Remote People is hiring a Senior AI Engineer

At Remote People, we're building the infrastructure to power borderless teams. By handling global payroll, benefits, taxes, and compliance, our technology enables businesses to hire anyone anywhere compliantly at the push of a button. If you're interested in adding to our vision of enabling people to work in dream jobs, for every company, and from anywhere in the world, apply now! We're committed to building a global, diverse team representing different and varied backgrounds, perspectives, and experiences. We welcome applications from everyone, regardless of gender, ethnicity, sexual orientation, religion, civil or family status, age, or disability. Being part of Remote People means being part of a growing, international family. Overview: We're seeking a forward-thinking Senior AI Engineer who thrives on innovation and wants to play a pivotal role in transforming the company through cutting-edge AI technologies. You will lead the charge in integrating AI across the organization, ensuring its responsible and impactful adoption. Responsibilities: - Design and build AI solutions (with a strong focus on LLMs and modern ML) for real-world business problems. - Own the end-to-end lifecycle of AI features: problem definition, data understanding, modeling, evaluation, deployment, monitoring, and iteration. - Develop and optimize LLM-based applications (e.g. RAG, agents, chatbots, document understanding). - Participate in the design and management of data pipelines for efficient data collection, preprocessing, and analytics. - Develop and deploy AI solutions into the company’s cloud infrastructure, ensuring scalability, security, and performance. - Work closely with cross-functional teams to integrate AI capabilities into products, services, and internal tools. - Identify and prioritize areas where AI and machine learning can add measurable value to business processes, products, and operations. - Educate and guide stakeholders on the potential applications of AI, fostering a culture of innovation. Requirements: - Minimum of 5 years in a Software Development role, including at least 2 years in AI/ML engineering or a related field, with a track record of delivering AI solutions. - Proven experience building and deploying production-grade AI/ML systems (batch and/or real-time). - Practical experience with LLMs and generative AI (e.g. prompt engineering, fine-tuning, RAG pipelines, or LLM orchestration frameworks). - Experience with vector databases and semantic search (e.g. Pinecone, Weaviate, Qdrant, Elasticsearch, OpenSearch). - Experience implementing RAG architectures, retrieval pipelines, and evaluation for LLM-based systems. - Background in building and managing data pipelines for AI/ML systems. - Strong programming skills in Python, including hands-on experience with FastAPI and asynchronous programming (async/await). - Experience with cloud platforms (e.g. AWS, Azure, Google Cloud) and integrating AI solutions into cloud-based systems. - Proficiency in database management, data wrangling, and working with distributed systems. - Solid foundation in algorithm design, statistics, and data science. - Previous experience promoting and advocating for technology adoption in a corporate setting. Preferred Skills: - Familiarity with MLOps practices and tools for managing AI/ML workflows (e.g. CI/CD for ML, monitoring, experiment tracking). - Strong communication skills, with the ability to educate and influence stakeholders at all levels of the organization. - Problem-solving mindset with a focus on delivering practical, scalable AI solutions. - Passion for driving innovation and fostering an AI-first culture within the organization. - High ownership mindset, always striving for improvements in systems, processes, and ways of working. - Excellent presentation and documentation skills. - Set high standards for yourself and others, and lead by example. If you're passionate about building high quality software and enjoy working in a supportive team environment, we encourage you to apply and become a valuable part of our Product and Engineering team.