AI Ops Engineer

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
• (Desirable) Experience building AI agents or AI-powered automation tools
• (Desirable) Experience with frameworks such as Lang

  Chain, Llama

  Index, Lang

  Graph, or similar
• (Desirable) Side projects involving LLM applications or AI tooling
• (Desirable) Background in startup or fast-moving environments

What the job involves

• At Pelico, we believe the most productive companies of the future will be AI-native organizations — where internal teams use intelligent systems to automate repetitive work, accelerate decision-making, and move faster than ever
• We’re building an AI Ops team responsible for designing and deploying internal AI agents, automation tools, and AI-powered workflows that transform how Pelico operates across Sales, Operations, HR, Finance, and Customer teams
• As an AI Ops Engineer, you’ll work closely with Adam, Jasmijn and cross‑functional teams to build practical AI systems that solve real operational problems — from intelligent assistants and data pipelines to internal copilots and automation agents
• This role focuses on building and deploying AI‑powered tools, not training new models. You’ll use modern AI APIs, agent frameworks, and software engineering practices to deliver fast, practical solutions that improve productivity across the company
• This is a hands‑on builder role. You’ll prototype quickly, ship real tools used by internal teams, and continuously improve systems as they scale
• 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