> Markdown version of [/jobs/ext/3553675-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/3553675-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** Noblesoft Technologies - **Location:** Frisco, TX, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Performance Tuning, Systems Integration, Enterprise Data Management, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Test Scripts, Llamaindex, Generative AI, Agentic-AI, Kubernetes, Information Technology, Api Design - **Published:** October 2, 2026 - **Apply:** https://www.dice.com/job-detail/6ff36b04-1fe5-44bd-af92-2bbe40986f19 ## About the Role * Experience building AI solutions using LLMs - prompt engineering, RAG, or agentic workflows. * Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex). * Experience developing APIs and integration components. * Experience with cloud platforms (AWS/Azure/Google Cloud Platform)., * Bachelor's degree in Computer Science, Engineering, or related field, plus 3+ years of related work experience; or advanced degree with 1 year; or equivalent combination of education and experience. * Hands-on experience with prompt and context engineering, fine-tuning, and agentic workflows. * Working knowledge of designing retrieval-augmented generation (RAG) pipelines. * Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex). * Experience developing APIs and integrating AI capabilities into enterprise applications. * Experience working in agile development cycles to support rapid, effective delivery. * Strong problem-solving skills and a drive to apply creative solutions in AI agent development. * Clear communication skills for effective collaboration with FDEs and cross-functional teams. ## Description Forward Deployed Engineer (FDE) build team turns the enterprise's highest-value AI opportunities into production reality, partnering with US-based FDEs to deliver solutions across lines of business. As an Engineer, AI, you will build and deliver production-grade AI agents and solutions - leveraging LLM APIs, agentic workflows, and Retrieval-Augmented Generation (RAG) - that drive employee productivity, process optimization, and smarter decision-making. Working hands-on within established patterns and reference implementations, and collaborating closely with senior engineers, FDEs, and cross-functional teams, you will ensure AI-driven solutions are effectively integrated into enterprise workflows., * Build and deliver RAG pipelines, agentic workflows, and multi-model orchestration components for high-value use cases, following established patterns and reference implementations. * Develop APIs, services, and integration components that connect AI capabilities to enterprise data and systems. * Apply prompt engineering and evaluation techniques to optimize AI system performance, accuracy, and reliability. * Partner with FDEs and senior engineers to turn prioritized opportunities into working, production-ready solutions. * Monitor, test, and continuously improve AI systems for scalability, reliability, and measurable impact. * Contribute to CI/CD workflows and engineering best practices for quality and maintainability. * Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows. * Build and maintain key artifacts, including design notes, test scripts, and documentation. ## Related Videos - [The Intent Engineer: Closing the Gap Between Business & Engineering - Manuel Klein](https://www.wearedevelopers.com/videos/1855-the-intent-engineer-closing-the-gap-between-business-engineering-manuel-klein) - [Large Language Models ❤️ Knowledge Graphs](https://www.wearedevelopers.com/videos/1154-large-language-models-knowledge-graphs) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Knowledge graph based chatbot](https://www.wearedevelopers.com/videos/754-knowledge-graph-based-chatbot) - [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 - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [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)