What are the responsibilities and job description for the Senior AI Engineer/ Agentic Al/ Phoenix position at Motion Recruitment Partners, LLC?
Join a cutting-edge team building next-generation AI systems in a U.S.-based hybrid/remote environment as a full-time Senior AI Engineer II. You'll work with modern technologies including LLMs, Python, Go, TypeScript, AWS/Google Cloud Platform, Kubernetes, and agentic AI frameworks to develop intelligent systems that power autonomous workflows, decision-making, and customer-facing experiences, within a highly secure and compliant environment.
You'll be working on autonomous AI systems that can reason, act, and adapt across complex workflows. They're looking for engineers who thrive in ambiguity and want to push AI into meaningful, real-world applications. In return, you'll gain exposure to enterprise-scale AI challenges, cutting-edge tooling, and a culture that emphasizes growth, and innovation.
Required Skills & Experience
Desired Skills & Experience
Tech Breakdown
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
You'll be working on autonomous AI systems that can reason, act, and adapt across complex workflows. They're looking for engineers who thrive in ambiguity and want to push AI into meaningful, real-world applications. In return, you'll gain exposure to enterprise-scale AI challenges, cutting-edge tooling, and a culture that emphasizes growth, and innovation.
Required Skills & Experience
- 8 years of software engineering experience with production-level ML/LLM systems
- Programming experience in Python, Go, or TypeScript
- LLMs, agentic systems, or applied AI architectures
- Backend engineering expertise across APIs, distributed systems, and data pipelines
- Cloud environments (AWS and/or Google Cloud Platform) and Kubernetes
- Strong understanding of schema design, validation, and state management
- AI-assisted development workflows
- Building and shipping systems used by real users
Desired Skills & Experience
- Building AI systems in regulated environments
- RAG pipelines, vector databases, and AI evaluation tooling
- Kafka or event-driven architectures
- Experience contributing to shared AI platforms or infrastructure
- Open-source contributions in AI or developer tooling
- Startup or early-stage engineering experience
Tech Breakdown
- 40% LLMs / Agentic AI Systems
- 30% Backend Engineering (APIs, Distributed Systems)
- 20% Cloud & Infrastructure (AWS/Google Cloud Platform, Kubernetes)
- 10% AI Tooling & Evaluation
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options (where applicable)
- Competitive salary: $120,000 - $220,000
- 6% retirement match
- 20 weeks paid parental leave
- Flexible work model (hybrid/remote options)
- Wellness programs and financial coaching
- Career development and training opportunities
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Salary : $120,000 - $220,000