AI Engineer

Gstate Consulting Llc

Chicago, IL, United States

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Application Performance Management Microsoft Azure Business Software Computer Programming Python (Programming Language) Machine Learning Google Cloud Cloud Platform System Large Language Models Prompt Engineering

+10 more

Generative AI Git Kubernetes Information Technology Machine Learning Operations Restful APIs GPT Automation Anywhere Docker Microservices

Job description

Design, develop, and maintain AI and Generative AI applications.
Build and integrate LLM-based solutions into business applications.
Develop and optimize RAG pipelines and AI workflows.
Collaborate with developers, architects, and business teams.
Deploy and support AI applications in cloud environments.
Troubleshoot issues and improve application performance.
Stay updated with the latest AI and Generative AI technologies.

Requirements

3+ years of experience in AI, Machine Learning, or Generative AI.
Strong programming experience in Python.
Experience with Large Language Models (LLMs) such as GPT, Claude, Gemini, or Llama.
Knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG).
Experience with AI frameworks such as LangChain or LangGraph is a plus.
Familiarity with vector databases like Pinecone, Chroma, Weaviate, or FAISS.
Experience developing REST APIs or microservices.
Hands-on experience with AWS, Azure, or Google Cloud Platform.
Knowledge of Git, Docker, and Kubernetes is preferred.
Strong analytical, communication, and problem-solving skills., * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experience with MLOps or AI model deployment is a plus.