Lead AI Engineer

Key Responsibilities

- Architect and develop Agentic AI multi-agent systems and advanced
Computer Vision solutions.
- Build AI applications using LangGraph CrewAI AutoGen LLMs VLMs
YOLO SAM and multimodal models.
- Develop scalable solutions for object detection segmentation video
intelligence visual reasoning and AI agents.
- Integrate AI systems with APIs databases enterprise applications
and MCP.
- Optimize and deploy AI models across cloud and edge environments
using Docker Kubernetes ONNX TensorRT etc.
- Implement MLOps monitoring evaluation model optimization and
continuous improvement.
- Lead and collaborate React Angular Flutter
and other engineering teams.
- Take AI initiatives from concept to production and build reusable AI
solutions across projects.
Required Skills
- Expert Python with strong experience in PyTorch/OpenCV.
- Strong knowledge of Agentic AI LLMs RAG prompt engineering and
multi-agent frameworks.
- Strong Computer Vision experience with YOLO SAM ViT VLMs and
multimodal AI.
- Experience with OpenAI Anthropic Llama Qwen Gemini LLaVA or
similar models.
- Knowledge of MCP vector databases model optimization and AI
deployment.
- Experience with Docker Kubernetes MLOps and production AI
systems.
- Strong leadership and problem-solving skills with experience taking
AI projects from zero to production.

Benefits:
- Lead innovative Agentic AI Computer Vision initiatives.
- Work with a strong cross-functional engineering team.
- Build scalable AI solutions for real-world enterprise and client
applications.

How to Apply

Send resumes to

Required Skills: