Senior AI Engineer | LLM | Agentic Platforms

About the role

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/GCP, 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.

Responsibilities

• Work on autonomous AI systems that can reason, act, and adapt across complex workflows.
• Thrive in ambiguity and push AI into meaningful, real-world applications.
• Gain exposure to enterprise-scale AI challenges, cutting-edge tooling, and a culture that emphasizes growth, and innovation.

Requirements

• 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 GCP) 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/GCP, Kubernetes)
• 10% AI Tooling & Evaluation

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