Job description
We are seeking experienced software engineers to join one of our clients on a newly formed AI product development team. This group is responsible for building intelligent systems that leverage proprietary business data to transform the way clients perform search and target sourcing operations. The goal is to develop AI-first, user-centric products that combine foundational large language models (LLMs), retrieval-augmented generation (RAG), and cloud-native infrastructure to deliver intelligent, exportable business insights.
This is a hands-on development role with a focus on experimentation, rapid prototyping, and full-lifecycle product implementation. You will work closely with product, data, and business stakeholders to deliver high-value tools that generate reports and analysis in formats like Word, Excel, PowerPoint, and PDF.
Key Responsibilities
- Design, build, and deploy AI-powered products using proprietary structured and unstructured business data.
- Implement RAG systems and AI agents leveraging foundation models to handle client queries and target discovery.
- Integrate AI pipelines with external tools for web search, information access, and document generation.
- Collaborate with cross-functional teams to define and implement cloud-native architectures using AWS and/or GCP.
- Prototype and experiment with LLM-based workflows (e.g., prompt engineering, tool usage, agentic orchestration).
- Ensure scalability, performance, and security in cloud-hosted environments.
- Contribute to the AI product roadmap and provide technical guidance on implementation strategies.
Required Skills
- 3+ years of experience in software engineering, preferably in backend or platform development roles.
- Proficiency in Python, including experience with data manipulation, APIs, and automation.
- Strong foundation in cloud computing, with proven experience in AWS and/or Google Cloud Platform (GCP) services (e.g., Lambda, S3, Cloud Functions, and Vertex AI).
- Experience with version control (Git), CI/CD pipelines, and containerization (Docker).
Nice to have:
- Familiarity with LLMs (e.g., OpenAI, Anthropic, Claude, and Mistral) and understanding of transformer-based models.
- Hands-on experience building or experimenting with Retrieval-Augmented Generation (RAG) systems or agentic frameworks (e.g., LangChain, LlamaIndex).
- Ability to integrate third-party tools/APIs for document generation and workflow automation.
- Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search.
- Demonstrated ability to work with unstructured data and knowledge graphs.
- Demonstrated interest or side projects in AI, NLP, or machine learning.
About RYZ Labs:
RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world’s largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.
Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.
At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.
Our values and what to expect:
- Customer First Mentality - every decision we make should be made through the lens of the customer.
- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.
- Ownership - step up if you see an opportunity to help, even if not your core responsibility.
- Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.
- Frugality - being frugal and cost-conscious helps us do more with less
- Deliver Impact - get things done in the most efficient way.
- Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
