Cydcor

AI Product Engineer

Agoura Hills, California, USFull-time1 week agovia Jobs

Salary

-

Job type

Full-time

Location

Agoura Hills, California, US

Remote

No

Posted

1 week ago

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Job description

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

WHAT YOU BRING

  • 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.
  • 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
  • Comfortable working in ambiguity and driving projects forward independently
  • Strong communication and collaboration skills with both technical and non-technical stakeholders.

Benefits

WHY YOU'LL LOVE WORKING HERE

  • 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

ABOUT CYDCOR

Cydcor is a leader in outsourced sales, partnering with Fortune 500 and emerging companies to drive customer acquisition and growth. Recognized for our sales expertise and client results, Cydcor has become one of the most trusted names in the industry.

Cydcor will consider qualified candidates with criminal histories in a manner consistent with the law. This job description includes a summary of essential job functions and does not restrict management's right to assign other duties and responsibilities as required.

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

Qualifications

  • Full-Stack Engineering
  • 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)
  • Experience with vector databases (Pinecone, Weaviate, pgvector, or similar)
  • Solid DevOps fundamentals: CI/CD pipelines, environment management, observability, and production scaling
  • 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
  • Comfortable working in ambiguity and driving projects forward independently
  • Strong communication and collaboration skills with both technical and non-technical stakeholders

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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