Applied AI Engineer (Full-Stack)

Applied AI Engineer (Full-Stack) at Pinecone (United States, onsite) blends full-stack development with practical AI engineering. You will build and ship end-to-end LLM-powered applications that use retrieval and knowledge infrastructure, helping deliver AI experiences that are accurate, fast, and cost-effective.

What Pinecone offers

• Comprehensive health coverage including medical, dental, vision, and mental health resources
• 401(k) Plan
• Equity award
• Flexible time off
• Paid parental leave
• Annual Company Retreat
• WFH Equipment Stipend
• Benefits and eligibility may vary by country of employment

Compensation Range: $190K - $270K

Responsibilities

• Design, build, and ship end-to-end AI applications using Pinecone’s retrieval and knowledge infrastructure
• Develop full-stack solutions across frontend interfaces, backend services, APIs, data pipelines, and LLM integration
• Create reference applications, integrations, and reusable components to help developers and customers adopt Pinecone
• Experiment with emerging AI patterns such as RAG, agents, tool use, context engineering, and agent memory
• Partner with customers, partners, and internal teams to translate real-world problems into working software
• Improve quality, reliability, latency, and cost of AI-powered applications
• Share technical insights and best practices through code, examples, and technical content
• Bring learnings back into Pinecone’s product and engineering teams

What you’ll need

• Strong software engineering background with experience designing, building, and shipping production applications
• Proficiency in Python and/or TypeScript, plus modern backend frameworks and frontend technologies such as React or Next.js
• Experience building APIs, integrating external services, and working with databases and cloud infrastructure
• Ability to take a project from rough requirements through implementation and deployment independently
• Hands-on experience building applications using LLMs, embeddings, vector databases, or retrieval-augmented generation
• Familiarity with modern AI development tools, frameworks, and APIs
• Understanding of practical AI application challenges including retrieval quality, evaluation, latency, reliability, and cost
• Curiosity about emerging patterns in agentic applications, context management, and AI-driven workflows
• A builder mindset with comfort writing code, experimenting, and delivering working software
• Comfort working with ambiguous requirements and making pragmatic technical decisions
• Ability to communicate technical ideas clearly to engineers, customers, and stakeholders
• Comfort moving from rapid prototypes to production-quality implementations
• Interest in understanding how developers and customers use the technology and feeding that feedback into better solutions

Technologies you’ll work with

Pinecone, Python, TypeScript, React, Next.js, LLMs, embeddings, vector databases, retrieval-augmented generation, RAG, agents, tool use, context engineering, agent memory, APIs, databases, cloud infrastructure

About Pinecone

Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform, including its Database, Nexus, and Marketplace products, powers accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone’s mission is to make AI knowledgeable.

Bonus points

• Experience with Pinecone or other vector databases and search technologies
• Experience building agentic applications, agent memory systems, or complex RAG pipelines
• Contributions to open-source projects, developer tools, or technical communities
• Experience working directly with customers on technical projects
• Experience deploying and operating AI applications in production