AI Engineer

SPEEDCAST; España; À distance; EUR 60 000 - 70 000; Plein temps

Résumé du poste

SPEEDCAST is seeking an AI Engineer (AI Platform & Data Engineering) to design, build, and operate data pipelines powering AI applications. Remote from Spain with right to work in Spain, offering a competitive EUR 60,000–70,000 salary depending on experience.

You will work on the lakehouse platform, ingestion, embeddings, APIs, and monitoring across Data Engineering, Data Science, and DevOps teams. You will collaborate with engineers to productionize AI workloads, ensure data quality, security,

Qualifications

• 3–5 years of software or data engineering experience.
• Experience with Python and SQL in production.
• Experience building and maintaining data pipelines and data quality.

Responsabilités

• Design, build, and operate AI data pipelines and embedding/retrieval layers.
• Productionize LLM-powered applications as reliable services with APIs and containerised deployments.
• Integrate AI workloads with lakehouse platforms (streaming and batch sources).
• Develop and maintain evaluation, logging, and feedback infrastructure for AI apps.
• Implement security, governance, and privacy best practices for AI systems.

Connaissances

Python

SQL

Data pipelines

AWS

APIs

Git

Agile/Scrum

Outils

Docker

Confluent Kafka

AWS Lambda

AWS Step Functions

AWS S3

AWS ECR

AWS Glue

dbt

Apache Iceberg

Description du poste

AI EngineerAI Engineer (AI Platform & Data Engineering)Location: Remote, Spain Candidates must be based in Spain and have the existing right to work in Spain. We are unable to offer visa sponsorship or relocation support for this roleSalary: EUR 60,000–70,000 per annum (depending on experience)Overview of PositionSpeedcast delivers highly customizable, mission-critical communication solutions for remote sites worldwide. Our Data Engineering team operates a modern lakehouse platform — Kafka streaming, Iceberg on S3, a cloud query layer, and time-series databases on AWS — and we are building AI-powered products and internal tools on top of it.As an AI Engineer on the platform side, you will build and operate the infrastructure that makes AI applications reliable in production: the data pipelines that feed them, the embedding and retrieval layers behind them, and the services, APIs, and monitoring around them. This role carries a strong data engineering component — you will cross-function with the wider team on platform duties, contributing to ingestion pipelines, data quality, and operational excellence across our data systems.The successful candidate is a strong software and data engineer who is excited by the LLM application stack, cares about reliability, security, and cost, and is capable of working independently while collaborating closely with colleagues across Data Engineering, Data Science, and DevOps.What you will doDesign, build, and operate the pipelines that power AI applications: document and data ingestion, chunking and embedding pipelines, vector stores, and retrieval services.Productionize LLM-powered applications as reliable services: APIs, containerised deployments, observability, cost monitoring, and access control.Integrate AI workloads with the data lakehouse platform — streaming (Kafka) and batch sources, query layers, and time-series stores.Build and maintain evaluation, logging, and feedback infrastructure for AI applications in production.Contribute to core data engineering duties: developing and maintaining data pipelines, ensuring data quality and reliability, and improving platform performance and efficiency.Implement security, privacy, and governance best practices for AI systems handling company data.Collaborate with data scientists, AI engineers, software engineers, and business stakeholders to deliver AI-driven solutions.Participate in Agile ceremonies, backlog grooming, sprint planning, and prioritisation activities.Evaluate and support the adoption of new AI platform technologies, tools, and architectural approaches.What we need from you3–5 years of experience in software engineering or data engineering, with hands-on exposure to AI/LLM application development.Commercial experience with Python and strong SQL skills (any major SQL dialect).Experience developing and maintaining data pipelines in production.Experience integrating foundation model APIs (e.g., Amazon Bedrock, Anthropic, OpenAI) into applications or services.Hands-on experience with AWS services (e.g., Lambda, Step Functions, S3, ECR, Glue) and AWS security best practices.Experience containerising applications using Docker.Experience building and operating APIs and backend services.Understanding of data quality, data governance, and data engineering best practices.Experience using Git for source control and working within Agile/Scrum environments.Strong analytical and problem-solving skills, and excellent communication and stakeholder