AI Software Engineer
Build production AI capabilities for automated slide and document generation, working across LLM applications, data analysis, and content generation. The role requires 3+ years in machine learning and NLP, advanced Python, and experience with LLM frameworks and production systems.
About the job
Responsibilities
- Build AI-powered features that automate data sharing through slides and documents.
- Use established frameworks and innovative techniques to create scalable, production-ready solutions for data analysis and content generation.
- Improve software reliability and performance to accelerate delivery and meet customer needs.
- Collaborate with designers and software engineers to increase product adoption and engagement.
- Develop best practices with emerging AI tools and techniques.
Technical Environment
- TypeScript, React, Tailwind CSS, and Shadcn/UI
- Node.js, Prisma ORM, and Temporal workflows
- Kubernetes on AWS with Argo CD
- SigNoz, Sentry, and PostHog
- OpenAI API, Gemini, LangChain, and Langfuse
- Linear
Requirements
- 3+ years of experience in machine learning and natural language processing, with a focus on generative models.
- Advanced Python programming skills.
- Proficiency with large language model frameworks, including LangChain, Retrieval-Augmented Generation (RAG), and LlamaIndex.
- Proven experience researching, building, and fine-tuning large language models in production environments.
Nice to Have
- Experience building LLM agents for data analysis and content generation.
Compensation and Benefits
- Competitive compensation and meaningful equity.
- Fully remote, globally diverse workplace.
- Annual company gathering in a new city.
Skills
Python, LangChain, Retrieval-Augmented Generation, Llamaindex, LLMs, Natural Language Processing, Machine Learning, Llm Agents, TypeScript, React, Node.js, Prisma Orm, Temporal, Kubernetes, AWS
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