AI Ops Engineer

Responsibilities

• Design and build internal AI agents that automate workflows across teams such as Sales, HR, Customer Operations, and Finance
• Develop AI-powered tools and assistants that help Pelico teams work faster and make better decisions
• Build end-to-end AI workflows connecting LLM APIs, internal data sources, and operational systems
• Develop backend services and APIs (Python, FastAPI or similar) to support AI-driven internal tools
• Prototype and iterate quickly, shipping small AI applications that solve real operational problems
• Integrate AI systems with internal tools such as Slack, Notion, CRM systems, or internal databases
• Improve and maintain existing AI systems, debugging workflows and optimizing performance when things break
• Collaborate with internal teams to identify opportunities for automation and AI augmentation
• Contribute to Pelico’s internal AI stack, helping define best practices for building and deploying AI-powered tools

Requirements

• 3-7 years of experience as a software engineer
• Strong programming skills in Python and exposure to TypeScript and basic frontend concepts, as you'll occasionally need to build or tweak the UIs for our internal tools.
• Experience building applications, APIs, or internal tools
• Comfortable integrating multiple systems and APIs
• Curious about AI tools, LLMs, and automation
• Experience experimenting with AI coding tools or AI development frameworks
• Able to move quickly and build practical solutions, rather than aiming for perfect systems
• Strong problem-solving skills and ability to work autonomously in a fast-paced startup environment
• Comfortable collaborating with non-technical stakeholders
• You actively embrace AI tools as part of how you work — curious about what’s possible and quick to adopt new ways of working smarter and faster
• Experience building internal productivity tools
• Nice to have
• Experience building AI agents or AI-powered automation tools
• Experience with frameworks such as Lang

  Chain, Llama

  Index, Lang

  Graph, or similar
• Side projects involving LLM applications or AI tooling
• Experience building internal productivity tools
• Background in startup or fast-moving environments