We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, and Generative AI frameworks, along with proven expertise in building scalable AI applications for enterprise use cases.
This role focuses on developing agentic AI systems, retrieval-augmented generation (RAG), and multi modal AI solutions while integrating GenAI capabilities into production-grade applications and workflows.
Design and deliver scalable, production-ready Generative AI solutions that leverage modern LLMs, agentic frameworks, and cloud AI platforms to power intelligent applications across the enterprise.
Design and implement Generative AI models for:
Text-based applications
Image-based applications
Multimodal AI solutions
Develop and optimize prompt engineering strategies to improve LLM performance and reliability
Build and integrate embedding-based retrieval systems and RAG pipelines
Integrate Generative AI capabilities into web applications and enterprise workflows
Design and develop agentic AI applications with:
Context management
Session and memory handling
MCP (Model Context Protocol) tools
Collaborate with cross-functional teams to deploy AI solutions at scale
Ensure AI solutions are reliable, secure, and production-ready
Strong proficiency in Python
Solid experience with AI/ML frameworks such as:
PyTorch
TensorFlow
Hands-on experience building multi-agent systems, including:
Session management
Memory handling
MCP tools
Practical experience working with:
Large Language Models (LLMs)
Transformer architectures
Hugging Face ecosystem
Knowledge and experience with:
Vector databases
Retrieval-Augmented Generation (RAG)
Semantic search techniques
Familiarity with cloud AI services, including:
AWS SageMaker
Azure OpenAI
GCP Vertex AI
Understanding of MLOps practices for scalable AI deployment
Knowledge of AI ethics, including:
Bias mitigation
Responsible AI practices
Experience designing AI systems with governance, transparency, and compliance in mind
