AI Engineer (Entry Level)

About the role

This is an entry-level AI Engineer position focused on building AI and generative AI use cases from approved business requirements and technical designs. The role covers building AI assistants, intelligent workflows and prototypes with large language models, preparing and analyzing data, integrating AI solutions with internal applications and supporting deployment and production.

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 development.
• Prepare technical documentation and support deployment, monitoring and production stabilization.

Required profile

• Bachelor's degree in artificial intelligence, data science, computer science, software engineering, computer engineering or a related field.
• Fresh graduate or entry level (0-1 year) in a related field; graduation projects, internships, hackathons or personal AI projects are an advantage.
• Good analytical, problem-solving, communication and teamwork skills.

Required skills

• Python and SQL, including structured and unstructured data handling.
• Understanding of AI, machine learning and generative AI concepts, prompt engineering, LLM APIs and AI evaluation.
• REST APIs and integration concepts; basic knowledge of secure development, data privacy and responsible AI.
• Git (GitHub/GitLab/Azure DevOps), Postman / Swagger, Jira / Confluence or equivalent.
• Desirable: RAG, embeddings, vector databases, AI agents, enterprise AI integration, Azure AI / Azure OpenAI, Power BI, Docker / CI/CD pipelines.