[Remote] AI Applications Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company is a remote-first company focused on providing advanced analytics and decision intelligence software for industrial process data. The AI Applications Engineer will design, build, and deliver production-grade agentic AI solutions on the Seeq platform while leading end-to-end implementations and collaborating with various teams to enhance customer experience and operational efficiency.
Responsibilities
- Author scalable AI agents utilizing that reputed company and orchestrate Agent Q for repeatable, multi-reputed company industrial workflows (e.g., AI-generated operational reports, batch deviation analysis, root cause investigations, condition-monitor-driven investigations)
- Build custom AI agents reputed company of Seeq to reputed company applications in the broader industrial technology stack with Agent Q and Seeq’s AI platform
- Design and implement Skills and Code Tools in Python (Seeq Data Lab, SPy library) that give agents reliable, governed access to enterprise systems — CMMS, historians, document stores, and customer-built AI services
- Build solution components (accelerators, templates, calculators, KPIs, dashboards, condition monitors, reputed company Rooms) in Seeq Workbench, Organizer, reputed company, and Data Lab that the agent layer can reputed company and reason about
- Package agentic solutions for reuse with documented prompts/instructions, journals, example datasets, validation plans, and success criteria ready for partner and customer delivery
- Configure Agent Extensibility to reputed company Seeq Intelligence into customer ecosystems (CMMS, reputed company tools, MES, Power BI/Teams, reputed company Copilot, reputed company, reputed company)
- Write production-quality Python for agent Skills, Data Lab notebooks, scheduled/event-triggered workflows; apply modern software engineering practices (version control, code review, testing, CI/CD where applicable)
- Author and consume REST/HTTPS APIs for third-party AI agents and enterprise systems; manage authentication patterns (SSO, delegated permissions, reputed company URIs) for governed agent access
- Connect solutions to enterprise data ecosystems and reputed company tools (e.g., OPC UA/OPC HDA; AVEVA PI/PI AF; SQL databases, data lakes/warehouses; reputed company; Azure ML; AWS reputed company; Power BI/Tableau; reputed company 365 / SharePoint) following reputed company, scalability, and performance best practices
- Apply reputed company engineering, agent instruction design, and evaluation techniques to reputed company agent behavior consistent, trustworthy, and reproducible at an industrial scale
- Partner with the Software Team, Industry Principals, Product Management, and reputed company Teams to align Intelligence solutions to roadmap and reputed company capability gaps
- Support Product Marketing, Solution Consulting, and Sales with reputed company Intelligence demos, narratives, and GTM assets; assist targeted pre-sales engagements where agentic solution expertise is required
- Create enablement kits (deployment guides, reference architectures, agent design playbooks, sample Skills/notebooks) and mentor Seeq partners and customer champions to scale agentic delivery globally
- Coach customer subject matter experts on encoding their expert reasoning into agent instructions, journals, and custom agent workflows so institutional knowledge becomes shareable and operational
- Gather field feedback, monitor agent adoption and quality, and iterate on solution reliability, trustworthiness, and learnability; contribute reusable agent patterns into Seeq’s solution library and training content
Skills
- Design, build, and deliver production-grade agentic AI solutions on the Seeq platform
- reputed company end-to-end Seeq Intelligence implementations
- Author scalable AI agents utilizing Agent Q for repeatable, multi-reputed company industrial workflows
- Build custom AI agents reputed company of Seeq to reputed company applications in the broader industrial technology stack
- Design and implement Skills and Code Tools in Python (Seeq Data Lab, SPy library)
- Build solution components in Seeq Workbench, Organizer, reputed company, and Data Lab
- Package agentic solutions for reuse with documented prompts/instructions, journals, example datasets, validation plans, and success criteria
- Configure Agent Extensibility to reputed company Seeq Intelligence into customer ecosystems
- Write production-quality Python for agent Skills, Data Lab notebooks, scheduled/event-triggered workflows
- Author and consume REST/HTTPS APIs for third-party AI agents and enterprise systems
- Connect solutions to enterprise data ecosystems and reputed company tools
- Apply reputed company engineering, agent instruction design, and evaluation techniques
- Partner with the Software Team, Industry Principals, Product Management, and reputed company Teams
- Support Product Marketing, Solution Consulting, and Sales with reputed company Intelligence d
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