Description
You will build LLM-based applications and RAG-based systems by integrating proprietary and open-source models.
Responsibilities
- Build standalone applications and RAG-based systems that interact with LLM models.
- Integrate models with existing systems and APIs.
- Implement production-quality ETL jobs and manage data preprocessing for training and deployment.
- Collaborate with cross-functional teams to design, ship, and document new features and APIs.
- Write clean, maintainable, and efficient code for scalable applications.
Required Skills
- 5+ years of experience building customer-facing ML-based APIs.
- Experience developing scalable applications capable of handling terabytes of data.
- Proficiency with SQL and NoSQL databases including Postgres and MySQL.
- Experience with vector stores such as Solr or Elasticsearch/OpenSearch.
- Strong knowledge of API integration using RESTful and GraphQL.
- Familiarity with deployment tools including Docker and Kubernetes.
- Ability to work in an agile team environment.
- Bachelor's degree in Computer Science, Data Science, or a related field.
Preferred Skills
- Experience with DevOps tools like Jenkins, Terraform, and Cloud Formation.
- Experience with Spark, Hadoop, or EMR.
- Machine learning, data science, or cloud computing certifications.