Principal AI Engineer

CHI Software is a global software development services provider delivering AI-driven solutions, cloud services and data engineering across EdTech, FinTech, HealthTech. We help businesses modernize, scale, and unlock new value through the latest technologies.
We are looking for a Principal AI Engineer.

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)