Prompt Engineers craft the instructions that make AI systems useful — designing system prompts, building RAG pipelines, evaluating model outputs, and optimizing for accuracy, safety, and cost. It's one of the fastest-growing roles in tech.
TalentProof
TalentProof
TalentProof
We are seeking a highly motivated Business AI Prompt Engineering Intern to join our team. This role is perfect for individuals with strong business acumen and a keen interest in artificial intelligence, eager to learn how to effectively communicate with large language models to drive business value. No prior coding experience is required for this role; your primary contribution will be leveraging your business domain knowledge to craft powerful AI prompts.
Required Skills & Experience:
Preferred Qualifications:
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Enzigma
TalentProof
TalentProof
TalentProof
TalentProof
TalentProof
Enzigma
Experience: 0-1 years
Role & responsibilities
• Install, configure, and support operating systems and business applications
• Assist in managing desktops, laptops, printers, scanners, and other IT hardware
• Support user account creation, password reset, permissions, and access management
• Monitor system health, server availability, and basic network performance
• Troubleshoot basic hardware, software, email, VPN, and network-related issues
• Assist in system updates, antivirus updates, and routine security checks
• Support firewall administration and network monitoring activities
• Assist in configuring LAN, WAN, Wi-Fi, and internet connectivity
• Support basic cloud operations on platforms such as:
o Microsoft Azure
o Amazon Web Services (AWS)
• Assist in managing virtual machines, backups, and cloud resources
• Support Microsoft 365 administration including:
o User creation and license assignment
o Password reset and MFA setup
o Mailbox management
o Distribution groups and shared mailboxes
o Basic Exchange Online and Teams administration
• Assist in managing:
o Active Directory
o Group Policies
o File sharing and access permissions
• Monitor backup jobs and assist in disaster recovery activities
• Coordinate with ISPs, vendors, and third-party support teams when required
• Maintain IT asset inventory and technical documentation
• Provide technical support to end users
• Follow organizational IT security policies and standards
Required Skills
Technical Skills
• Basic knowledge of Windows and Linux operating systems
• Basic understanding of Windows Server and Active Directory
• Basic networking knowledge:
o TCP/IP
o DNS
o DHCP
o VPN
o LAN/WAN
• Basic understanding of firewall concepts and troubleshooting
• Understanding of antivirus and endpoint security concepts
• Familiarity with cloud platforms such as:
o Microsoft Azure
o Amazon Web Services (AWS)
• Basic understanding of:
o Virtual Machines
o Storage management
o User access management
• Basic knowledge of:
o Microsoft 365
o Exchange Online
o Microsoft Teams
o SharePoint basics
• Basic understanding of virtualization technologies:
o VMware
o Hyper-V
• Knowledge of ticketing systems or monitoring tools will be an added advantage
Preferred Certifications (Optional)
• Microsoft Certified Fundamentals
• AWS / Azure Cloud Practitioner
• Cisco CCNA
• ITIL Foundation
• Basic cybersecurity certifications
Employment service agreement: 2.5 Years
• Looking out for candidates who can join immediately
• We are looking for motivated people who like to be part of a fast-paced growing Company. Enzigma is a technology company, and we are looking for people with a like spirit and exceptional commitment.
• Candidate must be ready to work any shift and sign an employment service agreement of 2.5 years.
• Candidates who have applied in the past 3 months for any position in Enzigma will not be eligible to apply.
Get assessed in these skills to stand out when applying for prompt engineer jobs
Prompt Engineers design and optimize prompts for LLMs, build evaluation frameworks, construct RAG (Retrieval-Augmented Generation) pipelines, fine-tune models for specific use cases, and ensure AI outputs are accurate, safe, and cost-effective.
Absolutely. As companies integrate LLMs into products, demand for engineers who understand prompt design, model evaluation, and AI system architecture has grown significantly. The role is evolving from pure prompting into broader AI application engineering.
Strong writing and analytical skills, Python programming, understanding of LLM architectures (transformers, attention), RAG/vector database experience, prompt optimization techniques (few-shot, chain-of-thought), and evaluation methodology.
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