Generative AI Engineer

Oxford Solutions is working with a client to hire an experienced AI Engineer for a hybrid, direct hire opportunity. This role is ideal for a hands-on technologist who thrives in fast-evolving environments and wants to help build AI-driven solutions from the ground up.

This position focuses on full-stack AI application development, including the data application layer and AI integration layer. The selected candidate will work extensively with enterprise generative AI platforms, training and tuning LLMs using internal data and code, and deploying scalable AI-powered solutions into production environments.

Responsibilities

• Design and build full-stack AI solutions integrating data, application, and AI layers
• Train and fine-tune large language models using proprietary datasets and structured code frameworks
• Develop and deploy generative AI solutions in enterprise environments
• Architect and implement Retrieval-Augmented Generation (RAG) solutions
• Integrate AI capabilities into backend systems using APIs and microservices
• Work with vector databases, knowledge graphs, and modern data architectures
• Build and maintain production-grade AI systems using MLOps best practices
• Implement CI/CD pipelines for AI model lifecycle management and deployment
• Collaborate with cross-functional teams to translate business requirements into scalable AI systems
• Continuously evaluate emerging AI tools and frameworks in a rapidly changing landscape

Required Experience

• Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, or related field (or equivalent experience)
• 10+ years of overall experience in software engineering, data science, or related technical roles
• 1-2+ years of hands-on experience building and deploying generative AI solutions in enterprise settings
• Strong backend development experience using AI-driven algorithms
• Proficiency in Python, Java, Shell scripting, Linux, or Node.js
• Experience with MCP, APIs, data structures, and distributed systems
• Practical experience with AWS Bedrock and Copilot Studio (required)
• Experience with GitHub Agents, Snowflake agents, or similar AI development platforms
• Knowledge of vector databases and knowledge graph implementations
• Solid understanding of MLOps, CI/CD pipelines, and model lifecycle management
• Experience deploying production-ready AI systems

Preferred Qualifications

• Experience with API integrations across enterprise platforms
• Industry certifications related to AI, AWS, or cloud architecture (or eligibility to obtain)