Senior AI Engineer

Stack

Responsibilities

• ▹Design and build AI solutions for real-world business problems, with a strong focus on LLMs and modern ML
• ▹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 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
• ▹Educate and guide stakeholders on the potential applications of AI

Requirements

• ▹Minimum of 5 years in a Software Development role, including at least 2 years in AI/ML engineering
• ▹Proven experience building and deploying production-grade AI/ML systems, batch and/or real-time
• ▹Practical experience with LLMs and generative AI: prompt engineering, fine-tuning, RAG pipelines, LLM orchestration frameworks
• ▹Experience with vector databases and semantic search: 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 async/await
• ▹Experience with cloud platforms (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 technology adoption in a corporate setting

Nice to have

• ▹Familiarity with MLOps practices and tools for managing AI/ML workflows
• ▹Strong communication skills, able to educate and influence stakeholders at all levels

Soft skills

About the company

Remote People builds infrastructure for global payroll, benefits, taxes, and compliance, enabling businesses to hire anyone anywhere compliantly.