Full-stack Engineer

• Prompt & Pipeline Engineering : Design and implement robust prompt-tuning and orchestration pipelines using frameworks like LangChain or LlamaIndex. This includes techniques such as prompt chaining, few-shot prompting, and developing autonomous agents.
• Model Integration & Deployment: Integrate and deploy LLMs (both proprietary and open-source) into production environments. This involves managing API integrations, handling request/response schemas, and ensuring models are performant and cost-effective.
• Data & Knowledge Systems: Design and build data pipelines for Retrieval-Augmented Generation (RAG) systems. This includes creating vector stores, optimizing embedding strategies, and ensuring data is up-to-date and accessible for real-time model queries.
• Backend & API Development: Develop and maintain high-performance, fault-tolerant backend services and APIs that serve as the core of our AI-centered applications.
• Performance Benchmarking: Conduct quantitative analysis and A/B testing to benchmark the performance, latency, and cost of different LLM prompts and models, and iterate on solutions based on data-driven insights.
• Cloud Infrastructure: Utilize cloud platforms (GCP, AWS, Azure) to deploy, manage, and scale applications and their supporting infrastructure.
• Collaborative Development: Work closely with frontend developers and product managers to integrate LLM-powered features seamlessly into the user experience and deliver value-driven solutions.

Software Engineer

Senior Software Engineer, Enterprise AI

Software Engineer, B2

Software Engineer, City Platform