d) at Contentful

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

7+ years of experience in software engineering, with a focus on building and maintaining internal-facing software
Proven track record of developing in Python or JavaScript/Typescript, with working knowledge of the other
Hands-on experience creating automation workflows, scripting, lightweight data pipelines, or using low-code platforms
Evidence of partnering with cross-functional stakeholders, with the ability to translate technical solutions into business impact (e.g., presenting to non-technical teams)
Demonstrated ability to design and launch software that integrates multiple tools, improves workflows, automates processes, and delivers measurable outcomes (e.g., productivity gains, time savings, or adoption metrics)
Practical experience with integrating OpenAI, Claude, or Google Vertex AI into workflows and automation, either through prompt engineering, fine-tuning, or implementing Retrieval-Augmented Generation (desirable)
Experience working with text processing, NLP frameworks, or unstructured data pipelines (e.g., NLTK, spaCy, Hugging Face) (desirable)
Demonstrated involvement in aligning technical solutions with AI policy or internal governance standards (e.g., drafting model usage guidelines, running risk assessments, or contributing to responsible AI initiatives) (desirable)
Experience working with security teams to ensure AI-powered tools meet organizational security, privacy, and compliance requirements (e.g., access controls, secure deployment reviews, or data handling policies) (desirable)
Background in building tools or systems for B2B SaaS or enterprise environments (desirable)
Evidence of rapidly prototyping and iterating on tools or workflows, with examples of evolving prototypes into production-ready solutions (desirable)

Responsibilities

Design and implement AI-powered tools and workflows that automate repetitive tasks, improve accuracy, and expand team capacity
Write code and build internal solutions that leverage LLMs and agentic frameworks to address specific business challenges
Collaborate with teams across the business to understand needs, define requirements, and co-develop scalable solutions
Research and assess AI tools and platforms (e.g., OpenAI, Claude, Google Vertex AI), ensuring alignment with company standards around privacy, security, and usability
Rapidly prototype and test new AI-powered use cases with internal stakeholders, iterating based on feedback
Act as a subject matter expert on applied AI, educating teams on capabilities, tools, and responsible use
Monitor the performance and adoption of AI-powered tools, and continuously improve them based on data and user feedback

Skills

Key technologies and capabilities for this role

PythonAILLMsagentic frameworksOpenAIClaudeGoogle Vertex AIsoftware engineeringprototypingautomation

Questions & Answers

Common questions about this position

What experience level is required for this Senior AI Applied Engineer role?

The role requires 7+ years of experience in software engineering, with a focus on building and maintaining internal-facing software.

What programming languages are needed for this position?

A proven track record of developing in Python or JavaScript/Typescript is required, with working knowledge of the other.

What collaboration skills are essential for success in this role?

Evidence of partnering with cross-functional stakeholders is critical, along with the ability to translate technical solutions into business impact, such as presenting to non-technical teams.

Is the salary or compensation specified for this position?

This information is not specified in the job description.

What makes a strong candidate for this Senior AI Applied Engineer role?

Strong candidates demonstrate high-impact engineering with measurable outcomes like productivity gains, hands-on automation experience, and desirable skills in applied AI such as integrating OpenAI or implementing Retrieval-Augmented Generation.

Contentful

Digital content management platform for businesses

About Contentful

Contentful offers a platform for digital content management that enables businesses to create, manage, and deliver content without coding. Its content management system (CMS) is designed for teams to streamline their content production and maintain a consistent experience across various brands and channels. Unlike competitors, Contentful operates on a freemium model, providing free access to basic features while charging for advanced capabilities. The company's goal is to empower businesses to effectively manage their digital content at scale.

Berlin, GermanyHeadquarters

2013Year Founded

$324.4MTotal Funding

SERIES_FCompany Stage

Consumer Software, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Health Insurance

Stock Options

Fertility Treatment Support

Unlimited Paid Time Off

Parental Leave

Professional Development Budget

Wellness Program

Phone/Internet Stipend

Home Office Stipend

Risks

Emerging CMS platforms with lower costs threaten Contentful's market share.

Integration challenges from the Ninetailed acquisition could disrupt operations.

The freemium model may limit revenue growth if users don't convert to paid plans.

Differentiation

Contentful offers a composable content platform for digital-first businesses.

The platform integrates seamlessly with hundreds of tools through open APIs.

Contentful's CMS allows content management without needing to write code.

Upsides

Contentful's acquisition of Ninetailed enhances its AI-driven content personalization capabilities.

Partnerships with Vercel and SAP expand Contentful's integration and market reach.

The rise of generative AI tools presents opportunities for Contentful's platform enhancement.

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