AI Engineer

• Building standalone applications that interact with LLM models
• Building RAG-based applications
• Understanding of Vector DBs like Solr for LLM based applications
• Integrate models with existing systems and APIs.
• Implement production quality ETL jobs
• Preprocess and manage data for training and deployment.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Write clean, maintainable, and efficient code.
• Document development processes, code, and APIs.

• Proven experience in building customer facing ML based APIs
• Experience in developing applications that are scalable to handle TBs of data
• Strong knowledge of API integration (RESTful, GraphQL).
• Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.)
• Familiarity with deployment tools (Docker, Kubernetes).
• Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.
• Excellent problem-solving and communication skills.
• Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus
• Ability to work collaboratively in an agile team environment., * Degree in Computer Science, Data Science, or related field.
• Certifications in machine learning, data science, or cloud computing.
• Portfolio showcasing past projects or contributions to open-source projects.

Heidelberg Materials

• Raleigh, NC

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