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.