Applied AI Engineer
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Job Description
About Hasura:
Hasura’s mission is to be the default data access layer for next-gen apps and AI by making it radically easy for developers to connect their apps to data, regardless of its location. They aim to eliminate inefficiencies in enabling fast, secure, and reliable API access to data, allowing developers to focus on building, shipping faster, and scaling confidently. With 30,000 GitHub stars, 600M downloads, and an open-source core, Hasura is a popular choice among developers and powers the data access layer at companies ranging from Fortune 500 enterprises to startups. They are a global team with offices in San Francisco and Bangalore. Hasura, Inc. is an Equal Opportunity/Affirmative Action employer.
Job Description: Applied AI Engineer
Hasura is seeking an Applied AI Engineer to bridge the gap between cutting-edge AI technology and real-world applications, while sharing insights with the broader community. This role sits at the forefront of AI innovation, focusing on showcasing how PromptQL empowers developers to work more effectively with AI.
Responsibilities:
• Technical Content Creation:
• Develop comprehensive tutorials and documentation demonstrating PromptQL’s capabilities in modern AI applications.
• Create technical demos highlighting PromptQL’s advantages over traditional AI approaches (RAG, tool-calling, multi-agents, etc.).
• Build and maintain sample applications showcasing best practices.
• Evaluate and benchmark PromptQL against industry standards and state-of-the-art technologies.
• Author technical blog posts on AI/ML trends and PromptQL implementations.
• Technical Advocacy:
• Stay updated on advancements from major AI labs and integrate new developments into PromptQL examples.
• Develop and present benchmarks and examples comparing PromptQL to traditional AI workflows at meetups and conferences.
• Contribute to product strategy based on industry feedback and trends.
• Provide constructive feedback on documentation and onboarding to improve the product experience.
Requirements:
• 5 years of software development experience
• Strong understanding of data pipelines and AI/ML concepts, especially in AI application development, LLMs, RAG, tools, and agents.
• Strong technical writing skills with a portfolio of blog posts or tutorials.
• Experience speaking at technical conferences or meetups.
• Excellent communication skills, capable of explaining complex technical concepts clearly.
• Proven ability to build and maintain relationships with technical communities.
• Excellent organizational skills for managing meetups, hackathons, speaking engagements, creating calendars, and proactively/reactively addressing community developments.
Nice to Have:
• Experience building AI agents or assistants.
• Familiarity with vector databases and embedding technologies.
• Experience presenting to senior technical audiences.
• Active participation in AI/ML communities.
• Experience creating technical video content.
Location: San Francisco, CA (3 days a week in the office).
Compensation: $150,000 – $200,000 (including bonus) plus ESOPs.
