About the job
Join Machine Learning Reply, a leader in transforming advanced AI technology into practical, scalable solutions for organizations. We are searching for an enthusiastic AI Application Engineer to help create AI-driven applications and intelligent features leveraging cutting-edge machine learning and generative AI technologies.
As part of our innovative team, you'll focus on developing user-centric AI applications, translating AI capabilities into market-ready products.
This role positions you at the nexus of AI engineering, backend development, product design, and cloud deployment, crafting production-ready AI systems that deliver significant business impact.
Key Responsibilities:
Design and develop AI-powered applications for enterprise clients, including digital assistants, AI copilots, semantic search systems, and intelligent automation solutions.
Create applications powered by LLM and Retrieval-Augmented Generation (RAG) using the latest AI frameworks.
Develop comprehensive AI products that integrate LLM APIs with enterprise data sources and backend services.
Architect scalable AI microservices and APIs to embed AI functionalities into enterprise platforms.
Implement vector search, embeddings pipelines, and knowledge retrieval systems.
Rapidly prototype AI features and proofs-of-concept, transitioning them to production-grade systems.
Collaborate with product managers, designers, AI engineers, and enterprise clients to create impactful AI solutions.
Deploy AI systems on cloud platforms following modern DevOps practices.
Ensure reliable, scalable, and observable AI services through CI/CD pipelines, monitoring, and containerized deployments.
What We Offer:
An open and collaborative environment within the global Reply network, allowing you to build next-generation AI applications.
Interdisciplinary collaboration with teams comprising AI engineers, software developers, and data scientists across diverse industries such as Banking, Insurance, Automotive, and Retail.
An active social program featuring paid training, conferences, communities of practice, hackathons, and Reply XChange.
Monetary benefits including a mobility package, gym subsidies, insurance, and pension schemes.

