AI Engineer

Role Overview

We are looking for a passionate AI Engineer with 6 months to 2 years of experience to develop, integrate, and deploy AI-powered solutions. The ideal candidate should have hands-on experience with Large Language Models (LLMs), Generative AI, machine learning, and Python. You will work closely with cross-functional teams to build intelligent applications and automate business processes.

Responsibilities

• Develop and implement AI/ML models and Generative AI solutions.
• Build AI-powered applications using OpenAI, Gemini, Claude, or similar LLMs.
• Design and optimize AI prompts for various business use cases.
• Integrate AI models with web applications and APIs.
• Work with Retrieval-Augmented Generation (RAG) and vector databases.
• Fine-tune AI models and improve model performance.
• Collaborate with software developers to integrate AI features into products.
• Research and evaluate new AI technologies and frameworks.
• Analyze datasets and prepare data for AI model training.
• Debug, test, and maintain AI applications.
• Create technical documentation for AI solutions.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
• 6 Months to 2 Years of experience in AI/ML or Python Development.
• Strong knowledge of Python.
• Basic understanding of Machine Learning and Deep Learning concepts.
• Hands-on experience with OpenAI API, Gemini API, Claude API, or similar AI platforms.
• Knowledge of LangChain, LlamaIndex, or AI orchestration frameworks.
• Familiarity with Prompt Engineering.
• Experience with REST APIs and API integrations.
• Understanding of Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.).
• Knowledge of Git/GitHub.

Skills

• Python
• LangChain
• Generative AI
• Vector Databases
• OpenAI API

Nice to Have

• Experience with TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of RAG (Retrieval-Augmented Generation).
• Experience with Hugging Face Transformers.
• Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of Docker and deployment concepts.
• Familiarity with SQL/NoSQL databases.

Benefits

• 5 Days Working
• Performance-Based Appraisal
• Paid Leaves
• Learning & Development Opportunities
• Work on Real-World AI Projects
• Friendly & Collaborative Work Environment
• Leave encashment
• Paid time off
• Provident Fund