6 дней назад
Senior Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI) (Agentic AI/FinOps): Building AI agents, internal products, integrations, and data pipelines that improve engineering effectiveness and optimize cloud, AI, and software spending with an accent on agentic workflows, reliable financial calculations, and production operations. Focus on designing tool-calling systems with approvals and auditability, connecting engineering and financial data, and evaluating reliability, security, latency, and cost.
Location: Berlin or Munich, Germany
Company
is an international automotive marketplace company building digital products and services for customers and internal teams.
What you will do
- 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, memory, permissions, human approvals, and auditable execution.
- Connect engineering and financial data through APIs and reliable data pipelines integrating 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.
- Improve delivery visibility and reduce administrative toil, waiting time, and workflow friction for engineering teams.
- Own products from discovery and design through deployment and operation, including evaluations, testing, observability, and collaboration with Engineering, Finance, Procurement, and Employee Tech.
Requirements
- Senior-level software engineering experience, typically 5+ years, building and operating production applications or services.
- Hands-on experience building LLM-powered applications and agentic systems used in real workflows.
- Strong coding skills in at least one language, ideally Python or TypeScript, with experience in APIs, data integrations, and distributed systems.
- Practical experience deploying and running software in AWS or a comparable cloud, including CI/CD and observability.
- Strong communication, product thinking, ownership, and the ability to work with technical and non-technical stakeholders.
- Interest in engineering effectiveness, developer experience, delivery flow, automation, and responsible resource usage.
Nice to have
- Experience with FinOps, cloud cost optimization, engineering analytics, developer experience, or engineering operations.
- Experience with agent frameworks, MCP integrations, Amazon Bedrock, AgentCore, or the Strands Agents SDK.
- Experience building internal tools, dashboards, or data products used for decision-making.
Culture & Benefits
- Join a small team using AI in its own work and building products for colleagues across the business.
- Meaningful ownership and room to shape solutions to complex engineering effectiveness problems.
- Inclusive and respectful environment with more than 50 nationalities represented.
- Access to tools, training, and support for continued learning and professional growth.
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