Stockholm, Sweden (hybrid) – Etraveli Group is seeking an Applied AI Engineer to join the AI Optimization team. This hands-on role focuses on rapidly prototyping, testing, and evaluating agentic AI MVPs using Python, APIs, and large language model frameworks. You will design robust evaluation pipelines to measure accuracy, latency, and ROI, ensuring agents align with company principles. Once validated, you will translate prototypes into clear technical specifications for the core Technology team to scale. Responsibilities: - Rapid Prototyping & MVP Engineering: Build end-to-end agents using Python, LLM frameworks, APIs, and databases; spin up infrastructure (vector/relational databases, Docker containers) for real-world testing; select architectural patterns; iterate based on business feedback. - Data Rigor & Technical Evaluation: Design evaluation pipelines to benchmark accuracy, hallucination rates, latency, and cost; create ground-truth labeled evaluation sets with business owners; analyze discrepancies between agent outputs and human decisions; support business stakeholders in prompts and business logic; continuously test models and tools against internal benchmarks. - Feasibility & Technical Discovery: Assess operational workflows to determine feasibility and scope; evaluate new architectures and tooling to recommend core platform adoption. - Handoff & Platform Stakeholder: Serve as primary technical stakeholder to the AI platform team; translate validated MVPs into technical specs, architecture diagrams, and data flows; partner with the AI platform team to integrate M

Stockholm, Sweden (hybrid) – Etraveli Group is seeking an Applied AI Engineer to join the AI Optimization team. This hands-on role focuses on rapidly prototyping, testing, and evaluating agentic AI MVPs using Python, APIs, and large language model frameworks. You will design robust evaluation pipelines to measure accuracy, latency, and ROI, ensuring agents align with company principles. Once validated, you will translate prototypes into clear technical specifications for the core Technology team to scale. Responsibilities: - Rapid Prototyping & MVP Engineering: Build end-to-end agents using Python, LLM frameworks, APIs, and databases; spin up infrastructure (vector/relational databases, Docker containers) for real-world testing; select architectural patterns; iterate based on business feedback. - Data Rigor & Technical Evaluation: Design evaluation pipelines to benchmark accuracy, hallucination rates, latency, and cost; create ground-truth labeled evaluation sets with business owners; analyze discrepancies between agent outputs and human decisions; support business stakeholders in prompts and business logic; continuously test models and tools against internal benchmarks. - Feasibility & Technical Discovery: Assess operational workflows to determine feasibility and scope; evaluate new architectures and tooling to recommend core platform adoption. - Handoff & Platform Stakeholder: Serve as primary technical stakeholder to the AI platform team; translate validated MVPs into technical specs, architecture diagrams, and data flows; partner with the AI platform team to integrate M