Key Responsibilities:
- * Develop assigned AI and Generative AI use cases based on approved business requirements and technical designs.
- Build AI assistants, intelligent workflows and prototypes using Large Language Models and enterprise data.
- Prepare, process and analyze structured and unstructured data required for AI solutions.
- Develop and integrate RAG, prompt-engineering and AI-agent capabilities where applicable.
- Build and consume APIs to integrate AI solutions with internal applications and enterprise systems.
- Test and evaluate AI solution accuracy, quality, performance and expected business outcomes.
- Apply source-control, security, data privacy and responsible AI practices during solution development.
- Prepare technical documentation and support deployment, monitoring and production stabilization.
Education:Bachelor Degree in artificial intelligence, data science, computer science, software engineering, computer engineering or any related field.
Level Of Experience:Fresh Graduate / Entry Level (0-1 year) in a related field. Relevant graduation projects, internships, hackathons or personal AI projects are considered an advantage.
Essential:Technical Skills & Knowledge:
- Good understanding of AI, Machine Learning and Generative AI concepts.
- Ability to develop AI prototypes and translate business use cases into working solutions.
- Understanding of prompt engineering, LLM APIs and AI solution evaluation.
- Ability to work with structured and unstructured data using Python and SQL.
- Understanding of REST APIs and integration concepts.
- Basic knowledge of secure development, data privacy and responsible AI principles.
- Good analytical, problem-solving, communication and teamwork skills.
Desirable:
- * Exposure to RAG, embeddings, vector databases, AI agents and enterprise AI integration.
Certifications & Licensure
Essential:
- * Python programming
- Artificial Intelligence / Machine Learning fundamentals
- Generative AI and Large Language Models (LLMs) fundamentals
- SQL and data manipulation
- REST APIs and JSON
- Git / source control
Desirable:
- * Microsoft Azure AI Fundamentals (AI-900) or equivalent AI training/certification
Essential:Tools & Systems:
- Python and common AI/data libraries
- LLM APIs and AI development frameworks
- SQL databases and SQL tools
- Git (GitHub/GitLab/Azure DevOps)
- Postman / Swagger
- Jira / Confluence or equivalent
Desirable:
- * Azure AI / Azure OpenAI or equivalent
- Vector databases
- Power BI
- Docker / CI/CD pipelines
