Permanent
Posted on 17 November 25 by Deione Dawson
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Location: 100% Remote (U.S.-based preferred)
Type: Full-time
Level: Senior / Staff-level Individual Contributor
We are an AI software development company building next-generation, production-grade agentic systems for industrial enterprises. We are seeking a senior+ AI Engineer to own and lead the design and implementation of an agentic AI system that converts user intent into fully functional visualization dashboards inside an existing industrial process visualization platform.
Our platform serves highly regulated, mission-critical industries including oil & gas, pharmaceuticals, power, and utilities, and is used by many of the world’s largest industrial manufacturers.
This is not an AI research, ML training, or chatbot role. The focus is production agentic AI engineering—systems that reason, execute code, interact with software platforms, and reliably deliver real outcomes.
You will be the technical owner of AI engineering, responsible for defining system architecture, building core agentic capabilities, and collaborating closely with Product, QA, and Documentation teams. You will design AI systems that can plan, act, evaluate results, and iterate—while meeting enterprise standards for reliability, security, and observability.
We are specifically looking for candidates who have already built agentic systems that execute code and/or control software, not just prompt-based assistants or chatbots.
Architect and implement a production-grade agentic AI system that assembles visualization dashboards from existing platform components
Design agents that orchestrate multi-step workflows, including planning, execution, validation, and iteration
Build pipelines for ingesting, parsing, chunking, and retrieving technical documentation
Integrate agents with existing front-end and back-end systems, internal APIs, and external AI services
Define execution loops, state management, and agent “skills” specific to the platform
Collaborate with QA teams on ground-truth evaluation, testing strategies, and guardrails
Partner with documentation and value teams to develop clear agent instructions and constraints
Design systems with strong emphasis on privacy, traceability, governance, and enterprise reliability
Establish and maintain long-term AI architecture standards
Senior-level experience building production AI systems
Proven experience building agentic systems that:
Write and execute code
Interact with live UIs (GenUI / active agents)
Interface with existing software platforms
Iterate based on execution results
Demonstrated expertise in agentic architecture design, including:
Multi-step reasoning
Execution loops
State management
Platform-specific agent skills
Strong production software engineering fundamentals:
System design
Testing strategies
Observability and monitoring
Performance and maintainability
5+ years of professional software development experience
API design and integration experience:
Internal APIs
External AI services
Deterministic, testable agent behavior
Hands-on experience with knowledge retrieval systems, including:
Document ingestion and parsing
Chunking strategies for real-world technical documents
Embeddings and vector stores
Familiarity with AI-specific quality and evaluation methods, including collaboration with QA/QC teams
Experience working in regulated or security-critical enterprise environments, with strong awareness of:
Data privacy
Isolation and governance
Controlled information flow
Ability to clearly explain and diagram system architecture
Self-starter comfortable owning complex systems and working autonomously
Collaborative, open, and constructive mindset
Industrial, engineering, or process-domain experience (oil & gas, pharma, power, utilities, etc.)
Familiarity with:
Industrial process diagrams or schematics
Industrial data historians
Analytics or visualization platforms