Junior AI Developer

Job Description

Job Description

Junior AI Developer Job Title

Junior AI Developer

We are looking for a motivated Junior AI Developer to join our AI and Machine Learning team. This role is ideal for recent graduates or early-career professionals who are passionate about artificial intelligence, machine learning, and software development. You will work with experienced engineers and researchers to develop, test, and deploy AI-powered applications, while gaining hands-on experience with modern AI technologies and best practices.

• Assist in designing, developing, and testing AI and machine learning models.

• Build and maintain AI-powered applications using Python and machine learning frameworks.

• Support data collection, preprocessing, feature engineering, and model evaluation.

• Implement and fine-tune machine learning and deep learning models under the guidance of senior team members.

• Develop applications using APIs for Large Language Models (LLMs) and Generative AI solutions.

• Assist in building Retrieval-Augmented Generation (RAG) applications and AI chatbots.

• Write clean, maintainable, and well-documented code following software engineering best practices.

• Debug, test, and optimize AI applications for performance and reliability.

• Collaborate with AI engineers, software developers, data scientists, and product teams.

• Stay updated on emerging AI, machine learning, and Generative AI technologies.

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.

• 0 2 years of experience in AI, machine learning, or software development (internships and academic projects are welcome).

• Good understanding of machine learning fundamentals and basic deep learning concepts.

• Proficiency in Python programming.

• Familiarity with machine learning libraries such as Scikit-learn, PyTorch, or TensorFlow.

• Basic knowledge of NLP, computer vision, or Generative AI concepts.

• Understanding of data structures, algorithms, and object-oriented programming.

• Familiarity with SQL and basic database concepts.

• Experience using Git for version control.

• Hands-on experience with LLM APIs such as OpenAI, Anthropic, or Google Gemini.

• Exposure to frameworks such as LangChain or LlamaIndex.

• Basic understanding of prompt engineering and Retrieval-Augmented Generation (RAG).

• Familiarity with Hugging Face Transformers.

• Experience with REST APIs and JSON.

• Knowledge of Docker and Linux fundamentals.

• Personal, academic, or open-source AI projects showcased on GitHub.

• Python

• SQL

• Scikit-learn

• PyTorch or TensorFlow

• Pandas

• NumPy

• Hugging Face Transformers (preferred)

• LangChain (preferred)

• Git

• Docker (basic)

• Linux (basic)

• REST APIs

• Strong problem-solving and analytical skills.

• Willingness to learn new AI technologies.

• Good communication and teamwork skills.

• Attention to detail and commitment to writing quality code.

• Ability to adapt in a fast-paced, collaborative environment.

• Internship experience in AI or software development.

• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.

• Exposure to vector databases and embeddings.

• Understanding of MLOps fundamentals and model deployment.

• Participation in hackathons, coding competitions, or AI research projects.

• Competitive salary and performance-based incentives.

• Mentorship from experienced AI engineers and researchers.

• Learning and certification opportunities.

• Flexible work arrangements.

• Collaborative and innovative work environment.

• Opportunity to work on real-world AI and Generative AI projects using modern technologies.