Applied AI Engineer (Full-Stack)

Pinecone; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health coverage

401(k) plan

Equity award

Flexible time off

Paid parental leave

Annual company retreat

WFH equipment stipend

Job summary

Pinecone is seeking an Applied AI Engineer to build real AI-powered applications across the stack, from backend services and retrieval pipelines to APIs and user interfaces. You will own projects from idea to production, collaborating with engineering, product, customers, and partners to explore new use cases and demonstrate Pinecone’s technology.

The role combines strong software engineering with practical experience in LLM-powered systems, agentic workflows, and production-quality prototypes,

Qualifications

• Experience building production-ready AI applications.
• Strong full-stack engineering skills with LLM experience.
• Ability to design and implement retrieval pipelines and APIs.

Responsibilities

• Design, build, and ship end-to-end AI applications using retrieval and knowledge infrastructure.
• Develop full-stack solutions spanning frontend interfaces, backend services, APIs, data pipelines, and LLM integration.
• Experiment with patterns like RAG, agents, tool use, and context engineering.
• Work with customers, partners, and internal teams to translate problems into software.
• Evaluate and improve quality, latency, and cost of AI-powered apps.

Skills

Python

TypeScript

LLM-powered apps

Full-stack development

APIs

Retrieval pipelines

Agentic systems

Tools

React

Next.js

Vector databases

Cloud infra

Job description

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

About the Team and Role

We're looking for an Applied AI Engineer who loves building real applications with AI. You'll work across the stack, from backend services and retrieval pipelines to APIs and user-facing applications, turning new AI capabilities into working solutions.

This is a hands-on engineering role for someone who enjoys moving quickly, experimenting with emerging technologies, and owning projects from initial idea to production.

You’ll work closely with our engineering and product teams, as well as customers and partners, to explore new use cases, build reference applications, and demonstrate what's possible with the company's technology.

The ideal candidate combines strong full-stack engineering skills with practical experience building LLM-powered applications and agentic systems. You should be equally comfortable discussing architecture, writing production code, and putting together a working prototype.

Responsibilities

Design, build, and ship end-to-end AI applications using the company’s retrieval and knowledge infrastructure.

• Develop full-stack solutions spanning frontend interfaces, backend services, APIs, data pipelines, and LLM integration.

• Build reference applications, integrations, and reusable components that help developers and customers adopt the company.

• Experiment with emerging AI patterns, including RAG, agents, tool use, context engineering, and agent memory.

• Work with customers, partners, and internal teams to understand real-world problems and translate them into working software.

• Evaluate and improve the quality, reliability, latency, and cost of AI-powered applications.

• Share technical insights and best practices through code, examples, and technical content.

• Bring learnings from building applications back into the company’s product and engineering teams.

What You’ll Bring to the Table

You don't need to check every box, but you should enjoy building software and be excited about what AI makes possible.

Full-Stack Engineering

Strong software engineering background with experience designing, building, and shipping production applications.

• Proficiency in Python and/or TypeScript, including 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 independently take a project from rough requirements through implementation and deployment.

Applied AI

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 the practical challenges of building AI applications, including retrieval quality, evaluation, latency, reliability, and cost.

• Curiosity about emerging patterns in agentic applications, context management, and AI-driven workflows.

Ownership & Collaboration

A builder's mindset: you enjoy writing code, experimenting, and getting working software into users’ hands.

• Comfortable working with ambiguous requirements and making pragmatic technical decisions.

• Ability to communicate technical ideas clearly to engineers, customers, and other stakeholders.

• Comfortable moving between rapid prototypes and production-quality implementations.

• Interest in understanding how developers and customers use the technology and translating that feedback into better solutions.

Bonus Points

Experience with the company 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.

Perks & Benefits

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.