Sibitalent Corp

Artificial Intelligence Engineer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a contract length of 3-6 months, offering $60/hr. Remote work is available. Candidates must have 9+ years of experience, including enterprise-level AI development and proficiency in Python, C/C++, or Java.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
-
๐Ÿ’ฐ - Day rate
480
-
๐Ÿ—“๏ธ - Date
October 23, 2025
๐Ÿ•’ - Duration
3 to 6 months
-
๐Ÿ๏ธ - Location
Remote
-
๐Ÿ“„ - Contract
W2 Contractor
-
๐Ÿ”’ - Security
Unknown
-
๐Ÿ“ - Location detailed
United States
-
๐Ÿง  - Skills detailed
#AI (Artificial Intelligence) #ChatGPT #ML (Machine Learning) #Data Processing #Data Science #Monitoring #Model Deployment #C++ #Deployment #API (Application Programming Interface) #Java #Python
Role description
Job Title :: AI Software Developer Rate :: $60/hr. W2 Location :: Remote Duration :: 3-6 months C2H Experience :: 9+ Years Note:: Need DL/Visa and must be localโ€“ Candidate will be working on clientโ€™s W2 Really need Senior and experts in AI Development. This person will be providing enterprise level AI Developmental solutions for the client. Need great communication and ideally enterprise level experience with AI. ROLE AND RESPONSIBILITIES In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support. TOP SKILLS: โ€ข 5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred. โ€ข 3+ years developing and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows. โ€ข Enterprise level experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution). TOP SKILLS FURTHER EXPLAINED: 1. Software Development in one or more languages at an enterprise level, doing so before 2022 1. Post 2022 resource has been using Large Language Models (LLM) like Gemeni or ChatGPT to deploy development solutions and has been using AI tools to build enterprise grade engineering solutions โ€ข AI is currently falling into mostly 4 categories: โ€ข AI researcher (team that created ChatGPT)-Not what we need โ€ข Data Scientists-Not what we need โ€ข Machine Learning Engineer (before 2022, resource worked in ML, traditional ML, develop and deploy enterprise solutions)โ€”Hiring manager is partially open to an ML Engineer, heโ€™s on the fence but open. โ€ข AI Development (worked on development tools since 2022)โ€” IDEAL RESOURCE!