Backend Engineer — Data Export & AI Assistant

AppsFlyer; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

AppsFlyer is seeking a Backend Developer to help shape our data export solutions and AI-enabled features. You will work on scalable backend services that move data to S3, BigQuery, and Snowflake, while enhancing the AI Assistant backend and agent orchestration.

You will own features end‑to‑end, from design to production, and tackle large‑scale data processing securely. A strong foundation in Scala/Java/Python and Big Data tools is essential for success.

Qualifications

• 3+ years of backend development experience.
• Strong experience in Scala, Java, Python, or a similar language.
• Experience with cloud platforms (AWS, GCP) and data stores.
• Hands-on Spark and Airflow experience.
• Experience building APIs and data‑intensive services on large databases.
• Exposure to LLMs and AI-powered features.

Responsibilities

• Build and scale backend data export services and pipelines with third‑party vendors.
• Develop AI Assistant backend: orchestration, tool integrations, and secure human‑in‑the‑loop actions.
• Own and develop products end‑to‑end from design to production.
• Process and deliver massive data volumes reliably, efficiently, and securely.
• Collaborate with Product Managers and Engineers to deliver customer value.
• Continuously learn and evaluate new technologies to scale with growth.

Skills

Backend development

Scala/Java/Python

Cloud platforms (AWS, GCP)

Big data tools (Spark, Airflow)

API design

LLMs exposure

Education

B.Sc. in Computer Science or equivalent

Tools

PostgreSQL

S3

BigQuery

Snowflake

Spark

Airflow

MCP

Job description

AppsFlyer is seeking a Backend Developer to help shape our data export solutions and AI-enabled features. You will work on scalable backend services that move data to S3, BigQuery, and Snowflake, while enhancing the AI Assistant backend and agent orchestration.

You will own features end‑to‑end, from design to production, and tackle large‑scale data processing securely. A strong foundation in Scala/Java/Python and Big Data tools is essential for success.