
1 - 10 employees
🎯 Recruiter
👥 HR Tech
🤖 Artificial Intelligence
Recruitment • HR Tech • Artificial Intelligence
Rockstar is a full-service recruitment company that leverages a blend of human expertise and artificial intelligence to help businesses hire better and faster at a lower cost. They offer a comprehensive recruitment service for less than $1,500 per role by providing access to a large talent database, fast and efficient candidate reviews, and human screening. Their proprietary AI enables the review of thousands of applications to quickly match candidates to job descriptions, while custom screening calls are conducted by recruiters in the US, UK, or Australia. Rockstar supports hiring across a wide range of professional roles, including sales, marketing, strategy, product, business operations, analytics, data science, software development, infrastructure, finance, and accounting. This flexible approach allows companies to meet strong candidates without long-term commitments, making it a cost-effective solution for teams of all sizes.
🔥 0 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
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1 - 10 employees
🎯 Recruiter
👥 HR Tech
🤖 Artificial Intelligence
Recruitment • HR Tech • Artificial Intelligence
Rockstar is a full-service recruitment company that leverages a blend of human expertise and artificial intelligence to help businesses hire better and faster at a lower cost. They offer a comprehensive recruitment service for less than $1,500 per role by providing access to a large talent database, fast and efficient candidate reviews, and human screening. Their proprietary AI enables the review of thousands of applications to quickly match candidates to job descriptions, while custom screening calls are conducted by recruiters in the US, UK, or Australia. Rockstar supports hiring across a wide range of professional roles, including sales, marketing, strategy, product, business operations, analytics, data science, software development, infrastructure, finance, and accounting. This flexible approach allows companies to meet strong candidates without long-term commitments, making it a cost-effective solution for teams of all sizes.
• Design and deploy AI-powered workflows and automation across internal systems • Integrate LLM APIs (OpenAI, Anthropic, etc.) into operational platforms and internal tooling, with examples including: • - Airtable Scripting & AI Automation • - Microsoft 365 / Power Platform AI Enhancements • - Custom Agent & RAG Pipeline Development • Build and maintain custom AI agents, automation pipelines, and retrieval-augmented generation (RAG) systems • Own the bridge between AI capabilities and the existing technology stack • Evaluate and prototype emerging AI tools for business relevance and operational fit • Collaborate with operations, sales, and leadership teams to identify and prioritize AI opportunities • Contribute to platform development features and maintain clean, well-documented code • Translate AI capabilities for non-technical stakeholders and gather real requirements from business teams • Maintain a running roadmap of AI enhancements tied to business goals and project timelines • Consistently exemplify established best practices, serving as the internal subject matter expert on applied AI • Provide team or company-wide AI training and education where applicable. • Create & manage technical documentation for all AI systems, integrations, and workflows.
• AI-Native Mindset: Deep familiarity with LLMs, prompt engineering, agents, tool use, and AI orchestration frameworks (LangChain, LlamaIndex, CrewAI, etc.) • Solid Development Foundation: Proficiency in Python and/or JavaScript. Comfortable building APIs, working with databases, and deploying to cloud environments as well as front end experience. Node JS, React. • Integration Experience: Track record connecting disparate systems via APIs, webhooks, or middleware. Experience with Airtable, Zapier, Make, or similar platforms is a plus • Platform Sensibility: Understands how internal tools and operational platforms are built and scaled. Can contribute to product thinking, not just feature execution • Cross-Functional Communicator: Can translate AI concepts for non-technical stakeholders and gather real requirements from business teams
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