AI Full-Stack / Systems Engineer

Qode • Columbia, SC

4d

About The Position

We are looking for an AI Full-Stack / Systems Engineer to build scalable backend services and platform components that power enterprise AI applications and agent-based workflows.The role focuses on LLM integrations, AI orchestration frameworks, RAG-based knowledge systems, and production-grade AI infrastructure used by multiple engineering teams.This engineer will work closely with platform, architecture, and application teams to build secure, reliable, and governed AI systems at enterprise scale.

Requirements

• Strong backend engineering experience (Python preferred)
• Experience building distributed systems / microservices
• Hands-on experience with LLMs, RAG architectures, or AI agent frameworks
• Experience integrating AI APIs such as OpenAI, Anthropic, Bedrock, etc.
• Experience with cloud platforms (AWS preferred)
• Familiarity with vector databases, embeddings, and knowledge retrieval systems
• Experience with REST APIs, containerization (Docker), and modern backend frameworks
• 5–10 years backend / platform engineering experience
• Hands-on experience building production AI systems
• Strong problem-solving and distributed systems background
• Comfortable working in AWS cloud-native environments

Nice To Haves

• Experience with LangChain, LlamaIndex, or agent orchestration frameworks
• Experience building AI platform components or internal developer platforms
• Exposure to AI governance, guardrails, and evaluation frameworks
• Experience operating systems in enterprise or regulated environments

Responsibilities

• Build backend services supporting AI agents and multi-step AI workflows
• Develop LLM integration layers and model service APIs
• Implement RAG pipelines including document ingestion, embeddings, and vector retrieval
• Build orchestration frameworks connecting models, tools, and enterprise APIs
• Implement AI safety controls, guardrails, and policy enforcement
• Develop observability, monitoring, and cost tracking for AI systems
• Integrate AI systems with enterprise platforms and internal services

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed