Talantix.io
TRM Labs•14.02.26
AI SCORE 8.5

AI Agent Engineer - Remote Position at TRM Labs

$215K–$230K/year
RemoteWeb3
Python•LLM•Agentic Systems•LangChain•Vector Databases•Task Orchestration

About the Role

We are seeking an AI Agent Engineer to join our team at TRM Labs. This remote position offers the opportunity to work with a high-impact team dedicated to building a safer world through blockchain intelligence. As an AI Agent Engineer, you will play a crucial role in architecting and implementing robust AI applications, particularly focusing on Large Language Models (LLMs) and agentic systems.

What You'll Do

  • Architect and implement a robust agentic framework that supports tool use, context retrieval, memory, and planning.
  • Build intelligent, modular agents that automate investigative tasks and augment analyst decision-making.
  • Extend and scale our LLM infrastructure, including prompt engineering and evaluation loops.
  • Design safe, observable, and auditable agent behaviors to ensure reliability in high-sensitivity environments.
  • Evaluate performance across metrics like reasoning, latency, and success rate, iterating based on user feedback and system telemetry.
  • Contribute to a culture of high ownership, rapid experimentation, and ethical AI deployment.

Requirements

  • Strong engineering background with deep experience in backend or systems work (Python preferred).
  • Hands-on experience building with LLMs, agents, and tooling frameworks.
  • Comfort working with agentic pipelines and optimizing information flow into AI systems.
  • Thoughtful approach to system design, with an eye for safety, scalability, and explainability.
  • High product empathy - you care about how agents impact real users and optimize accordingly.
  • Bias toward experimentation and iteration.

Nice to Have

  • Previous experience with knowledge graphs, task orchestration, or AI safety.

What We Offer

  • Competitive salary range of $215,000 - $230,000 per year.
  • Eligibility to participate in TRM’s equity plan.
  • A fast-paced, high-velocity work environment focused on ownership and clarity.
  • Opportunities for rapid issue resolution and efficient knowledge transfer.
  • A collaborative and inclusive team culture that values diverse personalities.
  • Flexible working hours with a requirement for at least 4 hours overlap with PST business hours.
Why This Job8.5 of 10

Join TRM Labs as an AI Agent Engineer and work on impactful AI applications in a remote setting. Competitive salary and equity options.

Salary Range
Required
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Optional
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Bonus
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Who Will Succeed Here

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Proficient in Python with a strong understanding of frameworks such as FastAPI or Flask, enabling the development of scalable AI applications.

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Demonstrates expertise in Large Language Models (LLMs) and experience with LangChain for building agentic systems, showcasing a deep understanding of task orchestration and vector databases.

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Possesses a proactive mindset with a passion for continuous learning and innovation in AI technologies, thriving in a fully remote work environment by effectively managing time and collaboration tools.

Learning Resources

→Python for Data Science and Machine Learning Bootcampcourse
→LangChain Documentationguide
→Introduction to Vector Databasesarticle

Career Path

AI Agent Engineer(Now)→Senior AI Architect(1-2 years)→Lead AI Engineer(3-5 years)

Market Overview

Python Market Size 2024
$18.5B
Annual Growth
11.2%
AI Adoption in Python Development
65%
Investment in AI Tools and Frameworks
+150%
Labour Demand for AI Engineers
+32%
Avg Salary for AI Agent Engineers
$145K

Skills & Requirements

Required
PythonLLMAgentic Systems
Growing in Demand
Machine LearningData EngineeringCloud Computing
Declining
PerlRuby on Rails

Domain Trends

Rise of Large Language Models (LLMs)
The usage of LLMs in production environments has increased by 40% in the last year, driving demand for engineers skilled in integrating these models.
Adoption of Vector Databases
Vector databases are becoming essential for AI applications, with a 50% increase in adoption among enterprises for managing unstructured data.
Task Orchestration in AI Workflows
Companies are increasingly investing in task orchestration tools, with a growth rate of 30% as organizations seek to optimize AI agent workflows.

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