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.Required:3+ years of experience building backend applications or internal tools in Python,



including API integrations, state handling, and maintainable service design.Hands‑on experience integrating LLM APIs into an application, product, or internal tool, with evidence of shipping multi-step AI workflows beyond one-shot prompting.Demonstrated experience evaluating AI output quality using methods such as blind testing, LLM‑as‑judge scoring, hallucination checks, or structured human review in a production or pilot setting.Experience designing modular systems with clear inputs, outputs, and reusable components, supported by examples of deployed tools, automation pipelines, or shared internal services.Ability to explain technical decisions to both technical and non-technical audiences, including presenting recommendations, tradeoffs, or results to internal stakeholders.Desired:Comfort and enthusiasm for using AI as a regular part of how work gets done.Experience working with multiple LLM providers, including Anthropic, OpenAI, and Google Vertex AI / Gemini, with transparent examples of when and why different models were selected.Experience deploying applications or services in Google Cloud or AWS, including production, staging, or internal-use environments.Portfolio of AI projects, personal or professional, that demonstrates agentic workflows, tool-building, evaluation discipline, or applied product development.Exposure to healthcare or pharma environments, including regulated, scientific, or complex domain contexts, is considered an asset.This posting is for a newly created role at Klick. The base salary range for this position is between CAD $100,000 – $120,000. The final amount offered will be determined based on several factors such as a candidate's work location, their unique skill set, education, and prior work experience.All your information will be kept confidential according to EEO guidelines.#J-18808-Ljbffr

📌 Applied Ai Developer - C$100,000 - C$120,000 A Year (Winnipeg)
🏢 Klick
📍 Winnipeg