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Senior AI Engineer (Agentic Systems)

Posted on 17 November 25 by Deione Dawson

  • $ - $
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Job Description

Senior AI Engineer – Agentic Systems (100% Remote)

Location: 100% Remote (U.S.-based preferred)
Type: Full-time
Level: Senior / Staff-level Individual Contributor

Overview

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.


The Role

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.


What You’ll Do

  • 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


Required Qualifications

  • 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


Preferred Experience

  • 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

Job Information

Rate / Salary

$ - $

Sector

IT/Software/Technology

Category

AI/ML Product Engineering

Skills / Experience

Agentic AI system

Benefits

Not Specified

Our Reference

JOB-3660

Job Location