Job Title: Senior AI Engineer
Location: Chicago, IL(Remote)
Duration: 24 Months + Extension
Bill Rate: $76/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

We are seeking an experienced Senior AI Engineer to design, develop, and implement advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong hands-on experience in Generative AI, Large Language Models (LLMs), Python programming, and cloud-based AI platforms.
The candidate will work closely with data scientists, software engineers, architects, and business stakeholders to build scalable, secure, and production-ready AI applications that solve complex business problems.

Key Responsibilities:

Design, develop, and deploy AI/ML models and intelligent applications.
Build and implement Generative AI solutions using LLMs, including GPT, Claude, and other foundation models.
Develop Retrieval-Augmented Generation (RAG) pipelines and enterprise AI applications.
Work with vector databases such as Pinecone, Weaviate, FAISS, or ChromaDB.
Develop AI-powered applications using Python, LangChain, and LlamaIndex.
Implement prompt engineering, fine-tuning, and model optimization techniques.
Build scalable AI services and REST APIs for enterprise applications.
Integrate AI/ML models with existing applications, databases, and enterprise systems.
Deploy and manage AI solutions using AWS, Azure, or Google Cloud.
Implement model monitoring, evaluation, performance optimization, and responsible AI practices.
Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
Ensure AI applications meet security, scalability, reliability, and performance requirements.

Required Skills & Qualifications:

8+ years of experience in software engineering, AI/ML engineering, or related fields.
Strong programming experience in Python.
Hands-on experience with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong experience with Generative AI, LLMs, and foundation models.
Experience building RAG-based applications and LLM-powered solutions.
Proficiency in LangChain, LlamaIndex, or similar AI orchestration frameworks.
Experience with vector databases and semantic search technologies.
Strong understanding of NLP, embeddings, transformers, and neural networks.
Experience developing REST APIs and microservices.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Experience with Docker, Kubernetes, CI/CD, and production deployment.
Strong problem-solving, analytical, and communication skills.