This is a high-impact role that serves as the technical backbone of our company. We are looking for a proactive leader who will bridge the gap between cutting-edge Artificial Intelligence, robust software architecture, data engineering, and seamless DevOps. You will be responsible for shaping our entire technical strategy, taking ownership of complex Al products from ideation to deployment, and guiding our engineering team to success.

Who We Are Looking For :

We need a versatile tech expert and a natural leader. The ideal candidate is someone who can effortlessly design scalable architectures, deploy advanced machine learning models, and handle a team of developers like a pro. You should be deeply hands-on with technology while possessing the clarity to mentor others and drive engineering excellence.

Key Details :

- Experience Required : Minimum 4 to 5 years of hands-on experience in AI/ML, software architecture, and team handling.

What You Will Do :

- Drive Al Solutions : Architect, fine-tune, and deploy Generative Al applications, including Large Language Models (LLMs), Text-to-Speech, and Image Generation systems (like SDXL and ComfyUI). Build smart, multi-agent workflows using frameworks like LangGraph and DSPY.

- Lead Software Architecture : Design scalable, real-time backend systems using technologies like FastAPI, Django, and Node.js. Ensure smooth integrations between complex Al features and full-stack web applications (including React/Next.js).

- Master DevOps & MLOps : Take full control of cloud deployments across AWS, Azure, or GCP. Build highly efficient CI/CD pipelines (e.g., Jenkins) and optimize containerized environments using Docker, ensuring fast and cost-effective Al inference.

- Manage Data Engineering : Design end-to-end data pipelines. Handle data scraping, automation, and integrations with databases like PostgreSQL, ElasticSearch, and vector databases (e.g., Qdrant).

- Team Leadership : Seamlessly manage, mentor, and direct a team of engineers, ensuring high-quality code, timely project delivery, and a collaborative work environment.

Core Skills You Must Have :

- Top-tier expertise (5/5) in Generative AI, MLOps, and AI/ML Development.

- Strong command over Python ecosystems (PyTorch, Transformers, Scikit-Learn).

- Proven ability in Data Engineering, web scraping, and transforming semi-structured data.

- Deep practical knowledge of Cloud Technologies and DevOps, including dramatically optimizing Docker images and serverless deployments