APPLYDJINN
Vacancy catalog
CHI Software
Open role>14 days

Principal AI Engineer

CHI Software
Work model
Not specified
Experience
7+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
16 tags

Technology context

16

Parsed from the vacancy text; ordered by relevance to this role.

AILLMDistributed SystemsGenAIAI-Assisted DevelopmentDatabasesPythonRAGMLOpsAI EvaluationLangChainScalabilityLlamaIndexVector DatabasesCI/CDAutomation

Full listing

Role description

We're looking for a Principal AI Engineer to shape the architecture, strategy and technical evolution of enterprise-scale AI platforms and GenAI-powered products.

This is a hands-on technical leadership role for an experienced engineer who can operate at both architectural and implementation levels, influence multiple teams and turn AI capabilities into scalable, production-ready solutions.

Key Responsibilities

  • Define and own the architecture and technical direction of enterprise AI platforms.
  • Lead the development of RAG pipelines, AI orchestration, and reusable AI tooling.
  • Design and build scalable, production-grade AI systems and POCs.
  • Establish standards for AI quality, evaluation, governance, observability, and MLOps.
  • Drive cross-team architecture decisions, resolve technical trade-offs, and align engineering teams.
  • Shape AI-driven SDLC practices, including AI-assisted development, automation, and guardrails.
  • Mentor senior engineers and raise engineering quality through architecture and code reviews.
  • Collaborate closely with Product, Data, Security, and Infrastructure teams.

Technical & Leadership Profile

  • Extensive software engineering experience at Staff/Principal level, with a proven ability to shape architecture and technical direction.
  • Strong Python engineering background and hands-on experience building production AI systems.
  • Deep understanding of LLM applications, RAG, vector databases, retrieval infrastructure, semantic search.
  • Experience with LangChain, LlamaIndex, or similar AI frameworks.
  • Strong background in distributed systems, APIs, data pipelines, event-driven architectures and high-scale platforms.
  • Experience with AI evaluation, model lifecycle management, observability, MLOps.
  • Hands-on experience with AI coding assistants such as Claude Code, GitHub Copilot, or Cursor, with a clear understanding of their impact, workflows, and guardrails.
  • Proven ability to lead cross-org technical initiatives and architectural change without formal authority.
  • Strong engineering fundamentals across code quality, testing, CI/CD, observability.
  • Excellent communication, documentation, mentoring, stakeholder management skills

Work format: Remote Working hours: Pacific Time Zone (PT)