Senior AI Engineer

Your role • Develop AI solutions leveraging LLMs to improve productivity and deliver strong business impact. • Lead the end-to-end development lifecycle from ideation to deployment of AI-powered solutions across various domains. • Build scalable AI systems that support Omio’s global expansion goals. • Act as an evangelist for AI adoption by demonstrating clear value to stakeholders. • Collaborate with Business, Product, and Engineering teams to integrate AI into workflows and drive adoption. • Present models, results, and systems to both technical and non-technical audiences, including C-level stakeholders. Qualifications • Minimum 6+ years of experience in developing complex models and algorithms. • Proven track record in designing and deploying production-grade AI solutions. • Strong communication and presentation skills, with the ability to influence non-technical stakeholders. • Self-motivated, independent contributor capable of driving initiatives with minimal guidance. • Prior experience deploying scalable AI and LLM-based solutions for real-time, high-performance systems is highly desirable. Technical Skills and Knowledge • Expertise in building AI applications using large language models such as OpenAI, Claude, Gemini, LLaMA. • Experience with LLM orchestration frameworks like LangChain, LangGraph, vLLM, LMDeploy. • Strong programming skills in Java, Python, and SQL. • Familiarity with data preprocessing, feature engineering, model evaluation, MLOps, and LLMOps best practices. • Ability to construct Retrieval-Augmented Generation (RAG) systems for advanced AI workflows. • Proficiency in vector databases such as FAISS, Weaviate, Pinecone, Milvus. • Solid grasp of prompt engineering techniques to optimize LLM output. • Hands-on experience with cloud platforms like AWS, Google Cloud, or Azure.