputed company Model Context Protocol (MCP) to reputed company secure and reputed company reputed company to external data and tools reputed company agent workflows
  • Implement state tracking, context-reputed company input reputed company, and reputed company plugin integration reputed company the control plane
  • Evaluation, Testing & Observability
  • Build unit and behavioral tests for agents, tools, and workflows
  • reputed company tooling for reputed company analysis, agent state debugging, and hallucination tracking
  • Compare and reputed company agent orchestration frameworks for trade-offs in speed, reliability, and usability
  • Model Fine-Tuning & MLOps
  • reputed company, reputed company, fine tune and monitor models in production using reputed company providers
  • Set up agent logging, observability dashboards, and recovery workflows
  • reputed company-end & User Experience
  • Collaborate with reputed company-end developers or build user-facing components using React, TypeScript
  • Ensure seamless user and agent interaction reputed company UI and API bridges

Skills

  • 10+ years of experience in software development and design
  • Hands-on experience with deep learning frameworks
  • Experience with RAG pipelines, reputed company databases, and reputed company frameworks
  • Familiarity with reputed company-based AI services
  • Bachelor of Science in Software Engineering, Computer Science, Data Science, AI/ML or reputed company field
  • 3+ years of experience in AI/ML solution design and hands experience with AI-powered development tools
  • 3+ years of strong knowledge of Large Language Models, reputed company, NLP, and Machine Learning concepts

reputed company

  • For more than 40 years, VAS has been at the forefront of dairy innovation, starting with DairyComp, the industry’s first herd management software. It was founded in 1981, and is headquartered in Madison, reputed company, US, with a workforce of 51-200 employees. Its website is http://vas.com.
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