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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building end-to-end AI applications, with a strong focus on full-stack development, including proficiency in Python and TypeScript. Capable of integrating LLMs and vector databases while ensuring high-quality, reliable, and cost-effective AI solutions.
Highest-signal resume keywords
Python ProficiencyTypeScript ProficiencyFull-Stack DevelopmentAPI DevelopmentExperience with LLMs
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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 RAG, agents, tool use, context engineering, and agent memory
- Work with customers, partners, and internal teams to translate real-world problems 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 application-building learnings back into Pinecone’s product and engineering teams
Requirements
What you’ll need- Strong software engineering background with experience 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 a project 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
- Experience with Pinecone or other vector databases and search technologies is a bonus
- Experience building agentic applications, agent memory systems, or complex RAG pipelines is a bonus
- Contributions to open-source projects, developer tools, or technical communities are a bonus
- Experience working directly with customers on technical projects is a bonus
- Experience deploying and operating AI applications in production is a bonus
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringApplication DevelopmentBackend FrameworksFrontend TechnologiesDatabase IntegrationCloud InfrastructureBuilding APIsRAG PipelinesAgent Memory SystemsVector Databases
Soft Skills
Problem-SolvingCollaborationCommunication
Tools & Technologies
PineconeReactNext.jsAI Development ToolsTechnical Content Creation
Industry Keywords
AI ApplicationsRetrieval-Augmented GenerationApplication Quality EvaluationLatency ChallengesReliability Challenges