fundae Software Inc. is a specialized enterprise AI firm dedicated to addressing complex, large-scale business scenarios through advanced artificial intelligence technologies. By partnering with leading global enterprises, including Fortune 500 companies in sectors such as pharmaceuticals, biotechnology, and healthcare, fundae develops and deploys strategic AI solutions that optimize operational effectiveness, improve regulatory compliance, and deliver measurable organizational value.

About the Role:

We are looking for passionate individuals aiming to build a rewarding career in Enterprise Artificial Intelligence (AI). Candidates selected for this program will undergo comprehensive training in cutting-edge AI technologies and will later be placed in significant AI projects for major global enterprises.

Your Accelerated Career Path:

Initial Training (Month 1): Virtual instructor-led training covering:

• Language Models (Large and Small)
• Understanding Enterprise AI
• Reasoning and Prompt Engineering
• Enterprise AI Applications (NLP, NER, RAG, NLP-to-SQL)
• AI Agents (Digital Twins)
• AI Agent Orchestration

Practical Training (Months 2 to 4):

• Real-time project experience under professional mentorship
• Hands-on application of your AI skills in real-world enterprise scenarios

Placement:
Candidates selected for this program will be evaluated and placed into permanent roles, either within internal product teams or external client projects for Fortune 500 companies.

Enterprise AI Bootcamp Curriculum:

• AI 101: Introduction to Artificial Intelligence (3 Credits, Corresponding US Course: CS 101, Introduction to AI). Fundamental AI concepts and distinctions between general AI and enterprise-specific AI.
• AI 201: Natural Language Processing and Language Models (3 Credits, Corresponding US Course: CS 220, Natural Language Processing). NLP methods and applications, skills to implement NLP-driven solutions.
• AI 210: Human AI Interaction and Prompt Engineering (3 Credits, Corresponding US Course: IT 240, Human Computer Interaction). Prompt engineering techniques for optimal user-AI interactions.
• AI 220: Applied Data Analytics for Enterprise (3 Credits, Corresponding US Course: DS 310, Applied Data Analytics). Analytics methods essential for enterprise AI including NLP, NER, RAG, and NLP-to-SQL.
• AI 301: Intelligent Systems AI Agents (3 Credits, Corresponding US Course: CS 340, Intelligent Systems). Designing and deploying AI agents for complex enterprise tasks using frameworks like LanGraph and LangChain.
• AI 302: Digital Twins (Human Digital Twins - HDTs) (3 Credits, Corresponding US Course: CS 342, Digital Twin Systems). HDT systems for modeling human behavior and improving workflows.
• AI 310: Capstone Practicum in Enterprise AI (3 Credits, Corresponding US Course: CS 400, AI Capstone Project). Comprehensive development and implementation of enterprise AI projects.

Upon successful completion, participants receive a Certificate in Enterprise AI, officially recognizing specialized skills and readiness for enterprise AI roles.

Total Credits: 21 (Equivalent to one full semester of U.S. university coursework)

The Enterprise AI training program provided by fundae Software Inc. is offered at no cost to selected candidates. Designed to accommodate your existing professional or academic commitments, the training sessions are scheduled exclusively during weekends and weekday evenings, allowing you to seamlessly continue your current employment or studies while advancing your AI expertise.

Candidate Requirements:

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, or related fields
• Minimum of 18 months professional experience (including internships)
• Basic knowledge of SQL or Python
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Understanding NLP concepts
• Exposure to AI Agent concepts or Digital Twins
• Reasoning and effective communication in technical contexts
• Comfortable with weekend virtual training sessions

Required Prerequisite: Enterprise-Grade Cloud Infrastructure

Candidates must have their own enterprise-grade cloud environment (Azure or AWS) ready for training and practical exercises. This infrastructure is critical to successfully engage with the curriculum and support immediate professional application.

For Azure, the essential environment includes Azure OpenAI Service, Azure Cognitive Services, Azure Functions, Azure Kubernetes Service (AKS), Azure Storage (Blob and Data Lake), Azure SQL Database or PostgreSQL, Azure Monitor and Application Insights, and Azure Logic Apps.

The use of a personal cloud environment is essential, as enterprise AI training involves extensive, hands-on experience with real-world tools and infrastructure. Shared or temporary environments are insufficient because they do not provide continuous access, customization, or realistic operational scenarios needed to develop genuine expertise. Maintaining your own professional-grade environment ensures you can effectively practice, experiment, and validate enterprise-grade solutions independently, directly supporting your professional growth and preparedness.

Non-enterprise-grade cloud environments typically have restrictions on model capabilities, token throughput, data processing volumes, and daily token usage limits, significantly constraining the scope of practical training. Such limitations prevent meaningful engagement with large-scale, realistic scenarios encountered in professional enterprise AI deployments. To genuinely develop the skills essential for enterprise-grade implementations, students must actively practice within an enterprise-grade environment, where these restrictions do not exist, ensuring authentic experience and proficiency aligned with industry requirements.

Candidates must demonstrate active setup and availability of their selected cloud platform before program commencement.

Compensation and Benefits:

• Initial placement stipend starting at USD 2,500 per month upon being placed on a project for a minimum of 3 months and maximum of 6 months. Post-placement stipend period, candidates will transition to a competitive salary based on individual performance and market benchmarks.
• Upon successful completion of the initial placement period, candidates will transition from the stipend phase to full-time employment, with salaries ranging between USD 45,000 to USD 80,000 annually. This compensation is determined by individual performance, relevant professional experience, education level, and alignment with prevailing market standards.
• Additionally, converted employees will gain access to comprehensive health insurance, paid vacation, and other employee benefits, reflecting fundae's commitment to rewarding professional growth and ensuring competitive, long-term career development.
• For deserving candidates, fundae Software Inc. also provides visa sponsorship, reflecting our commitment to attracting global talent and building a diverse, world-class team.
• Our strategic growth initiatives include expanding operations into the European Union, the United Kingdom, and the Middle East, making this role a truly global opportunity with extensive possibilities for international exposure and career advancement.

The training period is up to 4 months, potentially shorter if candidates master the curriculum earlier and are prepared for immediate professional deployment.