software engineer for AI agents and FinOps

AutoScout24 Group develops products and services for customers in the mobility market.

• Build and evolve AI products such as Nex and Fyn, companion tools, and self-service analytics for engineering effectiveness and FinOps
• Design agentic workflows with tool calling, orchestration, retrieval, and memory, using clear permissions, human approvals, and auditable execution
• Connect engineering and financial data through APIs and reliable data pipelines, integrating with Slack, Jira, the developer portal, and cloud and AI providers
• Build FinOps capabilities for cost attribution, forecasting, anomaly detection, and optimization across cloud, AI, and software spending, keeping financial calculations accurate and traceable
• Improve delivery visibility and reduce administrative toil, waiting time, and workflow friction
• Help teams understand the balance between operational work and product development
• Own products from discovery and design through deployment and operation
• Build evaluations, tests, and observability for agent behavior, reliability, security, latency, and cost
• Work with engineering teams, Finance, Procurement, and Employee Tech to prioritize useful improvements
• Use adoption, user feedback, and measurable outcomes to guide future product development

• Senior-level software engineering experience, typically 5+ years, building and operating production applications or services
• Strong skills in software design, testing, debugging, and maintainable code
• Hands-on experience building LLM-powered applications and agentic systems used in real workflows; able to explain design decisions, failure modes, and trade-offs
• Strong coding skills in at least one language, ideally Python or TypeScript
• Confidence working with APIs, data integrations, and distributed systems
• Strong interest in AI, with a habit of experimenting, learning, and shipping
• Experience using modern AI coding tools such as Claude Code or Codex and taking responsibility for the results
• Practical experience deploying and running software in AWS or a comparable cloud, including CI/CD and observability
• Ability to make sensible choices about reliability, security, and operating cost
• Interest in engineering effectiveness, including developer experience, delivery flow, automation, and responsible resource use
• Clear communication, product thinking, and ownership; able to turn ambiguous problems into practical solutions and work with technical and non-technical stakeholders
• Будет плюсом: FinOps, cloud cost optimization, engineering analytics, developer experience, engineering operations, agent frameworks, MCP integrations, Amazon Bedrock, AgentCore, Strands Agents SDK, internal tools, dashboards, data products, decision-support products, careful use of metrics

• Weekly office attendance is required, up to 3 times a week
• The team offers tools, training, and support to help employees learn new skills and reach their potential
• Inclusive and respectful working environment with people from over 50 nationalities