AI Engineer
Total System Services, LLC (TSYS)1 day ago
Oklahoma City, OK, USAMid Level
Responsibilities
- Design, develop, deploy, and optimize ML, deep learning, and generative AI models for complex business problems.
- Build scalable ML pipelines, agentic workflows, autonomous AI agents, and production-grade AI systems.
- Apply prompt engineering, RAG, fine-tuning, RLHF, vector search, and LLM orchestration techniques.
- Use cloud AI platforms and vector databases to support retrieval, memory, deployment, and enterprise adoption.
- Implement MLOps practices including CI/CD, monitoring, versioning, retraining, and model lifecycle management.
- Collaborate with data scientists, product managers, and engineers to translate business requirements into AI solutions.
- Evaluate emerging AI tools and contribute to responsible AI documentation, knowledge sharing, and best practices.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
- At least 4 years of experience in AI/ML engineering with a strong foundation in ML and deep learning algorithms and systems.
- Proficiency in Python, TensorFlow, PyTorch, and Transformers.
- Hands-on experience with generative AI models, agentic AI systems, NLP, conversational AI, and LLM-based applications.
- Experience with vector search, semantic retrieval, MLOps, model deployment, monitoring, retraining, and production AI systems at scale.
- Hands-on development experience on Google Cloud Platform.
- Preferred experience includes prompt engineering, RLHF, LLM evaluation, AI governance and safety, reinforcement learning, multi-agent systems, Apache Spark, Kafka, BigQuery, Snowflake, CI/CD, infrastructure-as-code, and cloud-native AI tooling.
- Strong problem-solving, communication, collaboration, organizational, critical-thinking, and independent-working skills.