AI Data Engineer (AI)

TL;DR

AI Data Engineer (AI/ML): Designing and managing data pipelines, platforms, and tools that power intelligent AI applications with an accent on scalability, security, and performance of ML and LLM workloads. Focus on implementing scalable architectures for embeddings, vector databases, and real-time/offline analytics workflows.

Location: Remote (United States)

Salary: $152,000 - $190,000 USD per year

Company

hirify.global is transforming the employee experience by providing secure, intuitive technology for HR professionals.

What you will do

• Design, build, and maintain data pipelines for structured, unstructured, and semi-structured data sources.
• Develop and optimize data models, ETL processes, and batch/streaming data infrastructure.
• Partner with data scientists to support training, evaluation, and deployment of ML and LLM models.
• Implement scalable architectures for embeddings, vector databases, and retrieval pipelines.
• Ensure data quality, lineage, observability, and governance across all data products.
• Deploy secure, cloud-native data infrastructure (AWS, Azure, GCP) for high-volume AI workloads.

Requirements

• 5+ years of experience as a Data Engineer building large-scale, production-grade data pipelines.
• Strong command of SQL, Python, and distributed data processing frameworks (Spark, Flink, Beam).
• Hands-on experience with ETL/ELT tools and orchestration systems (Airflow, dbt, Prefect, Dagster).
• Familiarity with cloud-native data platforms (Snowflake, BigQuery, Redshift, Databricks).
• Experience supporting ML/AI workloads and collaborating with model development teams.
• Proficiency in modern DevOps tooling for data infrastructure (Docker, Terraform, CI/CD).

Nice to have

• Experience with AWS (Redshift, S3, Lambda), Azure (Data Lake, Synapse), GCP (BigQuery, Cloud Functions).
• Knowledge of streaming technologies like Kafka, Kinesis, Pub/Sub, Spark Streaming, Apache Flink.
• Familiarity with storage & processing like Snowflake, Databricks, Parquet, Delta Lake.
• Knowledge of vector search technologies such as FAISS, Pinecone, Weaviate, txtai.

Culture & Benefits

• Remote-first and results-driven flexibility to do your best work.
• Access to learning resources, leadership programs, and growth opportunities.
• Competitive benefits, a performance-based bonus program, and equity opportunities.
• Flexible time off, paid holidays, and flexible leave programs designed to support every season of life.
• Inclusive culture where every voice is valued, collaboration is celebrated, and success is shared.