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AI/ML Data Engineer - SQL, Databricks, Snowflake

Acunor Inc

Santa Clarita, CA

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JOB DETAILS
SALARY
$80–$85
SKILLS
A/B Testing, Amazon Web Services (AWS), Apache Kafka, Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Caching, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Management, Data Science, Django, Docker, Identify Issues, JavaScript, Mentoring, Messaging Technology, Microservices, Microsoft Windows Azure, Node.js, Problem Solving Skills, Production Systems, Python Programming/Scripting Language, RabbitMQ, React.js, SQL (Structured Query Language), Snowflake Schema, Software Engineering, Use Cases, User Interface/Experience (UI/UX), Vue.js
LOCATION
Santa Clarita, CA
POSTED
3 days ago

Job Summary
We are looking for an experienced AI Data Application Engineer to build and deploy AI-driven solutions that solve real business problems. This role bridges AI/ML capabilities with production-ready systems and works closely with product, data science, and platform teams.

Key Responsibilities

Build AI-powered applications using machine learning and generative AI

  • Integrate ML models, LLMs, and AI services into applications
  • Develop APIs and microservices for AI solutions
  • Work with data scientists to deploy models into production
  • Implement prompt engineering and inference pipelines
  • Ensure performance, scalability, security, and reliability
  • Support real-time and batch AI use cases
  • Set up monitoring for application and AI behavior
  • Manage model versioning, A/B testing, and rollback
  • Ensure data privacy and responsible AI compliance
  • Contribute to architecture and best practices
  • Troubleshoot production issues
  • Mentor junior team members

Required Skills & Qualifications

Application Development

5 6 years of software development experience

  • Strong skills in Python or JavaScript/TypeScript
  • Experience with FastAPI, Flask, Django, or Node.js
  • Good understanding of APIs, microservices, and system design
  • Frontend experience (React, Angular, Vue) is a plus

AI & Machine Learning

Experience integrating ML and AI services into applications

  • Understanding of ML lifecycle and inference
  • Experience with LLMs (OpenAI, Azure OpenAI, AWS Bedrock, Hugging Face)
  • Knowledge of prompt engineering and RAG
  • Familiarity with embeddings and vector search

Data & Backend

Strong SQL and database experience (relational and NoSQL)

  • Experience with Snowflake and Databricks platforms
  • Experience with data pipelines and analytics systems
  • Knowledge of APIs, caching, and messaging systems (Kafka, RabbitMQ)

Cloud & DevOps

Experience with AWS, Azure, or GCP

  • Hands-on with Docker and Kubernetes
  • Familiarity with CI/CD pipelines
  • Exposure to cloud-native AI services is a plus

About the Company

A

Acunor Inc

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