Applied AI Developer at Klick1

We are hiring an Applied AI Developer to build production systems powered by Large Language Models. You will design and ship tools that automate internal workflows and support client-facing work. The role is backend-heavy: you will write Python, build agentic operations that chain model outputs together, and build the infrastructure around them. This is not an ML role. No model training, no fine-tuning, no weights. You work with existing generative AI services and the tools they expose. What You'll Do:  • Build and maintain AI-backed tools. Take a problem through scoping, implementation, deployment, and ongoing iteration. Projects vary in scale from single-purpose automations to larger pipelines that support multiple teams. • Own deployed work. Tools that people actually use, measured by real usage and outcomes. You care what happens after launch, not just whether it ran once. • Design agentic workflows. Chain LLM calls into pipelines rather than relying on one-shot prompts. Coordinate agent teams, handle asynchronous jobs, and build checkpoints for human review at the right points. • Plan for failure modes. AI systems need guardrails: validation against known data, human review gates, continuous monitoring, and fallbacks when models produce bad output. You think about reliability from the start, not as a patch after the fact. • Match the approach to the problem. Different tasks call for different models, different prompting styles, and different orchestration patterns. You form opinions from daily use and can justify your choices. • Ship quickly. Turn a working idea into a deployed system in days, not months. • Communicate across audiences. Write clearly for technical peers and non-technical stakeholders. Present work to internal teams and external audiences when needed