> Markdown version of [/jobs/ext/1745779-fullstack-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/1745779-fullstack-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). --- # Fullstack Forward Deployed Engineer - **Company:** Kyndryl, Inc. - **Location:** Frisco, TX, United States - **Experience:** Experienced - **Salary:** $115,080.0 - $218,520.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Performance Management, Computing Platforms, Microsoft Azure, Cloud Computing, Database Queries, Python (Programming Language), PostgreSQL, Language Modeling, Node.Js, NoSQL, Performance Tuning, RabbitMQ, Rapid Prototyping Process, Redis, Search Technologies, Software Engineering, SQL Databases, Data Streaming, TypeScript, Web Application Frameworks, Google Cloud, ReactJS, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Software Application Programming, Caching, Generative AI, Backend, Vue.js, Containerization, AngularJS, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Apache Kafka, Front End Software Development, Virtual Agents, Data Pipelines, Docker - **Published:** July 18, 2026 - **Apply:** https://www.dice.com/job-detail/256e9f5e-895f-4a37-8fc7-cc96bbcef86b ## About the Role You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work, especially when co-creating tailored AI solutions face-to-face with enterprise clients. And finally, you're open and borderless - naturally inclusive in how you work with others, thriving in a flat, highly collaborative team environment where you share learnings openly across Slack, Teams, and our physical Frisco Lab., * Based in the Dallas-Fort Worth metroplex (or ready to relocate immediately) with a hybrid schedule of 3 days onsite per week at the Frisco, TX Agentic AI Lab. * Hands-on experience building applications using modern frameworks and orchestrators (e.g., LangChain, AutoGen, or CrewAI) in production. * 4+ years of professional software engineering experience with strong proficiency in Python and JavaScript/TypeScript backend development. * Experience designing and maintaining modern frontend applications (React, Angular, or Vue), particularly handling streaming data or real-time query responses. * Practical understanding of Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, Milvus, Qdrant, Chroma). * Experience deploying containerized applications (Docker, Kubernetes) to AWS, Azure, or Google Cloud Platform. * Strong proficiency with SQL (PostgreSQL, etc.) and NoSQL databases. * Deep familiarity with Git/GitHub, CI/CD pipelines, and software delivery best practices. Preferred Skills and Experience * Experience with LLM infrastructure tools such as LiteLLM gateways, prompt tracing platforms (e.g., Langfuse), or workflow managers (e.g., Temporal). * Familiarity with system prompt tuning, model fine-tuning, and vector search caching strategies (e.g., Redis). * Experience using messaging queues or streaming platforms like Kafka or RabbitMQ. * Active professional certifications in major cloud hyper-scalers (AWS, Azure, Google Cloud Platform) or AI-specific development pathways. * Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical work experience). ## Description As a Fullstack Forward Deployed Engineer, you are the technical force that customers ask for by name. You will step into an ultra-fast, high-autonomy "builder's paradise" to turn ambitious architectural blueprints into real-world software platforms, designing and deploying responsive modern frontends, developing robust backend pipelines, and orchestrating advanced multi-agent workflows that solve complex enterprise challenges. Operating from our physical Lab in Frisco, Texas, you will work in an iterative, rapid prototyping environment where we ship functional MVPs in weeks, not months. While your day-to-day focus is pure hands-on development-making use of modern retrieval-augmented generation (RAG) models, managing LLM API performance, and launching production-ready systems onto major cloud hyper-scalers-you will also embed directly with enterprise clients for high-value co-creation, helping them navigate ambiguity and taking accountability for real outcomes in production environments., Full-Stack Engineering & MVP Delivery * Build and scale modern frontend interfaces (React, Angular, or Vue) designed to handle dynamic generative UI elements and real-time streaming outputs. * Develop robust backend APIs and data pipelines using Python or Node.js to connect client systems with advanced language models. * Rapidly prototype and ship functional, production-ready MVPs within weeks in a highly iterative, agile lab environment. * Optimize application performance, ensuring fast database query execution and highly responsive rendering speeds. Agentic AI & RAG Integration * Design, build, and deploy multi-agent orchestration frameworks (using LangChain, AutoGen, or CrewAI) that communicate, self-correct, and execute complex workflows. * Configure and optimize Retrieval-Augmented Generation (RAG) architectures, integrating both structured and unstructured data sources into unified vector engines. * Manage LLM integration challenges including API call optimization, token latencies, prompt routing, and context window limitations. Cloud Deployment & Client Collaboration * Deploy and manage secure, containerized full-stack applications using Docker and Kubernetes across major cloud hyper-scalers (AWS, Azure, or Google Cloud Platform). * Collaborate daily with local engineering leads to continuously improve the physical Lab's deployment pipelines and core platforms. * Participate in cross-functional stand-ups and share knowledge openly across Slack and Teams to cultivate a highly collaborative team environment. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [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) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)