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Applied AI Engineer (Enterprise Tech)

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Onsite

Applied AI Engineer (Enterprise Tech)

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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