Applied AI Engineer (Full-Stack)
$190k - $270k • Remote • New York City • FullTime
Posted 7h ago
Job Location
New York City
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Engineer
About the job
We are seeking an Applied AI Engineer to build real-world AI applications, working across the full stack from backend services and retrieval pipelines to APIs and user-facing applications. This hands-on role is for someone who enjoys rapid experimentation with emerging technologies and taking ownership of projects from concept to production. You will collaborate closely with engineering and product teams, as well as customers and partners, to explore new use cases, develop reference applications, and showcase the capabilities of Pinecone's technology. The ideal candidate possesses strong full-stack engineering skills combined with practical experience in LLM-powered applications and agentic systems, comfortable with architecture discussions, production code, and prototyping.
Responsibilities
- Design, build, and ship end-to-end AI applications using retrieval and knowledge infrastructure.
- Develop full-stack solutions including frontend, backend services, APIs, data pipelines, and LLM integration.
- Build reference applications, integrations, and reusable components for developer and customer adoption.
- Experiment with emerging AI patterns such as RAG, agents, tool use, context engineering, and agent memory.
- Collaborate with customers, partners, and internal teams to understand problems and translate them into 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.
- Incorporate learnings from application development back into product and engineering teams.
Requirements
- 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 like React or Next.js.
- Experience building APIs, integrating external services, and working with databases and cloud infrastructure.
- Ability to independently take a project from requirements through implementation and deployment.
- Hands-on experience building applications using LLMs, embeddings, vector databases, or RAG.
- Familiarity with modern AI development tools, frameworks, and APIs.
- Understanding of practical challenges in building AI applications (retrieval quality, evaluation, latency, reliability, cost).
- Curiosity about emerging patterns in agentic applications, context management, and AI-driven workflows.
- Builder's mindset with enjoyment in writing code, experimenting, and delivering working software.
- Comfort working with ambiguous requirements and making pragmatic technical decisions.
- Ability to communicate technical ideas clearly to diverse stakeholders.
- Comfort moving between rapid prototypes and production-quality implementations.
- Interest in understanding user adoption and translating feedback into better solutions.
- Experience with Pinecone or other vector databases and search technologies (bonus).
- Experience building agentic applications, agent memory systems, or complex RAG pipelines (bonus).
- Contributions to open-source projects, developer tools, or technical communities (bonus).
- Experience working directly with customers on technical projects (bonus).
- Experience deploying and operating AI applications in production (bonus).
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