Job Description

AI Engineer – Python & Snowflake

We are seeking a highly motivated AI Engineer with strong expertise in Python and Snowflake to design, build, and operationalize AI-driven solutions on top of enterprise data platforms.

The ideal candidate will bridge data engineering, analytics, and AI/ML technologies to develop scalable, production-grade AI applications and intelligent data products. This role is ideal for someone passionate about applied AI, LLM-based systems, and modern data ecosystems, who thrives in fast-paced and innovation-driven environments.

Key Responsibilities

Design and develop AI-enabled data pipelines and intelligent data platforms

Build scalable backend solutions and data workflows using Python and Snowflake

Prepare, clean, and transform large-scale datasets for AI/ML and LLM applications

Develop feature engineering processes, embeddings, and semantic data models

Support the deployment, integration, and monitoring of AI/ML models in production environments

Partner with Data Scientists and Engineering teams to operationalize AI solutions (MLOps / LLMOps)

Build APIs and services exposing AI capabilities to internal and external applications

Optimize Snowflake architecture and performance for AI and analytics workloads

Develop data pipelines supporting RAG (Retrieval-Augmented Generation) frameworks

Ensure data quality, governance, scalability, and reliability across AI workflows

Research and adopt emerging AI technologies including LLMs, vector databases, AI agents, and automation frameworks

Required Skills & Experience

3–7 years of experience in AI Engineering, Data Engineering, or Machine Learning Engineering

Strong hands-on programming experience with Python (must-have)

Strong experience working with Snowflake (must-have)

Solid expertise in SQL and data modeling concepts

Experience building scalable ETL/ELT pipelines in cloud environments

Good understanding of machine learning concepts, workflows, and data preparation processes

Experience deploying or supporting ML models in production environments

Experience working with APIs, microservices, and system integrations

Familiarity with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications

Experience working with LLMs, RAG architectures, vector databases, or AI agents

Familiarity with MLOps / LLMOps frameworks and best practices

Experience with orchestration tools such as Airflow or Prefect

Understanding of modern AI frameworks such as LangChain, Hugging Face, or similar technologies

Experience working in fast-paced startup or high-growth technology environments

Strong problem-solving mindset and ability to quickly learn new technologies

Matrix is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.

We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.

With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi‑Tech, Education, Defense, and Security—Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.

At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.

Matrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together.

Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.

To learn more, visit: www.matrix-ifs.com

EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages

Requirements

None