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Job description
About the Role
Join the founding team to develop the core AI technologies that drive both client solutions and proprietary products. This position involves hands-on, comprehensive engineering tasks, ranging from creating initial prototypes to running pipelines in production environments, complete with evaluation metrics and safeguards to ensure performance integrity.
Key Responsibilities
- Develop applications utilizing large language models, including building retrieval systems, tool-using agents, orchestration mechanisms, and memory modules.
- Implement evaluation frameworks and observability tools to ensure quality is quantitatively assessed rather than assumed.
- Take full accountability for latency, cost efficiency, and system reliability within production environments.
- Collaborate across the technology stack to provide access to models through clean, well-documented APIs.
Candidate Profile
- Proficient in Python with strong foundational software engineering skills.
- Demonstrated experience deploying large language model applications such as agents or fine-tuned models to live users.
- Familiarity with cloud platforms, containerization, and continuous integration to successfully deploy developed solutions.
- A results-driven mindset with the ability to discern when features meet quality standards for release.
Preferred Qualifications
- Experience working with speech recognition or multimodal AI systems.
- Contribution to open-source projects or published research in relevant fields.
Skills
How they work
Decision Making
Accountability
Results Orientation