Avatar for Precognition Labs
AI native transformation for Trust & Safety operations

Junior AI Engineer, LLMs & Agents

  • $60k – $120k • 0.0% – 2.0%
  • |
  • |1 year of exp
  • |Full Time
Posted: today• Recruiter recently active
Job Location
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Available

RelocationAllowed
Skills
Python
Git
NLP
ML
CI/CD
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI

About the job

About Precognition Labs:
Precognition Labs builds AI agentic systems that expand review and investigation capacity for Trust & Safety, Fraud, Risk & Compliance teams. We focus on high-impact applications of AI where precision, reliability, and responsible deployment are essential. Our team works on technology that directly improves how organizations protect their users and platforms, while shaping the future of AI-driven risk and safety operations.

The role:
As a Junior AI Engineer, you’ll build and ship well-scoped features in production AI systems that support large-scale review, investigation, and decision-making workflows. You’ll work closely with senior engineers and domain experts, learn quickly, and grow into owning larger pieces of our agentic platform.

What you’ll do:
Build and ship features in production AI systems, from implementation through deployment
Develop and improve RAG pipelines, AI agents, and LLM-powered workflows
Write clean, tested Python and contribute to our testing, CI/CD, and monitoring practices
Work with product and domain experts to understand requirements and measure success

What we’re looking for:

  • 1–5 years of software engineering experience
  • 1+ years building at least one of the following: cutting-edge RAG systems, AI agents, LLM fine-tuning, or LLM context engineering
  • Strong computer science fundamentals: algorithms, data structures, and software engineering principles
  • Proficiency in Python
  • Clear communication and the ability to work independently
  • A degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience

Nice to have:

  • Background in Trust & Safety, fraud detection, risk management, or related domains
  • Experience with evaluation frameworks or human-in-the-loop review systems

Who thrives here:
We’re a small team, so the people who do best here care about AI and safety, bring expertise that makes everyone around them sharper, and enjoy finding a way forward on hard problems. They move quickly, take ownership without waiting to be asked, and put real energy into the work while keeping a clear sense of what matters most.

Location:
Hybrid, Seattle: 3 days a week in office. Relocation support available for candidates moving to Washington. Visa sponsorship is available for H-1B transfers only; we’re unable to sponsor new visas at this time.

Compensation:
Base salary of $60K–$120K depending on experience, plus a 25% annual target performance bonus and 0–2% equity over 4 years, scaled by experience.

Precognition Labs is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

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