Product Engineer, Applied AI
Seoul, South KoreaFull-TimeMid-levelAI / Data Science
About Anthropic
- Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
- Serve as a technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
- Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation
- Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API
- Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API
- Lead hands-on technical workshops and code reviews with customer engineering teams
- Identify common design patterns and contribute insights back to our Product and Engineering teams
- Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
- Travel occasionally to customer sites for workshops, implementation support, and building relationships
- Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space
You may be a good fit if you have:
- 4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers
- Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale
- Strong programming skills with proficiency in Python and experience building production applications
- Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.
- Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
- High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
- Passion for advancing safe, beneficial AI systems through creative technical applications
- Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
How we're different
- We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
- The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
