AI Product Engineer (Full-Stack/ Prototyping Focus)
About The Position
AI Product Engineer (Full-Stack/ Prototyping Focus) WHAT YOU'LL GET TO DO Architect AI Tools Lead the end-to-end design and development of AI-powered internal applications that improve operational efficiency across departments. Translate complex, ambiguous business needs into scalable, maintainable systems used daily by internal teams. Build modular architectures that connect data ingestion, AI processing pipelines, and front-end interfaces LLM & AI Integration Architect and implement LLM-powered features using advanced patterns including: RAG pipelines, multi-agent orchestration, function calling, embeddings, and more Evaluate emerging AI frameworks and make sound decisions about when and how to adopt them Ensure AI systems are reliable, observable, and built with responsible practices in mind. Full-Stack Engineering Design and maintain production-grade REST/GraphQL APIs and front-end experiences using JavaScript/TypeScript and modern frameworks Own database architecture and performance: PostgreSQL/Supabase, SQL tuning, caching strategies, and vector stores (Pinecone, pgvector, or similar) Manage deployments, observability, and scaling across cloud/serverless infrastructure (Vercel, AWS Lambda, or similar) Technical Leadership Set engineering standards and mentor teammates on best practices, architecture decisions, and AI integration patterns Lead code reviews and contribute to a culture of quality, speed, and continuous improvement Partner with product leadership to prototype, validate, and scale AI- driven tools.
Requirements
- Significant hands-on work in AI/LLM integration
- Deep proficiency in JavaScript/TypeScript and at least one backend framework (Node.js, FastAPI, or Next.js)
- Proven experience architecting and shipping LLM-powered systems (RAG, embeddings, multi-agent orchestration, function calling)
- Strong command of relational databases, query optimization, and caching strategies (PostgreSQL preferred)
- Experience with vector databases (Pinecone, Weaviate, pgvector, or similar)
- Solid DevOps fundamentals: CI/CD pipelines, environment management, observability, and production scaling.
- Comfortable working in ambiguity and driving projects forward independently
- Strong communication and collaboration skills with both technical and non-technical stakeholders.
Nice To Haves
- Familiarity with TypeScript + tRPC, Next.js App Router, or Drizzle ORM
- Experience using Claude Code or Cursor for AI-assisted development workflows
- Prior experience building internal tooling or automation platforms at scale
- Background working in a high-growth or startup-style environment
Responsibilities
- Lead the end-to-end design and development of AI-powered internal applications that improve operational efficiency across departments.
- Translate complex, ambiguous business needs into scalable, maintainable systems used daily by internal teams.
- Build modular architectures that connect data ingestion, AI processing pipelines, and front-end interfaces
- Architect and implement LLM-powered features using advanced patterns including: RAG pipelines, multi-agent orchestration, function calling, embeddings, and more
- Evaluate emerging AI frameworks and make sound decisions about when and how to adopt them
- Ensure AI systems are reliable, observable, and built with responsible practices in mind.
- Design and maintain production-grade REST/GraphQL APIs and front-end experiences using JavaScript/TypeScript and modern frameworks
- Own database architecture and performance: PostgreSQL/Supabase, SQL tuning, caching strategies, and vector stores (Pinecone, pgvector, or similar)
- Manage deployments, observability, and scaling across cloud/serverless infrastructure (Vercel, AWS Lambda, or similar)
- Set engineering standards and mentor teammates on best practices, architecture decisions, and AI integration patterns
- Lead code reviews and contribute to a culture of quality, speed, and continuous improvement
- Partner with product leadership to prototype, validate, and scale AI- driven tools.
Benefits
- Competitive compensation with bonus potential
- Hybrid flexibility: Fridays remote
- Medical, Dental, and Vision insurance
- 401(k) with company match
- Generous PTO and paid holidays
- High ownership and visibility — your architectural decisions will shape how Cydcor uses AI for years to come
- A culture that values innovation, autonomy, and impact
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
