A
Anthropic
Applied AI Engineer (Enterprise Tech)
Skills
TypescriptPythonProduct StrategyAIProduct Manager
2 months ago
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Important information
Contract type:
Permanent
Salary:
$200,000 – $300,000 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
8 August 2026
What they need
- As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products
- 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 the most cutting-edge implementation patterns for LLMs
- Working closely with our Sales, Product, and Engineering teams, you’ll guide a focused portfolio of customers from technical discovery through successful deployment. You’ll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability
- Serve as a specialist 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 and solutions architects to translate customer business requirements into technical solutions
- Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
- 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
- Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques
- 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
Benefits
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- 22 weeks of paid parental leave
- Flexible paid time off and absence policies
- Mental health support for you and your dependents
- Competitive salary and equity packages
- Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
- Retirement plans with competitive matching
- Life and income protection plans
- $500/month flexible wellness and time saver stipend
- Commuter benefits
- Annual education stipend
- Home office stipends
- Relocation support for those moving for Anthropic
- Daily meals and snacks in the office- Education requirements: We require at least a Bachelor’s degree in a related field or equivalent experience
- 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
- Passion for advancing safe, beneficial AI systems through creative technical applications
- Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
- High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
- Strong programming skills with proficiency in Python or TypeScript and experience building production applications
- 4+ years of experience in technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply
- Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
- Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach- Deadline to apply: None. Applications will be reviewed on a rolling basis
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