AI Engineer Internee

Elexoft Technologies is seeking a motivated and passionate AI Engineer Intern to join their Artificial Intelligence and Software Development team. This full-time internship offers a valuable opportunity for talented fresh graduates to gain hands-on experience working on real-world AI projects. The role involves developing practical engineering skills while collaborating with an experienced software development team. Successful candidates who demonstrate strong performance, technical growth, and meaningful contributions may be considered for permanent employment as an AI Engineer. This position requires on-site presence and is ideal for individuals eager to learn, experiment with emerging AI technologies, and transform AI concepts into production-ready solutions.

Key Responsibilities
- Develop and integrate AI-powered features into web and mobile applications.
- Work extensively with Large Language Models (LLMs), OpenAI APIs, and other AI platforms.
- Build AI chatbots, AI agents, Retrieval-Augmented Generation (RAG) systems, and intelligent automation workflows.
- Explore and utilize frameworks and tools such as LangChain, LangGraph, CrewAI, and Hugging Face.
- Use Python and AI/ML libraries to develop, test, and optimize AI solutions.
- Integrate AI models with REST APIs, databases, and existing software systems.
- Work with vector databases and embedding models for semantic search and knowledge retrieval.
- Research new AI technologies and assess their applicability for practical projects.
- Collaborate with developers to implement, debug, and optimize AI-powered applications.
- Write clean, maintainable code and document technical implementations thoroughly.

Required Qualifications
- Basic to intermediate proficiency in Python programming.
- Understanding of APIs, JSON, HTTP requests, and backend fundamentals.
- Foundational knowledge of Artificial Intelligence, Machine Learning, and Large Language Models.
- Familiarity with Git/GitHub and core software development practices.
- Strong problem-solving skills and the ability to learn independently.
- Genuine interest in building practical AI applications and solutions.

Preferred Qualifications and Benefits
- Experience working with OpenAI APIs or other LLM providers.
- Familiarity with AI frameworks such as LangChain, LangGraph, or similar tools.
- Basic understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, and prompt engineering.
- Exposure to Python backend frameworks like FastAPI or Flask.
- Knowledge of databases such as PostgreSQL, MongoDB, or Supabase.
- Experience with AI agents, workflow automation, or model deployment is a plus.

Candidates are not expected to have expertise in every listed technology. A strong foundation, practical project experience, and a willingness to learn are valued more than an extensive technical skill set.

This opportunity is ideal for fresh graduates in Computer Science, Software Engineering, Artificial Intelligence, or related fields. Final-year students with relevant availability and self-taught developers who have worked on practical AI projects are encouraged to apply. Candidates who have built AI chatbots, automation tools, API integrations, or other AI-based applications will find this role particularly suitable.

We highly value practical skills, curiosity, consistency, and the ability to turn innovative ideas into working AI solutions. Applicants are encouraged to submit their CV along with links to GitHub profiles, portfolios, or AI projects they have developed. Academic projects and personal experiments are also welcomed for candidates without professional experience.