Fullstack Forward Deployed Engineer
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Job 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 âbuilderâs paradiseâ 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 Labâs 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.
Requirements
Youâre 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, youâre 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.
- Bachelorâs degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical work experience).
Benefits & conditions
The compensation range for the position in the U.S. is - $115,080 to $218,520 based on a full-time schedule.
Your actual compensation may vary depending on your geography, job-related skills and experience. For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement.
There is a different applicable compensation range for the following work locations: California (San Francisco Bay Area): $138,120 to $262,320 California (All Other): $126,600 to $240,480 Colorado: $115,080 to $218,520 Massachusetts $115,080 to $240,480 New York City: $138,120 to $262,320 Washington: $126,600 to $240,480 Washington DC: $126,600 to $240,480
This position will be eligible for Kyndrylâs discretionary annual bonus program, based on performance and subject to the terms of Kyndrylâs applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off. Note: If this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program.
About the company
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities., Diversity is a whole lot more than what we look like or where we come from, itâs how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But weâre not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. Thatâs the Kyndryl Way.
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
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