Senior AI Engineer (AWS Bedrock)

About the Position

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.

Curious about what it's really like to work at Automat-it?

Explore our benefits, culture, and what success in your first year could look like here.

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• Build and deliver production-ready GenAI systems on AWS, including Amazon Bedrock, AgentCore, RAG systems, intelligent document processing, voice AI, and LLM-powered services.
• Design and implement AI agents using Amazon Bedrock AgentCore, AWS Strands, MCP, and modern orchestration frameworks for real customer solutions.
• Work closely with Solution Architects, DevOps, and customer teams to turn discovery workshops, ideas, and POCs into production-ready AI systems.
• Evaluate and select the most appropriate LLMs based on accuracy, latency, cost, and customer requirements.
• Build reusable AI components and deployment patterns that accelerate future customer projects.
• 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.

Requirements

• Strong hands-on experience building and deploying AI / GenAI systems in production.
• Strong hands-on AWS experience beyond model invocation, including infrastructure, IAM, serverless services, networking, storage, monitoring, and production deployments using Amazon Bedrock.
• Experience building RAG systems in practice, including retrieval logic, vector databases, and output quality improvements.
• Strong understanding of modern LLM ecosystems, including commercial and open-source models, their trade-offs, deployment options, and production use cases.
• 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).
• Hands-on experience with Amazon Bedrock Knowledge Bases, AgentCore, Agents, AWS Strands, or MCP is a strong advantage.
• Experience selecting, evaluating and optimizing LLMs for quality, latency and cost.
• Ability to explain technical trade-offs and guide customers through AI solution design is a strong advantage.
• Experience with Infrastructure as Code (Terraform, CloudFormation or AWS CDK), Docker, Kubernetes and CI/CD pipelines is a strong advantage.
• Experience with speech-to-text, text-to-speech or Voice AI is an advantage.
• Background in Machine Learning or Data Science (including model training or fine-tuning) - an advantage.

We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Professional growth and development opportunities
• Collaborative and diverse team culture
• Flexible working hours and remote work options

About the Company

At Automat-it, we value the unique contributions of each team member. We prioritize not only the unique needs of our customers but also the growth and satisfaction of our employees. While our technological expertise and innovation are unparalleled, we understand that it’s our people who truly elevate us.

Here, you’ll have the opportunity to learn, experiment, and innovate, all while being supported by the necessary resources and encouragement. If you’re fueled by passion and driven to pursue excellence, Automat-it is the ideal destination for you to thrive and make a meaningful impact in the dynamic world of cloud technology. Come as you are, and discover the endless possibilities of being part of our dynamic team!

Sound good? Join us!