Deltacubes - Generative AI Engineer

Experience

• 10-12 years of professional experience in machine learning and software engineering, with a track record of shipping production-grade services.

ML Fluency

• Hands-on expertise in modern AI architectures (LLMs, GNNs, Deep Learning) as well as classical modeling (Gradient Boosting, Regression).

The AI Stack

• Deep proficiency with the Generative AI ecosystem, specifically LangGraph, LangSmith, Google ADK, Google Vertex AI and AWS bedrock.

Domain Expertise

• Specialized knowledge in at least one area: NLP, Information Retrieval, Computer Vision, or Advanced Statistical Modeling.

Engineering Rigor

• Ability to write clean, maintainable, and highly-tested code (Python) that directly solves customer pain points.

Communication

• Exceptional written and verbal communication skills; ability to translate complex technical concepts for non-technical stakeholders.

Mission-Driven

• A genuine passion for building an open, global financial system.

Nice To Haves

• Education: Advanced degree (Master's or PhD) in CS, ML, Statistics, or a related quantitative field.
• Data Infrastructure: Experience with large-scale data tools such as Spark, Kafka/Kinesis, Snowflake, or Databricks.
• Workflow Orchestration: Familiarity with Apache Airflow or similar DAG-based orchestration tools.
• Ethical AI: Deep understanding of model interpretability, bias mitigation, and responsible AI governance.

(ref:hirist.tech)