AI Engineer

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.