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# Forward Deployed Engineer (AI Systems)

- **Company:** Job Cloud Inc.
- **Location:** Dallas, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Abstraction Layers, Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Cloud Engineering, Fault Tolerance, Python (Programming Language), Open Source Technology, Software Construction, Systems Integration, Data Logging, Large Language Models, Multi-Agent Systems, Backend, Build Management, Containerization, Kubernetes, Low Latency, Terraform, Serverless Computing, Docker, Microservices
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/f4221816-a895-4063-bbf8-add6bc3e2012

## About the Role

* 8 10+ years building software professionally
 * Deep background in cloud-native engineering - APIs, microservices, containerized workloads, serverless
 * Proven track record shipping AI/LLM systems to production, including agents, RAG pipelines, and orchestration layers
 * Strong command of Python, Java, or a comparable backend language
 * Working fluency with CI/CD pipelines, infrastructure as code, and observability/monitoring stacks

Nice-to-Have

 * Hands-on time with agent frameworks such as LangGraph, AutoGen, or CrewAI
 * Experience designing multi-agent or distributed AI architectures
 * Background integrating systems at enterprise scale
 * Track record tuning AI workloads for cost efficiency and speed
 * Direct experience with platforms like OpenAI, Claude, or Vertex AI

## Description

* Connect applications to AI providers including OpenAI, Anthropic, Google Vertex, and open-source models
 * Architect abstraction layers that support multi-model, multi-provider setups
 * Tune model consumption to balance latency, cost, and output quality

Application Engineering

 * Ship AI-powered applications mapped directly to real business workflows
 * Embed AI capabilities into existing enterprise platforms and API ecosystems
 * Stand up backend services and APIs that power agent-driven processes

Agent Development

 * Build and deploy AI agents covering retrieval (RAG), orchestration workflows, tool/function invocation, and policy-based routing
 * Create evaluation frameworks measuring accuracy, latency, and reliability
 * Instrument observability and monitoring across the full agent lifecycle

Cloud-Native Engineering

 * Develop scalable services on microservices architecture, containers (Docker, Kubernetes), and serverless/event-driven patterns
 * Own CI/CD pipelines and infrastructure as code using Terraform and Helm
 * Harden systems for production - logging, monitoring, fault tolerance

Performance & Optimization

 * Benchmark systems across latency, throughput, accuracy, and cost
 * Diagnose and resolve issues in live production environments


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