AI Application Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design, construct, and implement production-quality agentic AI solutions on the Seeq platform tailored for process manufacturers.

• Oversee comprehensive Seeq Intelligence deployments from identifying use cases and solution architecture to developing Python-based agents and Skills, along with enablement and lifecycle management.

• Create scalable AI agents that enhance and orchestrate Agent Q for consistent multi-step industrial processes.

• Develop custom AI agents that integrate broader industrial technology ecosystems with Agent Q and Seeq’s AI platform.

• Design and execute Python Skills and Code Tools within Seeq Data Lab and the SPy library.

• Create accelerators, templates, calculators, KPIs, dashboards, condition monitors, and Vantage Rooms using Seeq Workbench, Organizer, Vantage, and Data Lab.

• Package agentic solutions complete with documented prompts, journals, sample datasets, validation strategies, and success metrics.

• Set up Agent Extensibility integrations with CMMS, integrity tools, MES, Power BI/Teams, Microsoft Copilot, Snowflake, and Databricks.

• Write production-quality Python for agent Skills, notebooks, and workflows that are either scheduled or event-triggered.

• Create and utilize REST/HTTPS APIs while managing authentication methods such as SSO, delegated permissions, and SAS URIs.

• Connect solutions to enterprise data ecosystems and downstream tools while adhering to security, scalability, and performance best practices.

• Utilize prompt engineering, agent instruction design, and evaluation methodologies.

• Collaborate with Software, Industry Principals, Product Management, and Revenue Teams.

• Provide support to Product Marketing, Solution Consulting, and Sales through demos, narratives, GTM assets, and pre-sales activities.

• Develop enablement kits and mentor partners and customer champions.

• Guide customer SMEs in encoding expert reasoning into agent instructions, journals, and Custom Agent workflows.

• Collect field feedback, track agent adoption and quality, and enhance solution reliability, trustworthiness, and learnability.

• Contribute reusable agent patterns to Seeq’s solution library and training materials.

⛳️ Requirements

• Proficiency in software development using Python, focusing on maintainable code, packaging, REST APIs, and libraries such as Pandas.

• Familiarity with contemporary AI/LLM tooling concepts, including prompts, tool/function calling, retrieval, evaluation, and agent orchestration.

• Practical experience in designing, building, and deploying AI agents or LLM-based workflows.

• Background in prompt engineering, tool/skill design, and multi-step reasoning.

• Experience in process manufacturing sectors such as O&G, Chemicals, Pharma, Power, Pulp & Paper, Food & Beverage, Semiconductor, or similar industries.

• Expertise in time series analytics, encompassing feature engineering, event/condition detection, asset segmentation, anomaly/quality logic, and KPI design.

• Experience with historian and OT data platforms including AVEVA PI, IP.21, DeltaV, Wonderware, Canary, or GE Proficy.

• Proficient in Seeq with hands-on skills in Workbench, Organizer, Vantage, and Data Lab.

• Customer-facing experience in leading pilots/POCs to production.

• A Bachelor's degree (or higher) in a relevant technical field or equivalent relevant experience.

• Preferred qualifications include experience with Microsoft Copilot/Copilot Studio, SharePoint, Power Platform, Microsoft Fabric, CMMS, cloud/data platforms, Git, code review, unit testing, CI/CD, containerization, observability/logging, and secure credential management.

• Strong technical communication skills across SME, managerial, and executive levels.

• Capability to work remotely across different time zones.

• Occasional travel to customer sites, partner locations, or events may be necessary, typically ranging from 20–40%.

🏝️ Benefits

• Unlimited PTO.

• Reimbursements for internet and mobile phone expenses.

• Vacation bonus program.

• Generous home office allowance.

• Pet-friendly work environment.