The RoleAs 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.
Key ResponsibilitiesFull-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 GCP).
- 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.
Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.
Who You AreWho You AreYou'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.
Required Skills and Experience- 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 GCP.
- 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, GCP) 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).
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 Kyndryl's discretionary annual bonus program, based on performance and subject to the terms of Kyndryl's 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.
Applications will be accepted on a rolling basis.
