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Kyndryl

Managed IT infrastructure and cloud services

Modernization Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeWrocław, PolandNo salary listed

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, or an equivalent field is required.
  • Full-stack development experience with Python and front-end technologies such as TypeScript and React.js, including building demos and systems from the ground up.
  • At least 3 years of hands-on experience building AI solutions with frameworks such as LangChain, Microsoft Semantic Kernel, Google ADK, or Microsoft Agent Framework.
  • Knowledge of large language models, agent architectures, and telemetry or observability tools such as LangSmith, Langfuse, and LiteLLM.
  • Expertise with Docker, Kubernetes, and at least one cloud platform—Azure, AWS, or GCP—or on-premises environments.
  • Experience with microservices architectures.
  • A strong understanding of the software delivery lifecycle, Git and GitHub, and data engineering tools such as Pandas and Spark.
  • Experience with cloud AI platforms and distributed computing architectures.
  • Ability to translate business needs into technical solutions and explain their value to varied stakeholders, including executives.
  • Hands-on experience with SQL databases such as PostgreSQL, NoSQL databases such as MongoDB, and vector databases for storage, semantic search, and retrieval.
  • Proficiency in CI/CD tools such as GitHub Actions, automated testing, and observability.
  • Proficiency in API development, back-end services, and AWS, Azure, or GCP.
  • Practical experience deploying retrieval-augmented generation (RAG) architectures and integrating structured and unstructured knowledge sources.
  • Knowledge of community-driven AI tools, libraries, and repositories, including Hugging Face.
  • Deep expertise in one or two areas, supported by broad knowledge of AI/ML, cloud, and consulting.
  • Experience designing, building, or integrating multi-agent systems and orchestration frameworks such as LangGraph, Semantic Kernel, Agent Framework, AutoGen, or CrewAI, including agent protocols and coordination mechanisms.
  • Knowledge of system optimization and security practices for scalable AI systems.
  • Ability to travel globally a minimum of 25%.

Responsibilities

  • Build autonomous agents using Kyndryl’s Agentic Platform, large language models, planning algorithms, and decision frameworks.
  • Leverage and customize pre-built autonomous agents available within Kyndryl’s Agentic Platform to maximize adoption scale and consistency.
  • Design agent architectures for autonomy, interaction, and task completion.
  • Integrate agents with applications, APIs, workflows, databases, cloud platforms, and external services.
  • Refine agent behavior through feedback loops, reinforcement learning, semantic knowledge layers, and user interactions.
  • Monitor performance and implement safeguards for security, reliability, and responsible operation.
  • Collaborate with researchers, engineers, product teams, and other cross-functional partners.
  • Document agent logic, design decisions, dependencies, and deployment practices.
  • Build and maintain the Enterprise Agents and Tools Registry for metadata and lifecycle management.
  • Implement the Agent Communication Gateway with security, rate limiting, observability, and cost controls.
  • Apply agent and workflow orchestration patterns using tools such as Temporal and Airflow.
  • Protect agents through authentication, authorization, and data security controls.
  • Optimize cost, scalability, performance, and reliability across cloud and on-premises environments.
  • Use knowledge graphs to strengthen agent reasoning and data integration.
  • Deploy and tailor agentic AI platforms, large language model agents, and orchestration frameworks.
  • Resolve technical blockers in data ingestion, model deployment, and agent behavior.
  • Design and refine prompts for clarity, compliance, and contextual accuracy.
  • Translate business logic into agentic workflows and task trees aligned with real-world expectations.
  • Implement observability, performance metrics, and feedback loops to improve reliability, latency, trust, and outcomes.
  • Build and iterate customer-specific AI solutions using agentic AI frameworks.
  • Own delivery from scoping through production, embedding with customer teams to deploy solutions that drive adoption and measurable business results.
  • Translate customer challenges into high-quality, fit-for-purpose solutions, prioritizing the right outcome over the fastest answer.
  • Diagnose and improve system performance, scalability, and reliability.
  • Capture deployment lessons, document best practices, and share insights that improve Kyndryl’s platforms and frameworks.
  • Stay current with emerging technologies and changing customer needs through ongoing development.

Desired Qualifications

  • Familiarity with community-driven AI tools, libraries, and repositories, including Hugging Face.

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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