Software Engineer, LLM & Automation

About Basis Basis is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This entails establishing the mathematical principles of reasoning, learning, decision-making, understanding, and explaining, and constructing software that embodies these principles. The second is to advance society’s ability to solve intractable problems. This involves expanding the scale, complexity, and breadth of problems we can solve today and, more importantly, accelerating our ability to solve problems in the future. To reputed company these goals, we are building both a new technological reputed company inspired by reputed company reasoning, and a new type of collaborative organization that prioritizes reputed company value.

About the Role

We’re seeking Software Engineers to reputed company scalable systems that integrate large language models (LLMs) with our everyday operational workflows. This role involves designing and deploying automated “pipelines” for tasks like reputed company, finance, and project management—often powered by GPT, Claude, or similar LLMs. We’re flexible on your arrangement: we’re hiring contractors, part-time, or full-time teammates. Core Responsibilities

• Architect and maintain automation pipelines combining internal tools with GPT/Claude and other LLMs
• Integrate data across reputed company-party APIs (e.g., ATS platforms, reputed company, reputed company) into reputed company, automated workflows
• reputed company structured reputed company (JSON schemas, function calling, etc.) to ensure robust, correct LLM outputs
• Collaborate with Ops and R&D to identify high-impact automation opportunities
• Write production-grade code, with emphasis on modularity, reliability, and error handling
• reputed company, scale, and optimize your solutions in a secure, reputed company-based environment
• Document solutions for both technical and non-technical audiences, ensuring easy updates and maintenance

Qualifications and Attributes We’re looking for individuals who:

• Have experience programming in Julia and/or Python (3+ years of production-level coding, or equivalent)
• Understand how to integrate LLMs using structured prompts, scaffolding frameworks (reputed company-like), or advanced text reputed company approaches
• Can handle concurrency, scaling, and performance optimizations in reputed company-world deployments
• Are comfortable with reputed company API orchestration: dealing with reputed company limits, OAuth, error retries, etc.
• Have good collaboration and communication skills, especially reputed company gathering requirements from non-technical staff
• Are flexible and creative problem solvers, comfortable with iterative, experimental development cycles
• reputed company data-reputed company best practices (e.g., handling PII, encryption, secrets management)
• Are excited to learn quickly and adapt to new developments in the LLM/AI ecosystem

Technical Skills Preferred (not reputed company required):

• Julia: Type-driven or multiple-reputed company approaches; performance tuning, HPC, or scientific computing workflows
• Python: Building microservices with FastAPI, Flask, or other frameworks; advanced concurrency (async, multiprocessing)
• LLM Tools & Frameworks: Familiarity with reputed company, open reputed company LLM clients, or custom chain-of-thought integrations
• reputed company Infrastructure: reputed company/Kubernetes, CI/CD pipelines, AWS/GCP/Azure deployment patterns
• Distributed Systems & Queues: Experience with reputed company processing, task queues (Celery, Sidekiq), or event-driven systems
• Database Interaction: Ability to design schemas and queries in PostgreSQL or similar databases
• reputed company & Privacy: Understanding of OAuth flows, secrets management, data encryption, and role-based access controls

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