Artificial Intelligence Engineer

Job Description: AI Engineer (Junior / Associate Level)

Experience

13 Years

Location

On-Site

Job Type

Full-Time

About the Role

We are looking for a passionate and hands-on AI Developer with around 3 years of experience in building and deploying machine learning models and working with the latest AI tools and frameworks. You will be working closely with our data science and engineering teams to develop smart, scalable, and production-ready AI solutions.

Key Responsibilities

• Design, develop, test, and deploy machine learning models for classification, regression, recommendation, or NLP tasks.
• Work with state-of-the-art AI tools and libraries such as LangChain, Hugging Face, OpenAI, LlamaIndex, etc.
• Integrate Large Language Models (LLMs) into applications via APIs or custom fine-tuning.
• Build data pipelines for training and inference, ensuring model performance and robustness.
• Collaborate with software developers, product managers, and data engineers to turn AI models into usable products.
• Stay updated with the latest research and innovations in the AI/ML space and bring new ideas into development.
• Optimize model performance and scale AI solutions for production.

Required Skills & Experience

• Bachelor's or Masters degree in Computer Science, AI, Data Science, or a related field.
• 1–3 years of hands-on experience in machine learning and deep learning.
• Proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
• Good understanding of LLMs and experience working with platforms like OpenAI, Claude, Cohere, or Hugging Face Transformers.
• Experience in prompt engineering, fine-tuning, or using frameworks like LangChain, LlamaIndex, or Haystack.
• Exposure to cloud platforms (AWS, GCP, Azure) and tools like Docker, Git, CI/CD workflows.
• Strong analytical and problem-solving skills.
• Understanding of data preprocessing, feature engineering, and model evaluation techniques.

Good to Have

• Experience building AI chatbots or virtual assistants.
• Knowledge of Vector databases (e.g., Chroma, Pinecone, Weaviate).
• Familiarity with MLOps tools like MLflow, Kubeflow, Vertex AI, etc.
• Experience with RESTful APIs or microservices architecture.
• Participation in Kaggle competitions or open-source AI projects.

What We Offer

• Opportunity to work on real-world AI applications and products.
• A collaborative, learning-first environment.
• Exposure to enterprise-grade AI deployments and tools.
• Flexible working hours and remote work options.
• Competitive compensation and career growth path.