Lead Developer- Agentic AI Platform

We are looking for an experienced Python Developer with a strong interest in Agentic AI, who will help build and evolve a scalable AI platform for enterprise use.

Permanent

Remote

Nitra

from 3100-4500 €

Anna Sedláková

Senior IT Recruiting Consultant

+421 948 606 922

anna.sedlakova@successfirst.eu

About the company

The company is an international shared services and technology center that supports a large European financial services organization. Its activities include software development, IT operations, business support services, and nearshoring solutions for multiple countries across the region.

The technology division focuses on the development, maintenance, and modernization of core business applications, as well as the delivery of modern web-based solutions and digital services. In addition to software engineering, the organization provides operational support, business process services, and cross-border administration for customers and internal stakeholders.

With an international environment and a strong focus on innovation, the company plays a key role in driving digital transformation, process optimization, and technology delivery across the wider group.

JOB DESCRIPTION

Purpose
Own the technical implementation and framework development of the Agentic AI Platform, with a strong focus on Python-based platform components, reusable agentic AI patterns, and developer enablement. Ensure that the platform codebase is modular, maintainable, secure, extensible, and supports efficient delivery of agentic AI use cases across the organization.

Responsibilities

Develop and maintain Python-based platform capabilities, reusable components, SDKs, templates, and developer tools.
Design and implement reusable framework capabilities for agents, tools, MCP servers, orchestration, memory, RAG, model access, and evaluation.
Implement MCP servers end-to-end, including schema design, validation logic, action execution, error handling, and interface contracts.
Extend agent runtime capabilities, including planning, tool-use, routing, reasoning support, context handling, and orchestration patterns.
Design and evolve RAG and knowledge access logic, including chunking, retrieval, ranking, generation, and evaluation patterns.
Implement agent memory and context management logic, including semantic, vector-based, and session-related memory concepts.
Build test frameworks, evaluation harnesses, and enablement tooling that allow developers to test, validate, and improve agentic AI solutions.
Ensure clean separation between shared platform/framework capabilities and use case-specific implementation logic.
Evaluate, integrate, and extend open-source AI and agentic AI frameworks in line with the platform architecture.
Drive code quality, modularity, refactoring, secure coding, documentation, and maintainability of the platform codebase.

Requirements

• Strong hands-on Python development experience.
• Experience developing reusable frameworks, SDKs, libraries, platform components, or developer tools.
• Deep understanding of open-source AI and agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, LlamaIndex, CrewAI, or comparable frameworks.
• Strong understanding of LLM-based agent architectures, including planning, tool use, routing, orchestration, reasoning patterns, and agent runtime design.
• Hands-on experience with MCP-style servers, action or skill servers, schema design, validation logic, and execution interfaces.
• Solid knowledge of RAG systems, including retrieval logic, chunking, ranking, generation, grounding, and evaluation.
• Good understanding of agent memory concepts, including vector memory, semantic memory, session context, and long-term memory patterns.
• Strong skills in API design, schema modeling, interface contracts, modular software design, and distributed systems.
• Experience with test automation, evaluation harnesses, quality gates, CI/CD, secure coding, and code quality practices.
• Familiarity with knowledge representation concepts such as ontologies, taxonomies, and knowledge graphs is beneficial.
• English language – B2

BENEFITS

Are you an early bird, or do you prefer a quiet morning? Thanks to flexible working hours, you can organize your day to suit your needs.

New colleagues receive not only a warm welcome but also a welcome package to help them get started.

To support healthy and enjoyable meals, the company contributes €9.30 per lunch.

Employees receive a €200 cafeteria benefit, which can be used for sports activities, massages, cultural events, books, healthcare products, and more.

Continuous learning is encouraged through in-house language courses in German and English, employer-funded language certifications, and a wide range of professional training and development opportunities.

In addition to a competitive salary, employees are guaranteed a full 13th and 14th salary, paid every year.

Parents receive a monthly contribution of €48.40 per child.

The company also contributes to employees’ supplementary pension savings (third pillar), helping them build financial security for the future.

Employees are covered by year-round accident insurance.

Regular company events are organized throughout the year, including summer gatherings, holiday celebrations, sports events, and team activities, providing opportunities to connect with colleagues outside of work.

Family-friendly benefits are also available, including events and activities for employees‘ children and families.

Last update: 25.6.2026

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