AI Solutions Builder

WHY YOU SHOULD JOIN OUR TEAM

You'll join a small, high-impact team within the Office of the CEO, working directly with the executive and leadership teams to build the AI-powered tools and knowledge systems that shape how Smartcat operates and makes decisions. This is a high-ownership, high-autonomy seat — you don't need to be a software engineer, but you'll need real curiosity, basic coding ability, and genuine "vibe coding" experience to move fast in a fast-moving, ambiguous environment.

MISSION

Build AI-powered tools and knowledge systems that improve how Smartcat operates and makes decisions — translating ambiguous business problems into scalable, AI-enabled solutions, and helping drive AI adoption and AI-first thinking across the organization.

OUTCOMES

• Build and optimize AI-powered internal tools for sales pipeline analysis and customer intelligence, internal knowledge management, operational reporting and business insights, and executive decision support
• Work with structured and unstructured data — including vector databases, MCP, and RAG — to power internal systems
• Build and maintain AI agents that combine semantic and keyword search across internal knowledge bases, meeting transcripts, and CRM data
• Manage infrastructure for AI services, with support from DevOps
• Translate ambiguous business problems into scalable, AI-enabled solutions, driving projects end-to-end

HOW YOU'LL RAMP

By Day 30:

• Get up to speed on Smartcat's internal systems, data sources (CRM, meeting transcripts, knowledge bases), and existing AI tooling
• Meet with the executive and leadership team to understand current decision-support and reporting pain points
• Get hands-on with the AI coding tools, infrastructure, and cloud environment (AWS/GCP) already in use

By Day 60:

• Ship a first AI-powered internal tool or agent addressing a real business need (e.g., knowledge search, reporting, or pipeline analysis)
• Be working independently with structured and unstructured data, including vector databases and RAG pipelines
• Start managing AI service infrastructure with DevOps support

By Day 90:

• Have multiple AI-powered tools or agents in active use by the executive/leadership team
• Be independently translating ambiguous business problems into scoped, shippable AI solutions
• Be actively helping drive AI adoption and AI-first thinking more broadly across the organization

WHAT YOU'VE ACCOMPLISHED

• A strong track record of curiosity-driven learning in AI, automation, and emerging technologies
• Familiarity with AI coding tools such as Claude, Cursor, Cline, or similar, including real "vibe coding" experience
• Basic coding skills in Python, or a demonstrated ability to learn technical skills quickly
• Comfort with the command line, basic Linux administration, and cloud infrastructure (AWS/GCP)
• A proven ability to drive projects end-to-end in ambiguous, fast-moving environments
• Strong communication and collaboration skills, with the ability to turn business needs into practical AI tools
• English and Russian proficiency