AI Engineer Small Language Models (SLM)

AI Engineer Small Language Models (SLM)

Location:

Charlotte, NC / Philadelphia, PA (Hybrid)

Duration:

Long-Term Contract Experience Required:

4 5 Years Job Summary We are seeking an AI Engineer with hands-on experience building, fine-tuning, and deploying Small Language Models (SLMs) and enterprise AI solutions. The ideal candidate will have strong expertise in model optimization, inference pipelines, Retrieval-Augmented Generation (RAG), and deploying AI applications in cloud environments. This role offers an opportunity to work on cutting-edge AI initiatives, developing scalable and production-ready intelligent systems that support enterprise business objectives. Key Responsibilities Design, build, fine-tune, and optimize Small Language Models (SLMs) for enterprise use cases. Develop and deploy AI/ML solutions using Python and modern AI frameworks. Build and maintain Retrieval-Augmented Generation (RAG) pipelines, vector search systems, and knowledge retrieval solutions. Fine-tune, evaluate, and improve transformer-based language models. Integrate AI-powered solutions into enterprise applications and workflows. Develop scalable inference pipelines and optimize model performance. Implement MLOps practices, CI/CD pipelines, and cloud-based deployment strategies. Collaborate with product managers, software engineers, data scientists, and business stakeholders to deliver AI solutions. Monitor and improve model performance, reliability, and scalability in production environments. Stay current with emerging AI technologies, frameworks, and best practices. Required Qualifications 4 5 years of experience in Software Engineering, Machine Learning Engineering, or AI Engineering. Strong programming expertise in Python. Hands-on experience working with Small Language Models (SLMs) and Large Language Models (LLMs). Experience building and deploying AI solutions in production environments. Strong understanding of machine learning workflows, model evaluation, and deployment strategies. Experience developing enterprise-grade AI applications. Required Technical Skills Python Small Language Models (SLMs) Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) LangChain Hugging Face LlamaIndex Vector Databases Embeddings Machine Learning Model Deployment AWS Cloud Services REST APIs & Application Integration CI/CD Pipelines MLOps Practices Preferred Qualifications Experience with enterprise AI platforms and AI application frameworks. Knowledge of model optimization techniques and inference performance tuning. Experience deploying and managing AI workloads in cloud environments. Familiarity with scalable AI architecture and distributed systems. Exposure to regulated or enterprise-scale environments. Nice to Have Prompt Engineering experience. Multi-Agent AI Systems development. Conversational AI and chatbot implementation experience. Experience working with advanced AI orchestration frameworks. Key Competencies AI Solution Design Problem Solving Analytical Thinking Innovation & Continuous Learning Cross-Functional Collaboration Communication Skills Production AI Deployment Performance Optimization