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Artificial Intelligence (AI) Engineer

Select Source International
Melbourne, FL Contractor
POSTED ON 5/2/2026
AVAILABLE BEFORE 6/2/2026
Job Title: Artificial Intelligence (AI) Engineer IIILocation: Melbourne, FL (Hybrid)Duration: 12 Months(with high possibility of extension).Work Schedule: Hybrid – 2–3 days per week onsiteWorking Hours: 8:00 AM – 5:00 PMTravel: Up to 20% (mostly domestic – customer sites & conferences)Job Description:The AI Engineer III will design, develop, and deploy advanced AI and Large Language Model (LLM) solutions to automate processes and solve complex business problems. This role focuses on building production-grade AI systems aligned with enterprise objectives.The ideal candidate brings strong hands-on expertise in LLM systems, scalable ML infrastructure, and end-to-end MLOps ownership. Must-Have SkillsAdvanced Python programmingCI/CD pipelines for ML systemsDeep Learning: CNNs, RNNs, TransformersDocker containersDocker SwarmKubernetesLarge Language Models (LLMs)REST and gRPC APIsVector databases Key ResponsibilitiesAI & Machine Learning DevelopmentEvaluate ML processes and select appropriate models for business use cases.Develop and deploy AI algorithms, including CNNs, RNNs, and Transformer-based architectures.Train, fine-tune, and optimize LLMs for enterprise applications.Collect, clean, and analyze large datasets to train AI models.Test and validate models to ensure performance, scalability, and accuracy.LLM Application & System ArchitectureDesign and implement production-grade LLM systems including:RAG (Retrieval-Augmented Generation) pipelinesAI agentsTool/function-calling systemsImplement embeddings, prompt engineering strategies, and context management.Integrate vector databases into LLM workflows.Production MLOps & InfrastructureOwn end-to-end ML lifecycle:CI/CDDeploymentMonitoringVersioningPerformance & cost optimizationBuild scalable APIs using REST and gRPC.Deploy models using Docker and orchestrate workloads using Kubernetes and Docker Swarm.Support GPU-based ML workloads in cloud environments (AWS, Azure, or GCP).Cross-Functional CollaborationPartner with engineering, product, and business teams to define AI goals.Ensure AI solutions align with enterprise architecture and operational standards.Stay current with emerging AI technologies and best practices. Required QualificationsMaster’s degree in computer science, Engineering, or related field.Proven experience as an AI Engineer or similar role.Strong expertise in advanced Python development.Hands-on experience with deep learning frameworks.Experience deploying scalable AI systems in production.Strong analytical, problem-solving, and communication skills. What Success Looks LikeDeployment of scalable, production-grade LLM systems.Reliable, monitored ML pipelines with automated CI/CD.High-performance AI models aligned with business objectives.Efficient, maintainable cloud-native ML infrastructure. Company DescriptionSelect Source International (SSI) is a distinguished staffing company with nearly 25 years of experience, renowned for delivering top-tier workforce solutions encompassing staffing, recruiting, and managed services. As a proud supplier, we bring a wealth of expertise and best-in-business differentiEditing this field will affect all jobs at this hiring companyWho should get alert emails for new candidates?ators to comprehensively support your diverse workforce needs.Based in Minneapolis, Minnesota, USA, SSI has established itself as a global leader, serving a broad clientele across industries with unwavering dedication and excellence. SSI is ISO 9001, 14001, and Soc2 Type2 certified, underscoring our commitment to quality and security. We have garnered numerous sustainability and supplier diversity awards, further validating our industry-leading capabilities

Salary : $60 - $62

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