Artificial Intelligence Engineer

Job Description : AI/ML, Python

Role Overview

The AI Engineer focuses on developing and enhancing AI capabilities under the guidance of senior engineers and architects.

Key Responsibilities

• Develop AI features using AWS Bedrock.
• Implement Python-based services and utilities.
• Build prompt flows and agent tools.
• Integrate AI services with upstream/downstream systems.
• Write clean, testable, and reusable code.
• Support unit testing and bug fixes.
• Participate in code reviews and sprint deliveries.

Key Skill Set

• AWS Bedrock fundamentals
• AWS Neo, prompt engineering
• Strong Python fundamentals
• EST APIs and integration patterns
• Basic understanding of multi agent workflows

Gen AI/Agentic AI -Python, RAG, Prompt Engg.

• Hands-on experience in Data Science, AI/ML, and Deep Learning (DL) domains
• Practical exposure to Generative AI (GenAI) and DL frameworks
• Strong programming skills in Python and experience with Linux/Windows environments
• Proficiency with common data science toolkits:TensorFlow, Keras, PyTorch, Pandas, NumPy, etc.
• Familiarity with GenAI frameworks: LangChain, LlamaIndex, LangGraph, CrewAI, NeMo Agent Toolkit, NAT
• Knowledge of DL & GenAI algorithms: Transformers, CNN, RNN, etc.
• Experience with NLP, Large Language Models (LLMs), and Multimodal Language Models like:GPT, LLaMa, Mistral, Qwen, Nemotron, etc.
• Hands-on experience with Cloud platforms:Azure, AWS, or GCP
• Familiarity with Git, Docker, and Kubernetes
• Strong problem-solving skills.