Highlights
Build reliable pipelines, support GenAI features, and contribute to high-quality product experiences.
Description
Job Summary
pJoin Accuris as an Associate Data and GenAI Engineer to tackle high-value, complex data challenges. You’ll be part of a team building reliable data pipelines and GenAI-powered features, turning raw data into actionable insights.
Responsibilities
- Build and maintain ETL/ELT pipelines for structured and unstructured data
- Implement Medallion Architecture to ensure data quality and standardization
- Support RAG systems with document ingestion, embedding, and retrieval evaluation
- Apply prompt engineering practices and evaluate model outputs
- Improve system reliability through monitoring and incident handling
Required Skills
- Data Engineering
- GenAI Development
- Python Programming
- SQL Querying
- CI/CD Practices
Required Skills Explained
- Strong Python fundamentals and clean coding habits.
- Solid SQL skills for transformations, data quality checks, and analytics-ready outputs.
- Understanding of Medallion architecture concepts and its applications in data engineering.
- Familiarity with LLMs, RAG systems, embeddings, vector databases, and prompt engineering practices.
- Basic exposure to Databricks/Spark/Delta Lake for data processing tasks.
- Experience with GenAI technologies such as embedding vectors and vector search concepts.
Who is this for
pWe are seeking individuals with a passion for data and machine learning. Ideal candidates have experience in building robust systems and are eager to work on cutting-edge technologies.
Why This Job is a Good Opportunity
ulliTo work on high-value, messy data problems that have real-world impact.liA chance to contribute to the development of production RAG systems that are grounded in retrieval and citation practices.liOpportunity to gain hands-on experience with state-of-the-art technologies like LLM APIs and vector databases.liJoin a company committed to accelerating innovation and supporting engineering workflows.liWork for a company valued for its standards content and workflow solutions, backed by 60 years of industry expertise.
Interview Preparation Tips
- Review your Python and SQL knowledge thoroughly, focusing on coding best practices.
- Study Medallion architecture concepts and be prepared to discuss how you have applied them in previous projects.
- Prepare examples of projects where you worked with embeddings, vector databases, or RAG systems.
- Practice writing clear and concise technical documents and comments in your code.
- Be ready to discuss the importance of data quality and reliability in production systems.
Career Growth in This Role
pThe role offers significant opportunities for career growth as it involves both Data Engineering and GenAI Engineering. As you gain experience, you can specialize further in either area or explore interdisciplinary roles that combine both. The hands-on nature of the work will help you build a robust portfolio of projects that can be showcased to future employers.pWith Accuris' focus on innovation and its established position in the engineering community, there are numerous opportunities for advancement within the company. You may have the chance to lead larger-scale data initiatives or take on more senior technical roles over time.
Explore More Opportunities
Skills
Frequently Asked Questions
What kind of projects will I work on?You’ll work on building ETL/ELT pipelines, implementing Medallion Architecture, and supporting RAG systems with document ingestion and retrieval.
Is there a chance to learn new technologies?Absolutely! You will have the opportunity to work with Python, SQL, Spark/Databricks, and GenAI APIs, enhancing your skill set continuously.
What is the company culture like at Accuris?Accuris fosters innovation and collaboration. We value diversity and provide equal opportunities for all employees to grow and excel in their careers.
