AI Engineer

Motion Recruitment Partners LLC.
United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$120,000.0 - $220,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computer Programming Programming Tools Distributed Systems Python (Programming Language) Software Engineering TypeScript Google Cloud Cloud Platform System Large Language Models
+9 more
Multi-Agent Systems Event Driven Architecture AI Platforms Kubernetes Apache Kafka Free and Open-Source Software Virtual Agents Data Pipelines Golang

Job description

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.

Requirements

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., * 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

Benefits & conditions

  • 40% LLMs / Agentic AI Systems
  • 30% Backend Engineering (APIs, Distributed Systems)
  • 20% Cloud & Infrastructure (AWS/Google Cloud Platform, Kubernetes)
  • 10% AI Tooling & Evaluation

The Offer

  • Bonus eligible

You will receive the following benefits:

  • 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

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