AI Engineer

Das ist der Job

Responsibilities Design, build, and integrate AI-powered services, APIs, workflows, and automation capabilities.

Darum lohnt es sich

Develop agentic workflows and AI orchestration patterns that can be used by Deluxe applications and internal teams. Partner with product, operations, and engineering teams to identify AI use cases and translate them into technical solutions. Strong programming skills in Python and experience with modern software engineering practices.

Experience working collaboratively with platform, infrastructure, DevOps, product, and application teams. Build and maintain scalable backend services using Python and frameworks such as FastAPI, Flask, Django, or similar technologies.

Integrate AI-driven components with internal and external services through REST APIs, message queues, event-driven systems, or workflow orchestration tools. Evaluate commercial, open-source, and internally hosted models for quality, latency, cost, reliability, and fit for purpose.

Build prototypes and production-ready services using LLMs, speech models, language models, or other AI capabilities. Experiment with AI/LLM APIs, model providers, frameworks, and orchestration tools to identify practical solutions for business workflows. Support model evaluation, testing, benchmarking, prompt evaluation, and quality measurement.

Build integrations between AI services and existing Deluxe applications, workflow tools, data sources, and operational systems. Work with AI Platform Engineers to package, deploy, monitor, and operate AI services in production. Contribute to reusable AI engineering patterns, libraries, APIs, documentation, and best practices.

Support training, fine-tuning, data preparation, or experimentation activities where needed. Stay current with emerging AI models, frameworks, agentic patterns, and applied AI techniques. Requirements Experience building software systems, APIs, data services, automation platforms, or AI-enabled applications.

Hands‑on experience with AI/ML, LLMs, agentic workflows, model integration, or applied AI development. Experience building RESTful APIs and backend systems using frameworks such as FastAPI, Flask, Django, or similar technologies. Experience integrating models, AI APIs, or AI services into production or near‑production systems.

Understanding of APIs, microservices, data pipelines, asynchronous programming, orchestration, testing, and deployment practices. Experience automating or optimizing complex workflows using AI, NLP, OCR, rules engines, RPA, or workflow orchestration tools.

Ability to evaluate model outputs, design experiments, compare approaches, and communicate technical tradeoffs. Strong written and verbal communication skills. Core Competencies Demonstrates expertise in building and integrating AI‑powered services and APIs, with strong proficiency in Python and frameworks like FastAPI, Flask, and Django.

Capable of evaluating AI models and optimizing workflows through automation and orchestration tools. #J-18808-Ljbffr