Principal AI Engineer

O2 Technologies,Inc; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

O2 Technologies,Inc is seeking a senior AI/ML Platform Engineer in Dallas to drive AI-driven SDLC, design scalable AI platforms, and enforce guardrails and safety standards. You will architect pipelines, implement observability, and advance production-grade AI systems for enterprise-scale GenAI workloads.

Responsibilities include building RAG pipelines, evaluating LLMs, and integrating vector search and observability tooling across cloud environments.

Qualifications

• Bachelor's degree in CS/SE/AI/ML required; advanced degrees preferred.
• Experience with large-scale distributed systems in cloud/SaaS contexts.
• Strong ML system development and MLOps familiarity.

Responsibilities

• AI-driven SDLC and production AI system development.
• AI Platform Architecture Design and engineering quality.
• Observability and monitoring of AI systems.
• RAG pipelines and LLM evaluation frameworks.
• Guardrails and AI safety standards enforcement.
• Vector search and embedded infrastructure work.

Skills

Claude Code

Python

LangChain

LlamaIndex

TensorFlow

PyTorch

Vector Search

MLOps Platforms

GitHub Actions

Cloud Infra

REST / gRPC

Kafka / PubSub

Observability

Office Suite

Education

Bachelor's Degree in CS/SE/EE/AI/ML

Master's or PhD in CS/AI/ML

Tools

CI/CD (GitHub Actions)

Job description

• Retrieval-Augmented Generation (RAG) Pipelines
• LLM Evaluation Frameworks
• Guardrails & AI Safety Standards
• Agentic System Development
• Generative AI Product Design
• Technical Standards Enforcement
• MLops
• Modern Life Cycle Management
• Guardrails
• AI safety standards
• Observability
• Vector Search
• Embedded Infrastructure

Key Responsibilities & Skills

• AI-driven SDLC
• AI Platform Architecture Design
• Engineering Quality & Observability
• Production AI System Development
• Retrieval-Augmented Generation (RAG) Pipelines
• LLM Evaluation Frameworks
• Guardrails & AI Safety Standards
• Agentic System Development
• Generative AI Product Design
• Technical Standards Enforcement
• MLops
• Modern Life Cycle Management
• Guardrails
• AI safety standards
• Engineering Quality
• Observability
• Vector Search
• Embedded Infrastructure

Technical Skills

• Claude Code / GitHub Copilot / Cursor
• Python
• LangChain / LlamaIndex
• TensorFlow / PyTorch
• Vector Search Engines
• MLOps Platforms
• CI/CD (GitHub Actions)
• Cloud Infrastructure (AWS / GCP / Azure)
• APIs / REST / gRPC
• Event-Driven Architecture (Kafka / PubSub)
• Observability Tools (Prometheus / Grafana)
• Microsoft Office Suite / Google Workspace

Education

Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning. Preferred: Master's in Computer Science, Master's in Artificial Intelligence, PhD in Computer Science, PhD in Machine Learning, PhD in AI.

Industry Experience

• E-commerce
• AI / GenAI Platforms
• Large-Scale Distributed Systems
• Cloud Services
• SaaS
• Enterprise Software