[Hiring] AI Engineer @Speedcast

Role Description

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.

• Design, 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.

Qualifications

• 3–5 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.

Requirements

• Experience 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.

Benefits

• Our global presence – you get to work with clients and colleagues all over the world, in every continent.
• Talented teammates – your co-workers are the best and brightest in the industry.
• Industry leadership – be part of the latest advancements shaping the future of communications.
• Ability to develop skills – work across departments to gain new skills and valuable experience.
• Choose 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 world.