management skills.Even better if you haveExperience with streaming platforms: Confluent Kafka, Avro/Schema Registry, Kafka Connect, or Apache Flink.Experience with lakehouse architectures: Apache Iceberg, Parquet, medallion patterns, and dbt.Experience with query engines such as Dremio and time-series databases such as TimescaleDB.Experience with vector search (pgvector or dedicated vector databases) and retrieval infrastructure at scale.Experience with agentic frameworks, tool use, or the Model Context Protocol (MCP).Experience with Infrastructure as Code (e.g., CloudFormation, Terraform) and CI/CD pipelines.Experience with cost monitoring and optimisation of cloud and AI workloads.Good understanding of GDPR and data governance principles.Advanced AWS expertise, including relevant AWS certifications.Working at SpeedcastAt Speedcast, we want people that like adventure. Who are motivated by work that takes uncommon ingenuity and thinking outside the box. Who relish the idea of working in an industry undergoing massive transformation. If you want to be part of a global team responsible for connecting the world, then you're in the right place.We're always pushing forward, never standing still. When people rely on you and your team to stay connected, it brings everyone closer together. We're united by the adrenaline of high-stakes projects and our love of getting the job done right. You will experiment, learn and grow here, right alongside us, every single day.Find great opportunities to make an impact. We have a \"one team, one dream\" mentality. We work together to make great things happen. Working at Speedcast isn't just a job, it's a career that you can take to new levels.Top reasons why people love working at Speedcast:Our global presence – you get to work with clients and colleagues all over the world, in every continentTalented teammates – your co-workers are the best and brightest in the industryIndustry leadership – be part of the latest advancements shaping the future of communicationsAbility to develop skills – work across departments to gain new skills and valuable experienceChoose your environment – we have an environment to fit your temperament. Choose between a traditional desk job or work in the field.Grow your career – Guide your career in the direction you want. Gain new titles and responsibilities through our internal promotion system.Work on diverse projects – every day is different with our customers from a range of industries around the worldSpeedcast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, and other protected characteristics. The US EEO is the Law poster is available by visiting the below link:https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdfSpeedcast does not accept or retain unsolicited résumés or phone calls and/or respond to them or to any third party representing job seekers.Working at Speedcast:At Speedcast, we want people that like adventure. Who are motivated by work that takes uncommon ingenuity and thinking outside the box. Who relish the idea of working in an industry undergoing massive transformation. If you want to be part of a global team responsible for connecting the world, then you’re in the right place.We're always pushing forward, never standing still. When people rely on you and your team to stay connected, it brings everyone closer together. We’re united by the adrenaline of high-stakes projects and our love of getting the job done right. You will experiment, learn and grow here, right alongside us, every single day.Find great opportunities to make an impact. We have a \"one team, one dream\" mentality. We work together to make great things happen. Working at Speedcast isn't just a job, it's a career that you can take to new levels.Top reasons why people love working at Speedcast:Our global presence – you get to work with clients and colleagues all over the world, in every continentTalented teammates – your co-workers are the best and brightest in the industryIndustry leadership – be part of the latest advancements shaping the future of communicationsAbility to develop skills – work across departments to gain new skills and valuable experienceChoose your environment – we have an environment to fit your temperament. Choose between a traditional desk job or work in the field.Grow your career - Guide your career in the direction you want. Gain new titles and responsibilities through our internal promotion system.Work on diverse projects – every day is different with our customers from a range of industries around the worldSpeedcast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, and other protected characteristics. The US EEO is the Law poster is available by visiting the below link:https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdfSpeedcast does not accept or retain unsolicited résumés or phone calls and/or respond to them or to any third party representing job seekers.