Position : GenAI Lead/Architect

Experience : 5+ Years

Job Summary :

We are seeking a seasoned GenAI Lead/Architect with a minimum of 5+ years of professional experience. The ideal candidate will be a hands-on leader, responsible for designing and building scalable, production-grade Generative AI applications. This role requires deep expertise in Python and FastAPI for backend development, coupled with a strong command of AWS cloud services to deploy and manage robust and resilient AI systems. You will play a crucial role in shaping our GenAI strategy, from architectural design to implementation.

Key Responsibilities :

- Architectural Design & Strategy : Lead the design and implementation of end-to-end GenAI system architectures. You will be responsible for creating scalable, secure, and cost-effective solutions that leverage both proprietary and open-source models.

- Application Development : Build and deploy scalable Generative AI applications using Python and the FastAPI framework. This includes developing high-performance RESTful APIs and microservices for seamless integration.

- Model Integration & Optimization : Select, integrate, and fine-tune various GenAI models (LLMs, Vision models, etc.) into new and existing applications. You will be responsible for optimizing model performance and managing inference costs.

- Cloud Infrastructure Management : Utilize AWS cloud services to deploy, manage, and scale GenAI applications. This includes configuring services for data pipelines, model hosting, and application security.

- Team Leadership : Act as a technical leader, guiding junior developers, conducting thorough code reviews, and establishing best practices for development, testing, and deployment.

Required Skills & Qualifications :

- A minimum of 5+ years of experience in software development or machine learning engineering.

- Proven experience in designing and building scalable applications with Python.

- Strong expertise with the FastAPI framework for building robust APIs.

- Hands-on experience with AWS cloud services for deploying and managing applications.

- A solid understanding of Generative AI principles and a strong background in working with Large Language Models (LLMs).

- Experience with building and deploying applications in a production environment.

Preferred Skills :

- Experience with LLM frameworks such as LangChain or LlamaIndex.

- Knowledge of specific AWS AI/ML services like Amazon SageMaker, Amazon Bedrock, or Amazon EKS for containerized workloads.

- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.

- Experience with other cloud platforms like Azure or GCP.

- A background in machine learning operations (MLOps).