Centralized Data Engineer for Large Language Models
3 weeks ago
At a16z, we believe that data is the backbone of informed decision-making and effective support for our portfolio companies. Our centralized data organization builds and manages the infrastructure that supports our data lake, data pipelines, data ingestion, and data visualizations. We leverage cutting-edge General Artificial Intelligence (GenAI) alongside traditional data & analytics to empower our firm.
The RoleWe are seeking a highly skilled Full Stack Engineer to join our team in developing applications for our large language model (LLM) projects. As a key member of our centralized data organization, you will work across the entire stack, from front-end development to backend systems, ensuring seamless integration and functionality. Your ability to move up and down the stack as needed will be critical in delivering robust and user-friendly applications.
Your primary responsibilities will include:
- Designing, developing, and maintaining front-end applications using modern frameworks and tools
- Building and optimizing backend services and APIs to support front-end functionalities
- Working with LLMs and building robust applications that leverage GenAI
- Collaborating with cross-functional teams to gather requirements and translate them into technical solutions
- Implementing best practices for code quality, performance, and security across the stack
- Developing and integrating with third-party tools, such as Slack, to enhance user experiences
- Working with data analytics pipelines and workflows to ensure seamless data integration and processing
To succeed in this role, you should possess:
- 6+ years of experience in full-stack development, with a strong focus on both front-end and backend technologies
- Experience working with LLMs, either in a work or hobby capacity, preferred
- Proficiency in front-end frameworks
- Proven ability to build and maintain RESTful APIs and integrate with third-party services
- Experience with database technologies such as SQL
- Familiarity with data analytics pipelines, workflows, and platforms such as Databricks
- Excellent problem-solving skills and the ability to work independently in a fast-paced environment
- Strong communication skills and the ability to collaborate effectively with cross-functional teams
- Knowledge of cloud platforms and services, such as AWS, Azure, Google Cloud, Databricks
- Experience with building chat-based applications preferred
- Familiarity with containerization technologies such as Docker preferred
This role is eligible to participate in the a16z Carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.
a16z culture emphasizes doing first-class business in a first-class way. We take a long view of relationships, believing in the future and betting the firm accordingly. We celebrate diversity, recognizing that it makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status.
Our estimated salary range for this role is between $225,000-$263,000, based on industry standards and the location.
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San Francisco, California, United States a16z Full timeAt a16z, we are seeking a highly skilled Data Engineer to join our team in building applications for large language model projects. As a key member of our centralized data organization, you will play a pivotal role in developing applications that leverage cutting-edge GenAI.The ideal candidate will have 6+ years of experience in full-stack development, with...
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