Senior AI Engineer

• Build and deliver production-ready GenAI systems on AWS, including RAG pipelines, retrieval logic, and LLM-based services
• Design and implement agent-based or multi-step workflows for real use cases (not just prototypes)
• Work closely with Solution Architects, DevOps, and client teams to turn ideas and POCs into scalable systems
• Deploy, monitor, and improve ML/LLM systems in production, focusing on performance, cost, and reliability
• Work with AWS services such as Bedrock, OpenSearch, Lambda, S3, DynamoDB, SageMaker, and CloudWatch
• Adapt existing ML or GenAI code into production environments when needed
• Continuously improve system quality, including retrieval performance, output consistency, and evaluation approaches
• Operate in a fast-paced, project-based environment where you may own a project as the main engineer

What Success Looks Like in Year One:

• Within 12 months, you are independently owning and delivering production GenAI systems on AWS, from initial design through deployment and iteration
• Working directly with customers and making clear architectural decisions around performance, cost, and reliability
• You are comfortable taking an ambiguous problem, turning it into a working system end-to-end, and explaining the trade-offs behind your approach

• Solid experience with AWS in real projects (not just Console usage), including working with services like Bedrock, OpenSearch, Lambda, S3, or similar
• Experience building RAG systems in practice, including retrieval logic, vector databases, and output quality improvements
• Experience working with LLM frameworks or tools such as Amazon Bedrock, OpenAI, LangChain, or LlamaIndex
• Strong Python skills and a good understanding of backend system design
• Experience designing multi-agent systems or more complex orchestration workflows
• Experience with vector databases (OpenSearch, pgVector, Pinecone, etc.)
• Comfort working in fast-moving environments with short project cycles (weeks to a few months)
• Strong communication skills and ability to work directly with clients and cross-functional teams
• Ability to clearly explain technical decisions, limitations, and trade-offs in English (written and spoken)
• Experience with AWS Bedrock advanced features (e.g. Knowledge Bases, agent orchestration) - an advantage
• Experience with Kubernetes, Docker, IaC Terraform and CI/CD pipelines - an advantage
• Background in Machine Learning or Data Science (including model training or fine-tuning) - an advantage

Automat-it Ver todas las vacantes

• Madrid
• Permanente

• Tiempo completo

• Hace 8 horas
• Solicite fácilmente

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs. We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech. We’re looking for an AI Engineer (Senior level or strong Middle) to join our team and work directly with startup’s Data Science and R&D teams. This is a hands-on, delivery-focused role where you will own projects end-to-end, from early design to production deployment. The role is focused on building production-grade Generative AI systems on AWS, especially RAG pipelines, agent-based workflows, and LLM-powered backend services. This is not a pure research or model training role, it’s about designing and shipping reliable systems under real constraints. Work location: hybrid from Madrid., Be at the Forefront of Cloud Innovation Join a global leader and AWS Premier Tier Services Partner. We don’t just use the cloud; we master it. As an All-In AWS partner, you’ll work with the most sophisticated tech stacks and help maintain our status as a top-tier collaborator in the global ecosystem. Work on Meaningful, Large-Scale Impact We specialize in helping startups and scaleups scale at speed. By joining us, you’ll be part of a team that has successfully completed hundreds of complex projects, directly influencing the growth of the next generation of unicorns through our unique “Product-based Professional Services” approach. Accelerate Your Career Trajectory In our fast-paced, dynamic environment, “growth” isn’t just a buzzword. You will have:

• Clear Progression: Defined career paths from engineering to leadership.
• Continuous Learning: Sponsored AWS certifications and access to internal “Expert-led” knowledge sharing.
• Cutting-Edge Exposure: Early access to beta AWS features and high-level architectural challenges.

Thrive in a Culture of Excellence We pride ourselves on a collaborative, supportive, and transparent culture. You’ll work alongside and learn from some of the industry’s brightest architects and DevOps engineers who are committed to mentorship and collective success, including AWS Gold Jacket recipients. Global Reach, Boutique Feel With over 250 employees across EMEA and the USA, enjoy the stability of a mature, profitable company with the agility and spirit of a startup. Whether you are working on GenAI & Agentic use cases, DevOps automation, FinOps optimization, or Kubernetes migrations, your voice is heard, and your contributions are visible. Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.