Artificial Intelligence Engineer

Role Summary: 

We are seeking a highly skilled and hands-on AI/ML Engineer with 1+ years of experience in design, development, and deployment of cutting-edge generative AI solutions integrated with robust data engineering practices. The ideal candidate will work across our AI initiatives, including NLP, deep learning, and end-to-end ML/data pipelines 

Key Responsibilities 

● AI/ML Architecture & Development 

○ Implement and deploy machine learning models in production environments

○ Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs)

○ Apply prompt engineering and retrieval-augmented generation (RAG) techniques

○ Build end-to-end ML workflows from data preprocessing to model evaluation

○ Contribute to the development of conversational AI solutions 

● Software Engineering & Data Pipeline Development 

○ Design, build, and maintain data pipelines and end-to-end ML workflows.

○ Build and deploy web services that integrate ML models 

○ Implement APIs using frameworks like FastAPI or Flask 

○ Work with databases (preferably MySql) and data processing tools 

○ Ensure code quality, performance, and security in all implementations 

● Deployment & Integration 

○ Build production-grade ML models and APIs and deploy them on cloud platforms with the help of DevOps team. 

○ Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team 

● Collaboration 

○ Work closely with cross-functional teams including data scientists and software engineers 

○ Contribute to a culture of learning and innovation 

○ Adapt to challenges even when requirements are ambiguous Technical Requirements 

● Programming & Frameworks: 

○ Strong proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem. 

○ Experience with data science tools (pandas, NumPymatplotlib, scikit-learn)

● Generative AI Expertise: 

○ Knowledge of generative AI models and frameworks, including OpenAI APIs, LangChain, LangGraph, Hugging Face Transformers, and related technologies.

○ Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar. 

○ Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval, processing, and response generation. 

● API Development: 

○ Experience in developing and deploying APIs using frameworks like FastAPI or Flask.

 Qualifications : 

● Bachelor’s degree in Computer Science, Engineering or related field. 

● 3 years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering. 

● Excellent problem-solving, analytical, and communication skills. 

● Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams.