AI Software Data Team Engineer

We are looking for a versatile AI Software Engineer to serve as the critical link between our strategic AI initiatives and our core production engineering team.

In this unique role, you will partner directly with our data team to architect and implement data pipelines and intelligent functions. However, you are not just building prototypes; you are a software engineer first. You will be responsible for operationalizing AI features, ensuring they meet the strict architectural, scalability, and CI/CD standards of our Engineering team.

• Bridge the Gap:
  Translate high-level AI strategies and model prototypes into robust, production-grade microservices and libraries.
• Build Pipelines:
  Design and implement efficient data ingestion and processing pipelines (ETL/ELT) that feed our AI models.
• Integrate Systems:
  Work intimately with our Backend team (Node.js/Type Script) to expose AI capabilities via clean, well-documented APIs.
• Infrastructure & Ops:
  Deploy and manage AI workloads using cloud services; own the deployment and orchestration of your services.
• Engineering Excellence:
  Enforce strong software development principles—comprehensive testing, code reviews, and maintaining CI/CD pipelines.

• Software Engineering Foundation: 5+ years of professional experience in backend software development. You write clean, maintainable, and testable code.
• Dev Ops Mindset:
  Hands-on experience with Kubernetes, Docker, and Cloud Platforms (AWS/GCP/Azure). You know how to troubleshoot a crashing pod.
• CI/CD:
  Experience setting up and maintaining pipelines (Git Hub Actions, Git Lab CI, etc.).
• AI/ML Fluency:
  You understand the ecosystem. You know the difference between training and inference, you understand embeddings, and you can speak intelligently about LLMs and RAG architectures.
• API Design:
  Strong grasp of API design patterns.
• Database
  
  Skills:
  
  Proficiency in SQL (Postgres) and No
  
  SQL environments.
• Data Handling:
  Experience designing pipelines using tools like Apache Airflow, Kafka, or cloud-native serverless functions.

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