Ai Engineer

Job Title: AI Engineer Generative AI / Machine Learning Location: Chicago, IL (Hybrid/Onsite as required)
Employment Type: Contract
Experience: 5+ Years Job Summary

We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications using machine learning, Generative AI, Large Language Models (LLMs), and cloud-based AI services. The ideal candidate will have strong Python programming skills, hands-on experience building production-ready AI solutions, and expertise in integrating AI models into enterprise applications.

• Design, develop, and deploy AI and machine learning solutions for business applications.

• Build Generative AI applications using LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and vector databases.

• Develop AI agents and intelligent automation workflows to solve complex business problems.

• Build data pipelines for data preparation, feature engineering, model training, and evaluation.

• Integrate AI models with enterprise applications through REST APIs and microservices.

• Implement model evaluation, monitoring, performance optimization, and responsible AI practices.

• Work with structured and unstructured data to develop scalable AI solutions.

• Deploy and manage AI applications using AWS, Azure, or Google Cloud.

• Collaborate with data scientists, software engineers, architects, and business stakeholders.

• Maintain technical documentation and follow security, governance, and data privacy standards.

• Strong programming experience in Python.

• Hands-on experience with Machine Learning and Generative AI.

• Experience working with LLMs, prompt engineering, and RAG architectures.

• Knowledge of AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.

• Experience with LangChain, LlamaIndex, or similar AI application frameworks.

• Understanding of embeddings, vector databases, semantic search, and information retrieval.

• Experience developing REST APIs and integrating AI models into applications.

• Strong knowledge of data processing, SQL, and data pipeline development.

• Experience with Git, testing, debugging, and production deployment practices.

• Experience with agentic AI, AI agents, and multi-agent workflows.

• Knowledge of vector databases such as Pinecone, FAISS, Weaviate, or Milvus.

• Experience with cloud AI services such as AWS Bedrock, Azure OpenAI, or Google Vertex AI.

• Familiarity with Docker, Kubernetes, CI/CD, and MLOps.

• Experience with model fine-tuning, model evaluation, and inference optimization.

• Knowledge of responsible AI, model governance, and AI security.

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or equivalent practical experience