

Intellectt Inc
AI Lead Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Lead Engineer in Atlanta, GA, for 12+ months on W2, offering a pay rate of "unknown." Requires 10+ years in software development, 5+ in AI/ML, strong Python skills, and experience with AWS/Azure, CI/CD, and microservices.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
Unknown
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ποΈ - Date
November 8, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
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π - Security
Unknown
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π - Location detailed
Georgia, United States
-
π§ - Skills detailed
#Microservices #AI (Artificial Intelligence) #MongoDB #FastAPI #SQL (Structured Query Language) #Streamlit #Python #API (Application Programming Interface) #Azure #Docker #ML (Machine Learning) #Scala #AWS (Amazon Web Services) #Kubernetes
Role description
Role: AI Lead Engineer
Location: Atlanta, GA (Onsite)
Duration:12+months on W2
Weβre hiring an AI Lead Engineer with strong expertise in Python, LLMs, and Prompt Engineering to design and deploy scalable AI solutions.
β’ Lead development of AI/LLM-based systems and microservices (FastAPI, Streamlit)
β’ Optimize model performance using Prompt Engineering and fine-tuning
β’ Manage configurations (Hydra, Jinja) and data (MongoDB, SQL)
β’ 10+ years in software development, 5+ in AI/ML or LLM systems
β’ Strong skills in Python, FastAPI, Streamlit, MongoDB, Docker, Kubernetes
β’ Experience with AWS/Azure, CI/CD, and API integrations
Role: AI Lead Engineer
Location: Atlanta, GA (Onsite)
Duration:12+months on W2
Weβre hiring an AI Lead Engineer with strong expertise in Python, LLMs, and Prompt Engineering to design and deploy scalable AI solutions.
β’ Lead development of AI/LLM-based systems and microservices (FastAPI, Streamlit)
β’ Optimize model performance using Prompt Engineering and fine-tuning
β’ Manage configurations (Hydra, Jinja) and data (MongoDB, SQL)
β’ 10+ years in software development, 5+ in AI/ML or LLM systems
β’ Strong skills in Python, FastAPI, Streamlit, MongoDB, Docker, Kubernetes
β’ Experience with AWS/Azure, CI/CD, and API integrations





