SR. AI ENGINEER, SMAI

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related technical discipline. 5+ years of professional experience developing, delivering, and supporting production-grade enterprise solutions.
• Demonstrated experience owning technical solutions across design, implementation, testing, deployment, and production support.
• Experience working in global, cross-functional environments and collaborating with technical and business stakeholders.
• Strong analytical, problem-solving, organizational, written communication, verbal communication, and presentation skills.
• Ability to manage ambiguity, evaluate technical trade-offs, and independently drive complex engineering work to completion.
• Ability to travel as needed.
• Required Technical Expertise Advanced proficiency in at least one general-purpose programming language such as Python, C#, Java, or C++, including object-oriented design, asynchronous programming, error handling, testing, debugging, and performance optimization.
• Experience developing secure RESTful APIs, backend services, microservices, integration components, and distributed applications.
• Practical experience with a modern frontend framework such as Angular, React, or Blazor, along with HTML, CSS, TypeScript, or JavaScript.
• Hands-on experience integrating Large Language Models or machine-learning capabilities into production applications.
• Experience with prompt design, Retrieval-Augmented Generation, embeddings, vector search, tool or function calling, AI agents, evaluation methods, grounding, and production safeguards.
• Strong SQL skills and experience with relational databases such as Microsoft SQL Server, PostgreSQL, Oracle, or MySQL.
• Working knowledge of non-relational, analytical, graph, search, or vector data stores.
• Experience designing and implementing ingestion, transformation, orchestration, and processing workflows using technologies such as Apache NiFi, Spark, Snowflake, or equivalent platforms.
• Experience developing cloud-based solutions on Azure, Google Cloud Platform, or Amazon Web Services using managed platform services.
• Understanding of containers and orchestration platforms such as Docker, Kubernetes, or OpenShift.
• Strong understanding of d