Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Senior AI Engineer (LLMs / Agents)

Job

Rise Technical

Remote

$215,000 Salary, Full-Time

Posted 6 days ago (Updated 2 days ago) • Actively hiring

Expires 7/22/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Senior AI Engineer (LLMs / Agents) at Rise Technical Senior AI Engineer (LLMs / Agents) at Rise Technical in Chelsea, Massachusetts Posted in 1 day ago.
Type:
full-time
Job Description:
Senior AI Engineer (LLMs / Agents) Boston, Massachusetts (Hybrid / Remote) $180,000 - $250,000 + Equity + Healthcare + PTO Are you a Senior AI Engineer with experience building production-grade LLM systems looking to take ownership of autonomous, multi-agent architectures within a high-growth cybersecurity AI start-up? This is an opportunity to join a fast-growing AI company developing next-generation autonomous offensive security platforms. You will join a specialized AI engineering team and play a critical role in advancing their flagship platform, moving the needle on complex problems like exploit chaining, multimodal vision, and co-evolutionary self-training loops. In this role, you will design, implement, and optimize highly sophisticated multi-agent architecture, while contributing directly to model fine-tuning and production scalability. Working closely with engineering leadership and cross-functional teams, you will transition advanced multi-agent systems from cutting-edge experimentation into robust, production-ready enterprise solutions. This role would suit an AI Engineer who enjoys solving deep, technical agent-orchestration challenges and wants to be a foundational builder of autonomous, self-improving security systems.
The Role:
  • Design and improve multi-agent architectures, planning loops, and tool-use
  • Contribute to model training via data curation, Supervised Fine-Tuning, and preference optimization (DPO/GRPO)
  • Build evaluation harnesses to track model and agent performance
  • Optimize inference for latency and throughput using vLLM or TensorRT-LLM
  • Deploy and scale production agents within Kubernetes environments
The Person:
  • Experience building production ML systems, with a strong focus on LLMs or LLM-powered agents
  • Strong Python programming alongside PyTorch and Hugging Face
  • Experience with Supervised Fine-Tuning, preference optimization, and synthetic data generation
  • Experience shipping multi-agent or tool-using LLM systems to production
  • US Citizen