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# AI Engineer

- **Company:** Incedo Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Distributed Systems, Information Retrieval, Python (Programming Language), Knowledge-Based Systems, OpenAI, Software Safety, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Llamaindex, Backend, Agentic-AI, Containerization, AI Platforms, Machine Learning Operations, Virtual Agents, Restful APIs, Automation Anywhere, Docker, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_272f5f782ea5a5f3647fbc80a5cd03d7

## About the Role

* 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

Preferred Skills

 * 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, * 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

## Description

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., * 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