Applied AI Engineer
Sydney, Australia
Posted 16h ago
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
As a member of the Applied AI team, you will be a technical Product Engineer focused on becoming a trusted technical advisor to customers as they adopt Claude. You will work closely with customer product and engineering teams as they ship new products powered by Claude, advising on architecture design decisions, developing evaluation frameworks, and guiding customers through cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from technical discovery through successful deployment, combining deep engineering expertise with customer-facing skills to help them understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining high standards for safety and reliability.
Responsibilities
- Serve as a technical advisor to customers deploying new products and workflows with Anthropic's models, driving customer success from discovery through deployment.
- Partner with account executives to understand customer product requirements and architect technical solutions aligned with business objectives.
- Guide technical architecture decisions and assist customers in building state-of-the-art products and workflows with LLMs via API.
- Develop customized pilots, prototypes, and evaluation suites to demonstrate the value of Anthropic's models for customer products and workflows.
- Lead hands-on technical workshops and code reviews with customer engineering teams.
- Identify common design patterns and contribute insights to Anthropic's Product and Engineering teams.
- Maintain strong knowledge of LLM capabilities, implementation patterns, and AI product development stacks.
- Travel occasionally to customer sites for workshops, implementation support, and relationship building.
- Attend conferences, lead speaking engagements, and contribute to blog posts and white papers on AI topics.
Requirements
- 8+ years of experience in technical roles such as Customer Engineer, Forward Deployed Engineer, or Software Engineer with a customer-facing focus.
- Production experience with LLMs, including advanced prompt engineering, agent development, evaluation frameworks, and large-scale deployment.
- Strong programming skills with proficiency in Python and experience building production applications.
- Expertise in 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 with a low ego and collaborative approach.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.