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Kyndryl

Managed IT infrastructure and cloud services

Modernization Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 3 years of experience building AI solutions, multi-agent systems, and orchestration frameworks using LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
  • Hands-on full-stack development experience using Python, React.js, and TypeScript, including microservices architecture, back-end services, and RESTful API development.
  • Proficiency in SQL (PostgreSQL), NoSQL (MongoDB), and vector databases, with practical experience deploying retrieval-augmented generation (RAG) architectures for structured and unstructured data.
  • Strong background in Docker, Kubernetes, continuous integration and continuous delivery (CI/CD) pipelines (GitHub Actions), Git, and deployment across AWS, Azure, or Google Cloud Platform.
  • Ability to translate complex business needs into technical solutions and communicate their value to executive-level stakeholders.

Responsibilities

  • Build, customize, and deploy autonomous agents using Kyndryl’s Agentic Platform, large language models (LLMs), prompt design, knowledge graphs, and task trees to ensure high contextual accuracy.
  • Connect agents across APIs, databases, hybrid-cloud platforms, and external services using orchestration tools such as Temporal and Airflow, alongside an Enterprise Agents and Tools Registry.
  • Implement the Agent Communication Gateway with authentication, authorization, rate limiting, cost controls, and safety safeguards for reliable, responsible AI operations.
  • Refine agent performance, latency, and reasoning using feedback loops, reinforcement learning, semantic knowledge layers, and end-to-end telemetry metrics.
  • Lead solution delivery from initial scoping to production, translating customer needs into fit-for-purpose AI implementations that drive measurable adoption.
  • Work with research, engineering, and product teams to share operational lessons, establish best practices, and document agent logic and deployment frameworks.

Desired Qualifications

  • Bachelor’s degree in Computer Science or Engineering, or equivalent.
  • Experience implementing AI telemetry and monitoring tools such as LangSmith, Langfuse, and LiteLLM to track agent behavior, latency, and performance.
  • Familiarity with data engineering libraries and distributed frameworks, including Pandas, Spark, and cloud-native AI platforms.
  • Understanding of system performance tuning, scalability, security controls, and authentication protocols for enterprise AI operations.
  • Familiarity with community-driven AI libraries, models, and repositories, including Hugging Face, fine-tuning workflows, and open-source models.
  • Cross-functional exposure across AI/ML and cloud consulting, combined with technical specialization in core software delivery practices.

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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