Start Date
Immediate
Expiry Date
27 Dec, 26
Salary
40000.0
Posted On
28 Sep, 26
Experience
6 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
Yes
Skills
Industry
Information Technology & Services
Job Description:
• Develop and maintain AI-powered business applications, intelligent automation tools, and internal digital solutions.
• Build full-stack web applications using Python/Django, Node.js, React.js, HTML/CSS/JavaScript, and REST APIs.
• Integrate LLMs, prompt engineering, vector databases, and AI models into practical business applications and workflows.
• Work with the IT team on requirements, application support, databases, and occasional basic infrastructure/networking tasks.
• 40 years old and below
• At least 3 years of software development experience with strong hands-on expertise in Python and Django, along with full-stack development using React.js, JavaScript, HTML/CSS, REST APIs, and working knowledge of Node.js.
• Practical experience developing LLM/Generative AI applications, including prompt engineering, with preferably hands-on exposure to RAG and vector databases.
• Strong proficiency in NumPy and Pandas, with solid database knowledge and preferably experience working with Microsoft SQL Server.
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Job Description:
• Develop and maintain AI-powered business applications, intelligent automation tools, and internal digital solutions.
• Build full-stack web applications using Python/Django, Node.js, React.js, HTML/CSS/JavaScript, and REST APIs.
• Integrate LLMs, prompt engineering, vector databases, and AI models into practical business applications and workflows.
• Work with the IT team on requirements, application support, databases, and occasional basic infrastructure/networking tasks.
• 40 years old and below
• At least 3 years of software development experience with strong hands-on expertise in Python and Django, along with full-stack development using React.js, JavaScript, HTML/CSS, REST APIs, and working knowledge of Node.js.
• Practical experience developing LLM/Generative AI applications, including prompt engineering, with preferably hands-on exposure to RAG and vector databases.
• Strong proficiency in NumPy and Pandas, with solid database knowledge and preferably experience working with Microsoft SQL Server.
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