Applied AI Engineer (Full-Stack)

Posted 4 Hours Ago
Hiring Remotely in New York City, NY, USA
Remote or Hybrid
190K-270K Annually
Entry level
Artificial Intelligence
Pinecone, who pioneered the vector database category, is helping advance and scale AI solutions for a better future.
The Role
Build and ship end-to-end AI applications across frontend, backend, APIs, data pipelines, retrieval systems, and LLM integrations. Develop reference applications and reusable components, experiment with RAG and agentic architectures, and improve AI application quality, latency, reliability, and cost. Collaborate with customers, partners, product, and engineering teams while translating real-world problems into production software and sharing technical best practices.
Summary Generated by Built In
About Pinecone

Pinecone 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. Pinecone'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 Pinecone'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 Pinecone’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 Pinecone.

  • 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 Pinecone’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 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.

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.

Skills Required

  • Strong software engineering background designing, building, and shipping production applications
  • Proficiency in Python and/or TypeScript
  • Experience with 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 projects from rough requirements through implementation and deployment
  • 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 retrieval quality, evaluation, latency, reliability, and cost challenges in AI applications
  • Ability to communicate technical ideas clearly with engineers, customers, and stakeholders
  • 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
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The Company
HQ: Chicago, IL
125 Employees
Year Founded: 2019

What We Do

Pinecone stands as a leader in the AI industry, dedicated to transforming artificial intelligence and tackling its most pressing challenges head-on. Our mission revolves around augmenting the capabilities of AI models, addressing the issue of AI hallucinations, and ensuring the delivery of accurate and dependable results. Pinecone specializes in vector database technology, a groundbreaking innovation that has reshaped data management for AI applications. Our vector database solutions are designed to help eliminate AI hallucinations, making AI outputs reliable and trustworthy. Moreover, Pinecone's technology streamlines data retrieval, minimizes memory overhead, and optimizes AI operations, crucial for the growing demand for Generative AI (GenAI). With strategic partnerships with industry giants like OpenAI, Google Cloud Platform, AWS, and others, Pinecone plays a central role in advancing the AI landscape. Beyond technology, we foster knowledge sharing through events and educational initiatives, empowering AI engineers and leaders with actionable insights. Pinecone is not just transforming AI; we are helping pave the way for a more dependable and scalable AI future.

Why Work With Us

At Pinecone, our culture emphasizes camaraderie, collaboration, and inclusivity. Deeply rooted in our DNA, we prioritize these values. In the dynamic ML/AI realm, we strive for top engineering solutions, while ensuring a shift to AI that aligns with genuine human values.

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