AI Engineer - Large Language Models and Agent Frameworks

Infosys Czechia
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AI Summary

We are building a new AI team focused on applying Large Language Models and agent frameworks to solve real operational challenges. Design, build, and maintain LLM-powered agents that interact with live systems, logs, and data sources. Required skills include Python, experience with LLM APIs, and agent/orchestration frameworks.

Key Highlights
Design and implement LLM-based agents
Build agent workflows using frameworks such as LangGraph, CrewAI
Integrate agents with enterprise tools
Key Responsibilities
Design, build, and maintain LLM-powered agents that interact with live systems, logs, and data sources
Automated maintenance of application architecture diagrams
Platform dependency mapping and visualization
Data source analysis, schema design, and optimization
Log analysis, root-cause detection, and incident reporting
Technical Skills Required
Python LLM APIs (OpenAI, Azure OpenAI, or similar) Agent/orchestration framework (LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar) REST APIs OpenAPI/Swagger specifications Git version control (GitHub) Kubernetes (kubectl, pod diagnostics, events) Log aggregation platforms (ELK) Database design (Mongo) CI/CD and GitHub Actions RAG (Retrieval-Augmented Generation) patterns MCP (Model Context Protocol) or A2A protocols Prompt evaluation and LLM output quality metrics
Benefits & Perks
Hybrid Work Model within Brno
25 Days of Paid Leave
Meal Allowance
Multisport card
Benefit card
Financial Reward for Referring Your Friends
Expat Assistance Services for New Joiners
Relocation Package (for candidates relocating from other EU countries)
Team Building Activities
Long-Term Career Prospects

Job Description


Job description


We are Infosys Czech Republic

We offer business consulting, technology and engineering solutions and end-to-end transformative business process management services to some of the world’s most iconic brands.


Your role:

We are building a new AI team focused on applying Large Language Models and agent frameworks to solve real operational challenges from automated architecture documentation to incident analysis. You will design, build, and maintain LLM-powered agents that interact with live systems, logs, and data sources.

Design and implement LLM-based agents for:

  • Automated maintenance of application architecture diagrams;
  • Platform dependency mapping and visualization;
  • Data source analysis, schema design, and optimization;
  • Log analysis, root-cause detection, and incident reporting;
  • Build agent workflows using frameworks such as LangGraph, CrewAI;
  • Integrate agents with enterprise tools (GitHub, Jira, Azure;
  • Monitor, Kubernetes APIs, log aggregation systems).

Required:

  • Python;
  • experience with LLM APIs (OpenAI, Azure OpenAI, or similar);
  • experience with agent/orchestration framework (LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar);
  • Understanding of REST APIs, OpenAPI/Swagger specifications;
  • Git version control (GitHub);
  • Experience with Kubernetes (kubectl, pod diagnostics, events);
  • Familiarity with log aggregation platforms (ELK);
  • Knowledge of database design (Mongo);
  • Experience with CI/CD and GitHub Actions;
  • Understanding of RAG (Retrieval-Augmented Generation) patterns;
  • Familiarity with MCP (Model Context Protocol) or A2A protocols;
  • Experience with prompt evaluation and LLM output quality metrics;
  • Jira / Agile project tracking

Employee perks, benefits:

  • Hybrid Work Model within Brno;
  • 25 Days of Paid Leave;
  • Meal Allowance;
  • Multisport card;
  • Benefit card;
  • Financial Reward for Referring Your Friends;
  • Expat Assistance Services for New Joiners;
  • Relocation Package (for candidates relocating from other EU countries);
  • Team Building Activities;
  • Long-Term Career Prospects.

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