Gen AI

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
Robust problem-solving skills.

AI Engineer

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 Sets

Technical

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

2-5 years in Python / AI / backend development
Exposure to cloud-native development preferred

📌 AI/ML Engineer (Hyderabad)
🏢 LTM
📍 Hyderabad