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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployment Engineer (FDE) - **Company:** Cays Inc - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Computer Programming, Cursor (Graphical User Interface Elements), Memory Management, Graph Database, Python (Programming Language), Lex (Software), Performance Tuning, Systems Integration, Wireless Networks, Data Logging, GitHub Copilot, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Model Validation, Generative AI, Fastapi, AI Platforms, Kubernetes, Information Technology, Production Code, Performance Monitor, Machine Learning Operations, GPT, Microservices - **Published:** May 15, 2026 - **Apply:** https://www.careerjet.com/jobad/us05dd2a816fb0f30dbac7ad4f1e3b01ac ## About the Role 8 15 years in AI/ML development, with 3+ years specialized in Generative AI and LLM applications., Core Technical * Programming: Expert-level Python with production-quality code, testing, and performance tuning. * GenAI Frameworks: Strong hands-on experience with LangChain, LangGraph, LlamaIndex, agentic orchestration libraries. * LLM Integration: Practical experience integrating OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, and Vertex AI models via APIs/SDKs. * RAG & Search: Deep experience designing and operating RAG workflows (document ingestion, embeddings, retrieval optimization, query rewriting). * Vector Databases: Production experience with at least two of OpenSearch, Pinecone, Qdrant, Weaviate, pgvector, FAISS. Cloud & AI Services * Azure: Azure OpenAI, Azure AI Studio, Copilot Studio, Azure Cognitive Search. * AWS: Bedrock, SageMaker endpoints, AWS Nova, AWS Transform etc. * GCP: Vertex AI (models, endpoints), Agentspace, Agent Builder. Preferred Qualifications * Master's degree in Computer Science, AI/ML, Data Science, or related field. * Experience with multi-agent systems, Agent-to-Agent (A2A) communication, and MCP-based ecosystems. * Familiarity with LLMOps / observability platforms such as LangSmith, Opik, Azure AI Foundry. * Experience integrating graph databases and knowledge graphs to enhance retrieval and reasoning. ## Description Technical Leadership & Development * Design and implement enterprise-grade GenAI solutions using LLMs (GPT, Claude, Llama and similar families). * Build and optimize production-ready RAG pipelines including chunking, embeddings, retrieval tuning, query rewriting, and prompt optimization. * Develop single- and multi-agent systems using LangChain, LangGraph, LlamaIndex and similar orchestration frameworks. * Design agentic systems with robust tool calling, memory management, and reasoning patterns. * Author MCP (Model Context Protocol) servers, tools, and resources, and integrate them with Cursor, Claude, Codex, Copilot, and internal enterprise systems. * Build plugins and extensions for Claude, Codex, Cursor and GitHub Copilot ecosystems. * Building AI Agents and Sub-Agents, Agent Skills for tools like Claude Code, Codex, and GitHub Copilot. * Build scalable Python + FastAPI/Flask or MCP microservices for AI-powered applications, including integration with enterprise APIs. * Implement model evaluation frameworks using RAGAS, DeepEval, or custom metrics aligned to business KPIs. * Implement agent-based memory management using Mem0, LangMem or similar libraries. * Fine-tune and evaluate LLMs for specific domains and business use cases. * Deploy and manage AI solutions on Azure (Azure OpenAI, Azure AI Studio, Copilot Studio), AWS (Bedrock, SageMaker, Comprehend, Lex), and GCP (Vertex AI, Generative AI Studio). * Implement observability, logging, and telemetry for AI systems to ensure traceability and performance monitoring. * Ensure scalability, reliability, security, and cost-efficiency of production AI applications. * Deep understanding of RAG architectures, hybrid retrieval, and context engineering patterns. * Translate business requirements into robust technical designs, architectures, and implementation roadmaps. * Drive innovation by evaluating new LLMs, orchestration frameworks, and cloud AI capabilities (including Copilot Studio for copilots and workflow automation)., Position: Wireless Network Deployment Engineer Location: 7500 Dallas Pkwy, Plano, TX 75024 At Nile we envision an enterprise network that inherently defends against cyber threa… + 9 days ago, Manpower Engineering is seeking a Senior Automation Engineer to lead the integration, validation, and execution of automation solutions for our client's restaurant automation opera… + 16 hours ago ## Related Videos - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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