3 дня назад
Lead AI Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead AI Engineer (LLM/RAG): Design and build applied AI solutions using large language models, retrieval-augmented generation, and agentic workflows, taking them from prototypes to scalable production systems with an accent on enterprise integration, evaluation, and cloud-native engineering. Focus on architecting secure AI platforms, optimizing retrieval and model operations, mentoring engineers, and influencing long-term AI strategy through hands-on delivery.
Location: Madrid, Spain; hybrid work opportunities are available.
Company
develops enterprise software solutions powered by AI for organizations worldwide.
What you will do
- Design and architect AI-powered systems using LLMs, retrieval-augmented generation, agentic workflows, and enterprise data.
- Develop secure, maintainable, production-ready platforms and cloud-native services for models, tools, retrieval systems, and business workflows.
- Build prototypes and proof-of-concepts to validate technologies and identify business opportunities.
- Establish evaluation, testing, benchmarking, monitoring, observability, and continuous-improvement practices for AI systems.
- Lead architecture reviews and technical discussions while driving engineering standards and mentoring engineers.
- Collaborate with product teams, architects, customers, partners, and domain experts to deliver measurable business impact and shape AI strategy.
Requirements
- Bachelor’s degree in computer science, software engineering, AI, data science, or a related field.
- 8+ years of professional experience in AI, machine learning, and/or software engineering, with a record of delivered projects.
- Experience taking AI solutions from scoping and design through development, testing, deployment, and monitoring.
- Strong programming skills in one or more mainstream languages such as Python, Golang, C#, or TypeScript.
- Experience with retrieval architecture, embeddings, vector databases, search technologies, APIs, distributed services, cloud-native architectures, CI/CD, automation, security, DevOps, and MLOps/LLMOps.
- Ability to integrate enterprise applications, business processes, workflows, and data platforms and communicate technical concepts to technical and non-technical audiences.
Nice to have
- Experience with LLM serving platforms, AI gateways, model routing, inference serving, and multimodal orchestration.
- Experience with agentic AI frameworks such as LangGraph, PydanticAI, Semantic Kernel, CrewAI, or AutoGen.
- Experience with AI evaluation and observability tools, model development, fine-tuning, benchmarking, and prompt engineering.
- Experience with Kubernetes, Docker, Helm, Terraform, GPU infrastructure, AI accelerators, and Azure, AWS, or Google Cloud AI services.
- Experience with enterprise software domains, customer-facing demonstrations, open-source AI projects, technical communities, conferences, or publications.
Culture & Benefits
- Hybrid work opportunities supporting flexibility and inclusive workplace experiences.
- Global and diverse working environment focused on collaboration, innovation, and sustainability.
- Opportunities to work on AI-driven enterprise software with worldwide impact.
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