Applied AI Engineer
Anthropic · Sydney, Australia · Applied AI · listed June 5, 2026
The shape of it
Seniority
Senior
Experience asked
8+ years
Where
Hybrid
Requirements listed
8
Length
1,308 words
In the posting’s own words
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
What it asks for · 8
- 8+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer or Software Engineer 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
What the job covers
- 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
Tools and skills named
Models & research
- LLM8×
- Prompt engineering4×
Go to market
- Customer success2×
Languages
- Python2×
Ways of working
- Code review2×
Words the posting leans on
- customer20×
- technical16×
- product12×
- engineering8×
- frameworks8×
- implementation8×
- llm8×
- deployment6×
- development6×
- engineer6×
- experience6×
- agent4×
- api4×
- applications4×
- building4×
- common4×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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