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Agentic AI Engineer
Kelly Services
2 hours ago
Full-time
On-site
Dallas, Texas, United States
$125000 - $150000
Seeking an Agentic AI Engineer for a full-time, onsite opportunity in Dallas, TX (5 days per week onsite).
This role is with a venture-backed artificial intelligence startup focused on building autonomous AI systems for the middle market. The ideal candidate will help design and scale AI-powered engineering workflows, leveraging LLMs, agentic AI frameworks, automation platforms, and modern software engineering practices to transform how products are built and delivered. What makes this opportunity unique?
You'll join an early-stage startup that has secured funding and established initial customer traction, giving you the opportunity to influence both product and technical strategy. This is a highly visible role where you'll work directly with leadership to build the infrastructure, guardrails, and evaluation systems that enable AI-assisted development at scale. It's an ideal opportunity for someone who wants significant ownership, exposure to cutting-edge AI technologies, and the ability to shape how engineering teams leverage AI in the future. Required Skills & Experience
Experience building solutions with modern AI and LLM technologies
Strong software engineering and systems design experience
Experience with AI agents, orchestration frameworks, and development automation
Ability to design scalable workflows, evaluation frameworks, and engineering processes
Experience implementing software quality controls, testing frameworks, and automation
Desired Skills & Experience
Experience building agentic AI applications
Deep familiarity with LLM evaluation techniques
Experience developing internal developer platforms or tooling
Exposure to AI-assisted software development workflows
Startup experience
What You Will Be Doing
Tech Breakdown
40% Agentic AI Infrastructure & Orchestration
25% AI Evaluation & Quality Systems
20% Developer Productivity & Enablement
15% Security, Governance & Process Optimization
Daily Responsibilities
Build tooling and infrastructure that enables engineers to effectively leverage AI agents
Design context management, evaluation, and verification systems for AI-generated code
Establish guardrails, testing strategies, and quality controls for AI-assisted development
Measure and optimize engineering productivity through automation and analytics
Partner with engineering leadership to identify and implement best practices
The Offer
You will receive the following benefits: Eligible for Salary Bonus
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options
Strong Growth & Leadership Opportunity
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP's Employment Accommodation policy. Applicants need to make their needs known in advance.
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This role is with a venture-backed artificial intelligence startup focused on building autonomous AI systems for the middle market. The ideal candidate will help design and scale AI-powered engineering workflows, leveraging LLMs, agentic AI frameworks, automation platforms, and modern software engineering practices to transform how products are built and delivered. What makes this opportunity unique?
You'll join an early-stage startup that has secured funding and established initial customer traction, giving you the opportunity to influence both product and technical strategy. This is a highly visible role where you'll work directly with leadership to build the infrastructure, guardrails, and evaluation systems that enable AI-assisted development at scale. It's an ideal opportunity for someone who wants significant ownership, exposure to cutting-edge AI technologies, and the ability to shape how engineering teams leverage AI in the future. Required Skills & Experience
Experience building solutions with modern AI and LLM technologies
Strong software engineering and systems design experience
Experience with AI agents, orchestration frameworks, and development automation
Ability to design scalable workflows, evaluation frameworks, and engineering processes
Experience implementing software quality controls, testing frameworks, and automation
Desired Skills & Experience
Experience building agentic AI applications
Deep familiarity with LLM evaluation techniques
Experience developing internal developer platforms or tooling
Exposure to AI-assisted software development workflows
Startup experience
What You Will Be Doing
Tech Breakdown
40% Agentic AI Infrastructure & Orchestration
25% AI Evaluation & Quality Systems
20% Developer Productivity & Enablement
15% Security, Governance & Process Optimization
Daily Responsibilities
Build tooling and infrastructure that enables engineers to effectively leverage AI agents
Design context management, evaluation, and verification systems for AI-generated code
Establish guardrails, testing strategies, and quality controls for AI-assisted development
Measure and optimize engineering productivity through automation and analytics
Partner with engineering leadership to identify and implement best practices
The Offer
You will receive the following benefits: Eligible for Salary Bonus
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options
Strong Growth & Leadership Opportunity
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP's Employment Accommodation policy. Applicants need to make their needs known in advance.
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