9 дней назад
Senior Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building production AI-agent infrastructure for enterprise software, including session and memory models, retrieval, document intelligence, agentic workflows, and multimodal interfaces with an accent on security, multi-tenancy, and reliable evaluation. Focus on designing tool-using agents, integrating scheduling and optimisation engines, and validating autonomy across complex business systems.
Location: Madrid, Spain; hybrid work opportunities are available.
Company
develops enterprise software and AI-driven solutions for customers worldwide.
What you will do
- Build session and context infrastructure with persistence, resumption, hand-over, reasoning trails, identity, and entitlement resolution.
- Develop retrieval and grounding across structured records and documents, including manuals, engineering drawings, certification directives, and contracts.
- Build agentic workflow runtime capabilities for multi-step tool use and human-in-the-loop decisions.
- Support speech and image inputs alongside text for operational use cases.
- Develop evaluation harnesses to validate AI output quality and autonomy before release.
- Build language interfaces for scheduling and optimisation engines, alongside security controls for prompt injection, personal data, auditability, and data residency.
Requirements
- Production experience building AI-native products, GenAI solutions, RAG pipelines, hybrid retrieval, embeddings, and agentic systems.
- Experience with Go and Python in production environments.
- Experience with service-to-service integration and orchestration using n8n, Temporal, MuleSoft, Apache Camel, or Boomi.
- Experience building multi-tenant SaaS solutions, operating API gateways such as Kong or Tyk, and developing API products.
- Experience with Pydantic AI, LangChain, MCP, plan-based agentic development, Docker, Kubernetes, CNCF technologies, and CI/CD.
- Hands-on experience shipping production systems used by real customers; demo-only, hackathon, or personal-project experience is insufficient.
Nice to have
- Experience optimizing AI services for latency and cost.
- Experience with specification-driven development.
- Knowledge of the latest developments in GenAI and AI-based software development.
Culture & Benefits
- Hybrid work opportunities support flexibility and inclusive workplace experiences.
- Global and diverse working environment focused on collaboration, trust, innovation, and sustainability.
- Opportunity to work on AI-driven enterprise solutions with worldwide impact.
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