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