We are Progress (Nasdaq: PRGS) \- the trusted provider of software that enables our customers to develop, deploy and manage responsible, AI\-powered applications and experiences with agility and ease. We’re proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progress. Join us as an **AI Engineer** and help us do what we do best: propelling business forward. You’ll work on our product, Progress Agentic RAG, a cutting\-edge system that combines retrieval\-augmented generation (RAG) and advanced agentic pipelines to transform how humans interact with unstructured data. We’re seeking an AI Engineer to help design and build scalable, production\-ready components that power our agentic platform. **In this role, you will:*** Architect and implement advanced RAG pipelines, including cutting edge extraction, memory systems, and tool\-augmented agents. * Lead the integration of LLMs with external APIs, databases, and internal knowledge graphs. * Architect and optimize multi\-agent systems, ensuring agents can collaborate, delegate tasks, and interact seamlessly with both internal and external tools and APIs. * Take part in LLM fine tuning projects, helping plan and architect efficient, reproductible pipelines. * Mentor junior engineers and collaborate with researchers to bring cutting\-edge NLP ideas into production. * Optimize performance, latency, and cost across the stack. * Own the lifecycle of NLP components: from design to deployment and monitoring. * Contribute to internal tooling. **Your Background:*** Excellent communication and team collaboration skills. * 7\+ years of experience in software engineering, with at least 5 in NLP or ML. * Deep understanding of LLMs, Transformers, and RAG architectures. * Strong Python skills and experience with frameworks like FastAPI and HuggingFace. * Have experience deploying ML models in production through specialized inference servers such as Triton Inference Server, vLLM, SGLang or TGI. * Proficient in managing the full ML production lifecycle, including CI/CD pipelines, containerization with Docker, orchestration using Kubernetes, and monitoring of services. * Worked previously in services deployed in any major cloud provider (AWS, Azure, GCP). * Familiarity with vector databases. * Excellent communication and leadership skills. * Comfortable working in a remote\-first environment. **Additionally, it would be beneficial if you have:*** Strong Communication and interpersonal skills (Spoken and written). * Experience in building evaluation frameworks for LLM or RAG environments. * Experience with agentic frameworks or autonomous agents. * Contributions to open\-source NLP or ML projects. * Passion about staying up to date with the latest NLP research. **If this sounds like you and fits your experience and career goals, we’d be happy to chat.** **Compensation:*** Generous remuneration package * Employee Stock Purchase Plan Enrollment **Vacation, Family, and Health:*** 23 vacation days annually * Birthday day off * Community service time off * International Women’s Day – March 8 is an official holiday for all employees * Life and Medical Insurance \#LI\-Remote \#LI\-DG1