Partner with leaders across all departments to identify workflows that are candidates for AI augmentation or automation
Evaluate opportunities based on effort, impact, and feasibility; maintain a prioritized backlog of AI enablement initiatives
Conduct rapid prototyping and proof-of-concept work to validate approaches before committing to full implementation
Build and deploy agentic AI systems, including LLM-powered assistants, automated pipelines, and intelligent tooling
Integrate AI capabilities into existing business systems (CRM, ticketing, internal tools, data platforms)
Design robust, production-grade solutions with appropriate error handling, monitoring, and fallback mechanisms
Implement retrieval-augmented generation (RAG) systems, prompt engineering frameworks, and tool-use architectures
Serve as the primary technical resource for AI adoption across non-engineering teams
Translate business requirements into technical specifications and deliver working solutions
Train and support internal teams on AI tools and workflows
Document patterns, best practices, and architectural decisions for reuse across the organization
Evaluate and recommend AI platforms, APIs, and frameworks (e.g., OpenAI, Anthropic, open-source models)
Establish standards for responsible AI use, including data privacy, security, and governance
Monitor the rapidly evolving AI landscape and advise leadership on relevant developments
Contribute to Seerist's broader AI and platform strategy in partnership with the CTO

5+ years of professional software engineering experience
Demonstrated experience building and deploying LLM-based applications in production
Strong proficiency in Python; familiarity with JavaScript/TypeScript
Experience with cloud infrastructure (AWS preferred), including serverless architectures and data pipelines
Working knowledge of vector databases, embedding models, and RAG patterns
Ability to work independently across organizational boundaries with minimal direction
Excellent written and verbal communication skills; comfortable presenting to technical and non-technical audiences.

AI Enablement Engineer

Key skills