AI Engineer
22 Oct 2025
San Francisco, CA, USA
Verified by Turrior
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
82 / 100
Offer value
High value role due to its importance in leveraging AI for data-driven insights, competitive environment, and demand for strong technical skills.
- Work on state-of-the-art AI projects
- High potential for career advancement
- Hybrid work environment with on-site expectations
- Requires expertise in machine learning and data handling
Pros
- Involvement in cutting-edge AI development.
- High growth potential in an innovative tech environment.
- Collaboration with cross-functional teams for impactful product delivery.
Cons
- Requires significant technical expertise and experience.
- Fast-paced startup culture may not suit everyone's style.
- Balancing multiple projects can be challenging.
Who it's for
Mid to Senior Level • Hybrid with on-site requirements
Good fit
- AI engineers or backend developers
- Candidates passionate about data and AI solutions
- Professionals seeking to innovate in tech
Not recommended for
- Entry-level candidates without AI experience
- Those averse to fast-changing environments
- Individuals who prefer structured job roles
Motivation fit
Desire to drive innovation through AI and data solutions.Interest in collaborating on impactful tech projects.Willingness to embrace challenges in a startup environment.
Key skills
Backend development in Python or GoAI system design and implementationData pipeline architectureCollaboration with product and design teams
Score: 82/100 AI verified analysis
About the job
About Ketch
Ketch powers responsible data use for millions of people every day across leading media, retail, technology, and financial companies. We’re built on a simple belief: data privacy is a fundamental human right. Protecting personal data in the AI era requires a platform that enables dynamic engagement with users, orchestration of data directives across the ecosystem, and intelligent action on AI-driven insights. With Ketch, businesses gain real-time visibility and control. The result is stronger trust between brands and consumers, grounded in integrity and respect for personal data.
Ketch is a well-funded Series B startup backed by top investors and led by a multi-exit leadership team. We’re passionate builders who continuously seek to understand our customers, collaborate on innovative solutions, and write the code to bring them to life.
Role Overview
As an AI Engineer at Ketch, you’ll design and build systems that help users interrogate, explore, and act on AI-driven insights about their data. You’ll architect and scale APIs and data pipelines that classify information and assess risk across massive datasets, documents, and enterprise systems. Blending backend engineering with applied AI, you’ll turn raw data into actionable intelligence, deliver it through fast, reliable services, and create feedback loops that continuously improve performance. You’ll partner with product, design, and customer teams to make advanced AI capabilities feel simple, transparent, and trustworthy within the Ketch platform.
This is a hybrid position based in our San Francisco HQ 3 days a week
Key Responsibilities:
- Architect and evolve agentic in-app experiences that enable users to interrogate, explore, and act on data classification insights.
- Develop scalable data classification pipelines that process documents, metadata, and records across systems using LLMs, embeddings, retrieval-augmented generation, and deterministic heuristics to accurately classify data and flag risks.
- Implement observability and feedback loops that monitor model performance, enable human-in-the-loop validation, and continuously improve accuracy over time.
- Develop APIs, services, and systems that extend and enhance our data privacy and permissioning platform.
- Collaborate with product management and customers to understand customer challenges and translate them into technical solutions.
- Ensure high code quality and maintain best practices in CI/CD, testing, and deployment pipelines.
What We’re Looking For
- Proven experience designing and scaling backend systems in Python or Go, building APIs and data pipelines with a strong foundation in system design, testing, CI/CD, and cloud deployment.
- Experience developing AI systems leveraging large language models, agentic frameworks (e.g., LangChain, PydanticAI), and RAG pipelines for context-grounded reasoning over enterprise data.
- Familiarity with prompt engineering, fine-tuning, and evaluation methods for improving real-world model performance.
- Experience instrumenting observability, tracking model metrics, and designing feedback loops for human-in-the-loop validation.
- Ability to collaborate with product, design, and frontend teams to translate AI capabilities into intuitive user experiences.
- Demonstrated ability to learn new technologies and apply them in practical contexts.
- A degree in Computer Science or a related field, or equivalent work experience.
