AI Integrations Engineer

We are seeking an experienced AI Integrations Engineer to join our team and contribute to the integration of various software components with public Large Language Models (LLMs) to enhance developer experience on the Internet Computer. This role combines expertise in AI/ML technologies with distributed systems engineering to create seamless, intelligent developer tools and workflows. This is a hybrid-onsite position, based out of our soon-to-be-opened office in the heart of San Francisco.

Key Responsibilities

1. Design and implement integrations between existing developer tools and various LLM APIs (e.g., OpenAI, Anthropic, Meta's Llama)
2. Develop and maintain robust API wrappers and middleware to facilitate smooth communication between Internet Computer components and AI services
3. Create intelligent automation tools that leverage LLMs to improve developer productivity
4. Optimize prompt engineering and model selection for different use cases
5. Implement caching strategies and fallback mechanisms for AI service integrations
6. Develop monitoring and observability solutions for AI-enhanced systems
7. Collaborate with product teams to identify opportunities for AI integration
8. Write technical documentation and integration guides
9. Ensure compliance with AI service providers' terms of service and rate limits

Requirements

1. Bachelor's degree in Computer Science, Software Engineering, or related field
2. 3+ years of software development experience
3. Strong programming skills in Rust, JavaScript/TypeScript, or similar languages
4. Experience working with REST APIs and building API integrations
5. Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and prompt engineering
6. Understanding of distributed systems and microservices architecture
7. Experience with version control systems (Git) and CI/CD pipelines

Preferred Qualifications

1. Experience with the Internet Computer ecosystem and Motoko programming language
2. Knowledge of AI/ML concepts and natural language processing
3. Experience with container orchestration (Kubernetes, Docker)
4. Familiarity with WebAssembly and canister development
5. Track record of building developer tools or developer experience improvements
6. Contributions to open-source projects
7. Experience with real-time systems and websocket implementations

Technical Skills

1. Programming Languages: Rust, JavaScript/TypeScript, Python
2. Frameworks & Tools: Node.js, React, Internet Computer SDK
3. AI/ML: LLM APIs, prompt engineering, vector embeddings
4. Infrastructure: Docker, Kubernetes, CI/CD
5. Protocols: REST, GraphQL, WebSocket
6. Version Control: Git, GitHub

Base Salary Range: $175,000 - $235,000/yr

This position can be considered across multiple levels. Total compensation at DFINITY consists of base salary + generous bonus and is determined based on multiple factors including job leveling, areas of expertise, educational background, geographic location and overall experience.

In addition to the cash components of our offers, we have generous benefits including top tier medical, dental, and vision insurance; disability insurance; life insurance; 401(k); flexible PTO policy in addition to paid holidays.