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AI Engineer

San Francisco

SpringCube

Full-time - Senior Engineer

IT Services & Consulting

Posted 4 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

An innovative technology organization is building an autonomous AI agent purpose-built for influencer marketing. The solution is designed to move from campaign objectives to influencer activation with minimal human intervention.

The organization has developed proprietary data covering thousands of influencers and the factors that contribute to viral content. Its technology is already being used in production to support major entertainment and music companies and drive significant revenue.

The company is focused on defining a new category of AI-powered social media technology by combining proprietary data, direct influencer relationships, advanced AI agents, and scalable technology infrastructure.

About the Role

The organization is seeking an AI Engineer to help build and scale an autonomous AI system for influencer marketing. The role is suited to a technically strong, AI-native engineer who enjoys building multi-agent systems, experimenting with emerging technologies, and taking products from design through deployment.

The successful candidate will work across AI architecture, full-stack development, API orchestration, scalable infrastructure, and product development. This is an early-stage environment where engineers are expected to take end-to-end ownership and contribute across multiple areas of the technology stack.

Your Skillset

  • Solid experience designing multi-AI-agent architectures with memory, tool use, and feedback loops using LangChain, CrewAI, or custom orchestration.
  • Experience working with large language models such as OpenAI, Anthropic, Gemini, and similar technologies.
  • Expertise in full-stack development using Node.js and Next.js.
  • Strong proficiency in Python is a plus.
  • Ability to reason about API orchestration, error handling, and integration complexity.
  • Experience building Retrieval-Augmented Generation (RAG) systems.
  • Experience building and integrating REST APIs in Node.js.
  • Hands-on experience using AI-powered IDE tools such as Cursor.
  • Experience properly applying LLMs across different components of a larger software system.
  • Deep understanding of selecting the appropriate AI models for different use cases.
  • Experience creating and using embeddings.
  • Strong understanding of API architecture, performance tuning, and SQL database optimization.
  • Technical leadership experience spanning system design through deployment.
  • Strong code quality standards, including automation, testing, code reviews, and end-to-end ownership.
  • Effective communication skills across product, design, and business functions.
  • Familiarity with cloud infrastructure such as AWS and GCP.
  • Experience with container technologies such as Docker and Kubernetes.
  • Knowledge of social media platforms, particularly TikTok, from both technical and consumer perspectives.
  • Previous experience with video content classification, embeddings, or tagging.

The Ideal Candidate

The ideal candidate is an AI-native builder who enjoys automating, experimenting, and shipping quickly while maintaining high technical standards.

  • Brings a generalist mindset and is curious, versatile, hands-on, and comfortable working across the technology stack.
  • Moves quickly while maintaining precision and high standards.
  • Thrives in early-stage startup environments where responsibilities are broad and nothing is considered someone else’s job.
  • Views ambiguity as an opportunity to lead, experiment, and learn.
  • Thinks like a product builder rather than focusing solely on writing code.
  • Understands how AI can improve user experiences and business outcomes.
  • Is passionate about pushing the boundaries of AI and scalable systems.
  • Takes ownership from initial design through production deployment and ongoing improvement.

Why This Opportunity Matters

The organization is focused on building a category-defining AI agent for social media and influencer marketing at a time when autonomous AI systems are rapidly transforming knowledge work.

The role offers an opportunity to work with production AI systems, proprietary data, advanced agent architectures, and large-scale influencer marketing workflows while contributing directly to the development of a new AI-driven business category.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.
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