Member of Technical Staff

RESPONSIBILITIES

Responsible for designing novel software experiences that will become a daily driver of Valkai workflows and working with frontier models and orchestrate new software interfaces to help clients leverage Valkai’s products. Duties include:

• Creating, designing, testing, and optimizing organizational-level interfaces to collaborate with AI, with a focus on meshing these interfaces into users’ everyday workflows;
• Building agents and fine-tuning LLMs to accomplish the complex tasks, focusing on maintaining the quality of Valkai products through regular coding maintenance;
• Solving complex AI, LLM, and computer science problems, focusing on achieving efficient workflows;
• Cleaning and servicing Valkai’s software regularly to ensure that other team members can accurately understand and utilize the systems and software;
• Building applications and utilizing Valkai’s stack tools, including Next.js, React, Typescript, Python, Postgres, Azure, Vespa, Langgraph, and Celery;
• Conducting software retrieval tasks over peta-byte scale documents, with varying formats (graphs, tables, diagrams, etc.) including creating and utilizing 1000-step planning agents with human-in-the-loop architectures;
• Creating and maintaining data security measures when interacting with sensitive client data;
• Working closely with all teams across Valkai and Valkai customers to improve product preparation and performance including collaborating directly with customers to design product experiences and feature suggestions into new software system;
• And other duties as assigned.

REQUIREMENTS

Bachelor’s degree in Computer Science, Software Engineering, or related field (or foreign equivalent), plus three (3) year of experience required in the following:

• Experience with building frontend systems using TypeScript, React, Next.js, or similar programming languages;
• Experience with designing backend services using Python, FastAPI, PostgreSQL, Redis, Celery, and similar programming languages;
• Experience with building large scale fault tolerant distribution systems; and
• Experience with dashboard analytics to improve operational efficiency of designed automated unit turn tracking systems.