Junior AI Engineer

Junior AI Engineer — Job Description

Job Title: Junior AI Engineer
Experience: 0–2, machine learning, data processing, and modern AI technologies, with a willingness to learn and work-built projects demonstrating Python, ML, APIs, and preferably an LLM/RAG application can be particularly useful years
Employment Type: Full-time
Department: Artificial Intelligence / Machine Learning

Job Summary

We are looking for a Junior AI Engineer to help design, develop, test, and deploy AI/ML solutions. The ideal candidate should have a strong foundation in Python, machine learning, data processing, and modern AI technologies, with a willingness to learn and work on real-world AI applications.

Key Responsibilities

• Develop and maintain machine learning and AI models.
• Prepare, clean, and preprocess datasets for training and evaluation.
• Implement and evaluate supervised and unsupervised machine learning algorithms.
• Work with Generative AI, LLMs, embeddings, and RAG systems where applicable.
• Build prototypes and proof-of-concepts for AI-powered applications.
• Integrate AI/ML models into applications using APIs and backend services.
• Evaluate model performance and troubleshoot accuracy, latency, and reliability issues.
• Write clean, maintainable, and well-documented Python code.
• Collaborate with senior AI engineers, data scientists, software developers, and product teams.
• Conduct experiments and stay updated with developments in AI/ML.
• Assist with deploying and monitoring models in development and production environments.

Required Skills

• Strong knowledge of Python.
• Basic understanding of:
• Machine Learning
• Deep Learning
• Statistics and probability
• Data structures and algorithms
• Experience with libraries such as NumPy, Pandas, Scikit-learn, and preferably PyTorch or TensorFlow.
• Understanding of SQL and basic database concepts.
• Familiarity with Git and software development practices.
• Basic understanding of REST APIs and backend development.
• Good problem-solving and analytical skills.

Preferred Skills

• Experience with LLMs and Generative AI.
• Familiarity with LangChain, LlamaIndex, Hugging Face, or similar frameworks.
• Knowledge of embeddings and vector databases.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Docker and basic CI/CD.
• Understanding of model deployment and MLOps concepts.
• Experience working with OpenAI-compatible APIs or other LLM APIs.

Education

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Candidates with strong projects or equivalent practical experience may also be considered.

Pay: ₹180,000.00 - ₹240,000.00 per year

Benefits:

• Provident Fund

Work Location: In person