Software Engineer (Agentic SDLC) (M/F/X)

Technologies we use

• Agentic SDLC
• Python
• Celery
• Redis
• Docker

• OpenCode
• Claude
• Auggie
• FastAPI
• Flask
• Vue.js

About the project

We are looking for a software engineer who will combine solid programming skills (Python/Vue.js) with an innovative approach to the software development lifecycle (Agentic SDLC). In this role, you will join a team working on internal projects, where your main task will be not only writing code, but primarily planning, orchestrating, and supervising the work of autonomous AI sub-agents at every stage of software development.

Your responsibilities

• Creating and optimizing systems for internal projects (backend in Python/FastAPI/Flask, frontend in Vue.js)
• Building and maintaining asynchronous tasks using Celery and Redis
• Orchestrating AI agents to automate the full software development lifecycle – from planning, through coding and testing, to deployment and maintenance
• Defining roles, delegating tasks, and managing the structure and capabilities of sub-agents
• Controlling architecture and constantly verifying the quality of code generated with the support of AI Agents

Our requirements

• Higher technical education
• At least 3 years of commercial software development experience
• Practical proficiency in Agentic SDLC using tools such as OpenCode, Claude, or Auggie
• Advanced task planning skills (AI planning), sub-agent orchestration (skills & orchestration), and efficient management of their capabilities and verification of AI-delivered value
• IT qualifications:
• Commercial experience in Python programming (FastAPI or Flask)
• Knowledge of frontend technologies (Vue.js or other frontend framework preferred)
• Experience working with Celery, Redis, and Docker
• English language proficiency at a minimum B2 level (enabling fluent work with documentation and AI tools)

• Experience in creating and developing own solutions based on LLM/AI Agents

What we offer

• Real impact: Participation in the transformation of internal development processes using the latest AI technologies
• State-of-the-art AI environment: Unlimited access to leading market tools, including OpenCode, Auggie, and commercial LLM models
• Modern tool stack: Full access to the Google Workspace ecosystem and modern development tools that improve daily work
• Professional onboarding and development: Access to unique domain knowledge in telecommunications and modern system engineering standards
• Hybrid work system - 2 days remote work, 3 days in the office
• Private medical care at Allianz - access to specialists and diagnostic tests for you and your loved ones
• Cafeteria system - you can choose full co-financing for a Multisport card, allocate funds to culture, recreation, or sports and shopping

Benefits

• private medical care
• remote work option
• flexible working hours
• integration meetings
• no dress code
• coffee / tea
• employee parking
• employee referral program
• charitable initiatives