: 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
- Solid problem-solving skills.

📌 Artificial Intelligence Engineer (Chennai)
🏢 LTM
📍 Chennai