AI Engineer
Indexed description
Key Responsibilities:
- Develop and optimize AI applications based on LLMs and multimodal foundation models, with strong understanding of model quality, latency, and cost trade-offs
- Design and improve prompt engineering and context engineering workflows, including AI evaluation, debugging, and tuning for real-world product scenarios
- Build and improve AI agent systems with capabilities such as memory management, context management, and tool usage for production AI applications
- Master's degree in CS, AI, ML, CV, NLP, or a related field; or Bachelor's degree with 2+ years of industry experience in related areas
- Hands-on experience with LLM APIs and modern foundation models, with solid understanding of model trade-offs across quality, latency, scalability, and cost efficiency in real-world AI applications
- Strong understanding of prompt engineering, context engineering, AI agent architectures, memory and context management, and tool-calling workflows, with the ability to independently perform AI system evaluation, debugging, tuning, and optimization
- Experience building and deploying AI agent systems, including tool-use agents, workflow automation agents, and multimodal AI applications in production environments
- Familiarity with modern AI frameworks and ecosystems such as LangChain, OpenAI API, Anthropic API, Gemini API, vector databases, RAG pipelines, and agent orchestration frameworks
- Strong problem-solving and communication skills, with the ability to rapidly prototype, iterate, and collaborate across research, engineering, and product teams in a fast-paced AI development environment
The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.
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