AI Engineer

VDart Inc; Chicago (IL); Hybrid; USD 96,000 - 165,000; Part time

Job summary

VDart Inc. in Chicago, IL seeks an experienced AI Engineer for a contract role to design, build, and deploy AI-powered applications using ML, Generative AI, LLMs, and cloud services.

You will implement production-grade models, integrate them with enterprise apps via REST APIs, and collaborate with data scientists and software engineers to deliver scalable solutions. The role requires strong Python programming, hands-on ML experience, and a track record of delivering end-to-end AI projects in

Qualifications

• 5+ years of hands-on ML/AI engineering experience with production systems.
• Strong Python programming and production-ready AI solutions.
• Experience with Generative AI, LLMs, prompts, and RAG architectures.
• Knowledge of embeddings, vector databases, semantic search, and information retrieval.
• Experience deploying models via REST APIs and microservices in cloud environments.
• Data pipelines, SQL, and data processing skills.
• Git, testing, debugging, and deployment experience.

Responsibilities

• Design, develop, and deploy AI/ML solutions for business applications.
• Build Generative AI apps using LLMs, prompts, RAG, and vector databases.
• Develop AI agents and intelligent workflows to solve business problems.
• Build data pipelines for data preparation, feature engineering, model training, and evaluation.
• Integrate AI models with enterprise apps via REST APIs and microservices.
• Implement model evaluation, monitoring, and governance, with responsible AI practices.
• Work with structured/unstructured data to develop scalable AI solutions.
• Deploy and manage AI apps on AWS, Azure, or Google Cloud.
• Collaborate with data scientists, engineers, architects, and stakeholders.
• Maintain technical documentation and follow security/data privacy standards.

Skills

Python

Machine Learning

Generative AI

LLMs

Prompt engineering

RAG

Embeddings

Vector databases

Semantic search

Information retrieval

REST APIs

Data processing

SQL

Data pipelines

Git

Testing

Debugging

Production deployment

Education

Bachelor's or Master's in CS/AI/DS/Engineering

Tools

LangChain

LlamaIndex

PyTorch

TensorFlow

Scikit-learn

Docker

Kubernetes

CI/CD

MLOps

AWS Bedrock

Azure OpenAI

Google Vertex AI

Pinecone

FAISS

Weaviate

Milvus

Job description

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.

Key Responsibilities

• 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.

Required Skills

• 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.

Preferred Skills

• 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.

Education

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