AI Platform Engineer: Data Pipelines & LLM Apps (Remote)

SC Comm India-IND; Spain; Remote; EUR 60,000 - 70,000; Full time

Job summary

Speedcast seeks an AI Engineer to design and operate data pipelines powering AI applications. You will productionize LLM-powered services, focusing on reliability, security, and cost efficiency within a lakehouse platform on AWS.

You will collaborate with Data Engineering, Data Science, and DevOps to deliver scalable AI-driven solutions while ensuring data quality and governance across the stack.

Qualifications

• 3-5 years of software or data engineering experience with AI/LLM apps.
• Proficient in Python and SQL with production-grade data pipelines.
• Hands-on AWS, Docker, and API development experience.
• Experience integrating foundation models via APIs (OpenAI, Bedrock, Anthropic).
• Knowledge of data quality, governance, and security best practices.

Responsibilities

• Design, build, and operate AI data pipelines for applications.
• Productionize LLM-powered services with APIs and containers.
• Collaborate with Data Science, DevOps, and software teams.
• Ensure data quality, security, and governance in production.
• Contribute to platform reliability, cost efficiency, and observability.

Skills

Python

SQL

AWS

Docker

APIs

Data pipelines

LLM integration

Git

Agile

Tools

Kafka

Iceberg

Parquet

dbt

S3

Terraform

CloudFormation

Job description

Speedcast seeks an AI Engineer to design and operate data pipelines powering AI applications. You will productionize LLM-powered services, focusing on reliability, security, and cost efficiency within a lakehouse platform on AWS.

You will collaborate with Data Engineering, Data Science, and DevOps to deliver scalable AI-driven solutions while ensuring data quality and governance across the stack.