Sr. AI Automation Engineer

Identify high-friction workflows and replace them with AI-driven automation  systems 

Design, build, and deploy AI agents and automation pipelines across business  functions 

Redesign workflows to transition from human-assisted to fully automated  execution where viable 

Integrate AI systems with internal platforms such as CRM, analytics, and support  tools 

Develop RAG-based knowledge systems and internal copilots to improve access to  information 

Rapidly prototype, test, and deploy production-grade AI solutions 

Define KPIs and measure the impact of automation and AI initiatives 

Optimize systems for performance, cost efficiency, and scalability

Bachelor’s degree in computer science, engineering, or related field, or equivalent  practical experience 

5+ years of experience deploying AI/ML systems in production environments 

Strong experience with LLMs, RAG architectures, vector databases, and agent  frameworks 

Proficiency in Python or similar programming languages and strong software  engineering fundamentals (APIs, system design, scalability) 

Experience integrating AI systems into enterprise tools and workflows 

Familiarity with automation/orchestration tools and evaluation frameworks 

Strong analytical and problem-solving skills with a metrics-driven mindset 

Ability to operate with high execution velocity from prototype to production