Senior Modernization Engineer (FDE)

At Kyndryl (Permanent), in Wrocław, Poland
Salary: €48.000 - €280.000
Expires at: 2027-01-17
Remote policy: Partial remote

Key Responsibilities

• Building autonomous agents using LLMs, planning algorithms, and decision-making frameworks.
• Implementing agent architectures that support autonomy, interactivity, and task completion.
• Integrating agents into applications, APIs, and workflows (e.g., copilots, chatbots, automation tools).
• Connecting agents to external services via APIs, databases, and cloud platforms.
• Tuning agent behavior using feedback loops, reinforcement learning, semantic knowledge layer and user interaction.
• Monitoring performance and implementing safety, reliability, and guardrail mechanisms.
• Working cross-functionally with researchers, engineers, and product teams.
• Maintaining clear documentation of agent logic, designing decisions, and dependencies.
• Building and maintaining the Enterprise Agents and Tools Registry for metadata and lifecycle management.
• Implementing the Agent Communication Gateway with robust security, rate limits, observability, and cost controls.
• Familiarity with AI Agent orchestration patterns and workflow orchestration engines (e.g., Temporal, Airflow, etc.).
• Ensuring agent-level security, including authentication, authorization, and data protection.
• Optimizing cost, scalability, performance, and reliability of agent operations across cloud and on-prem environments.
• Familiarity with knowledge graphs for agent reasoning and data integration.
• Deploying and customizing agentic AI platforms (e.g., LLM agents, orchestration frameworks).
• Integrating AI systems with enterprise APIs, data platforms, and workflows.
• Solving technical blockers across data ingestion, model deployment, and agent behavior.
• Designing and refining prompts to ensure clarity, compliance, and contextual accuracy.
• Translating business logic into agentic workflows and task trees.
• Tuning agent behavior to align with real-world expectations.
• Implementing observability tools to ensure reliability, latency, and trustworthiness.
• Maintaining performance metrics and feedback loops for continuous improvement.
• Building and iterating custom AI solutions tailored to customer needs, leveraging agentic AI frameworks
• Owning delivery end to end, from scoping to production. Working as part of the customer team to engineer and deploy production-ready solutions that drive adoption and measurable business outcomes.
• Actively contributing to the evolution of Kyndryl’s AI platforms through feedback, code contributions, and collaboration with product team
• Customer Engagement & Solution Integrity: Partnering with customers to understand business 

Main requirements

• Bachelor’s degree in computer science, Engineering, or equivalent.
• Hands-on experience with Python development and frontend UI technologies (e.g., TypeScript, React.js, etc.) to build demos/systems from scratch as a full stack engineer.
• Hands-on experience building AI based solutions using AI frameworks such as LangChain, Microsoft Semantic Kernel, Google ADK or Microsoft Agent Framework.
• Knowledge of LLMs, AI Agent architectures, Agent Telemetry/Observability frameworks (Langsmith, Langfuse, litellm etc).
• Expertise with Docker, Kubernetes, and at least one cloud platform (Azure, AWS, GCP) or on premises.
• Experience in microservices-based architectures.
• Solid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools such as Pandas and Spark.
• Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures.
• Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executive audiences.
• Hands-on experience with SQL (e.g., PostgreSQL), NoSQL (e.g., MongoDB), and vector databases for agent data storage, semantic queries and retrieval.
• Proficiency in CI/CD (e.g., GitHub Actions), automated testing, and observability.
• Familiarity with agent-based modeling, multi-agent systems, or reinforcement learning.
• Proficiency in API development, backend services, and cloud platforms (AWS, Azure, GCP).
• Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions.
• Open-Source Ecosystems: Familiarity with community-driven AI tools and libraries, including Hugging Face and relevant repositories. 
• T-shaped Profile: Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting. 
• Agentic AI Systems: Experience designing, building, or integrating multi-agent systems and orchestration frameworks (e.g., LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI), including the development of agent protocols and coordination mechanisms. 
• Performance & Security: Knowledge of system-level optimisation and security best practices for scalable AI systems. 
• Willingness to travel up to 25% globally. 

Benefits & Perks

• Private health card
• Life insurance package
• Multisport Card
• Discounts for Kyndryl employees
• A wide range of benefit options for parents and children
• Sports activities and team events
• Free language courses & many personal development possibilities
• Employee referral program
• Mindfulness and Yoga Classes