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Kyndryl

Managed IT infrastructure and cloud services

Associate Director, Full-stack Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeFlorida, USA

About the Job

Requirements

  • At least 4 years of professional software engineering experience, with strong proficiency in Python and JavaScript/TypeScript backend development.
  • Hands-on experience building, designing, and deploying applications using modern frameworks and orchestrators such as LangChain, AutoGen, or CrewAI in production.
  • Experience designing and maintaining modern frontend applications using React, Angular, or Vue, particularly for streaming data or real-time query responses.
  • Practical understanding of and deployment experience with Retrieval-Augmented Generation pipelines and vector databases such as Pinecone, Milvus, Qdrant, or Chroma.
  • Experience deploying containerized applications using Docker and Kubernetes to AWS, Azure, or GCP, and working with distributed computing architectures.
  • Strong proficiency with SQL, including PostgreSQL, and NoSQL databases, alongside data engineering tools such as Pandas and Spark.
  • Deep familiarity with Git, GitHub, CI/CD pipelines, version control, and modern software delivery best practices.

Responsibilities

  • Build and scale responsive modern frontend interfaces using React, Angular, or Vue to support dynamic generative UI elements and real-time streaming outputs.
  • Develop robust backend APIs, microservices, and data pipelines using Python, JavaScript/TypeScript, or Node.js to connect enterprise systems with advanced language models.
  • Optimize application performance, query execution, and rendering speeds to maintain high reliability and low latency across distributed systems.
  • Design, build, and deploy multi-agent orchestration frameworks using tools such as LangChain, AutoGen, or CrewAI to communicate, self-correct, and execute complex enterprise workflows.
  • Configure and optimize Retrieval-Augmented Generation architectures and vector engines, integrating structured and unstructured data sources.
  • Resolve LLM deployment challenges, including API call optimization, token latencies, prompt routing, context window limits, and cost management.
  • Implement system-level security and performance best practices for scalable AI platforms.
  • Embed directly with enterprise client teams to translate ambiguous business requirements into scalable, high-impact technical architectures.
  • Partner with senior stakeholders to prioritize long-term technical value and solution integrity over quick fixes.
  • Own end-to-end technical delivery from initial scoping through deployment, driving user adoption and operational outcomes.
  • Capture deployment learnings and document architectural best practices to inform ongoing enhancements to Kyndryl’s core platforms.
  • Collaborate daily with lab engineering leads to refine physical deployment pipelines and shared frameworks.
  • Share knowledge, code contributions, and insights across Slack, Teams, and cross-functional stand-ups to elevate the engineering community.

Desired Qualifications

  • Experience with LLM infrastructure tools such as LiteLLM gateways, prompt tracing platforms such as Langfuse, or workflow managers such as Temporal.
  • Familiarity with open-source AI ecosystems such as Hugging Face; agentic frameworks such as LangGraph or Semantic Kernel; system prompt tuning; model fine-tuning; and vector search caching strategies such as Redis.
  • Experience using messaging queues or streaming platforms such as Kafka or RabbitMQ, alongside familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
  • Ability to translate complex business requirements into scalable AI solutions and communicate value to executive stakeholders.
  • Willingness to travel and work on customer premises as required.
  • Active professional certifications in major cloud hyperscalers (AWS, Azure, GCP) or AI-specific development pathways.
  • Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, or Informatics, or equivalent practical work experience.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

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