Principal AI Engineer

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Independent
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Computing
  • Docker
  • Evaluation
  • Generative Artificial Intelligence (AI)
  • Good Clinical Practice
  • Google Cloud Platform
  • Kubernetes
  • LangChain
  • LlamaIndex
  • Machine Learning (ML)
  • Management
  • Microsoft Azure
  • Orchestration
  • Use Cases
  • Prompt Engineering
  • Workflow
  • Reasoning
  • Reliability Engineering
  • Software Engineering
  • Startups
  • Vector Databases

Summary

Principal AI Engineer Multi-Agent RAG Systems

Duration: 6-Month Contract to Hire
Work Type: 100% Remote
Employment: W2 Only

Role Overview

We re looking for a Principal AI Engineer to design and build multi-agent AI systems powered by Retrieval-Augmented Generation (RAG). This role focuses on architecting scalable, production-grade LLM solutions with strong emphasis on agent orchestration, prompt frameworks, and system reliability.

Key Responsibilities

  • Architect and develop multi-agent AI systems for complex workflows and decision-making
  • Design, build, and optimize RAG pipelines (retrieval, reranking, context management)
  • Develop and standardize prompt engineering frameworks, guardrails, and evaluation suites
  • Fine-tune and evaluate LLMs for domain-specific use cases (reasoning, summarization, etc.)
  • Build and scale ML services and APIs in distributed environments
  • Collaborate with cross-functional teams to integrate AI solutions into production systems
  • Perform data preprocessing, feature engineering, and model evaluation
  • Troubleshoot and optimize AI applications in monorepo / large-scale environments
  • Stay current with advancements in GenAI, LLMs, and agent-based architectures

Required Qualifications

  • 8+ years of experience in software engineering / AI / ML roles
  • Strong hands-on expertise in Python
  • Proven experience with RAG (Retrieval-Augmented Generation) systems
  • Experience working with LLMs and Generative AI frameworks
  • Hands-on with LangChain, LlamaIndex, or similar agent frameworks
  • Solid understanding of vector databases (Pinecone, FAISS, Weaviate, etc.)
  • Experience designing scalable, production-grade ML systems
  • Strong background in prompt engineering and evaluation techniques

Preferred Qualification

  • Experience building multi-agent or autonomous AI systems
  • Exposure to fine-tuning LLMs and model optimization
  • Familiarity with Kubernetes, Docker, and cloud platforms (AWS/Google Cloud Platform/Azure)
  • Prior experience in high-scale or startup environments
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10238807
  • Position Id: 8958151
  • Posted 3 hours ago
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