NexusIQ Solutions | GenAI Architect
2 days ago
Title: GenAI FullStack Architect
Position: Contract
Location: Remote
Start Date: Immediate
We are seeking a highly skilled and experienced GenAI Architect with a strong background in Full-Stack Development to join our team. The ideal candidate will play a pivotal role in designing, developing, and deploying cutting-edge Generative AI solutions while leveraging full-stack expertise to ensure seamless integration into enterprise systems. This is an excellent opportunity for a passionate technologist to lead AI-driven innovations that deliver significant business value.
Responsibilities:
- Design and implement scalable Generative AI solutions leveraging models such as GPT, DALL-E, Whisper, and other advanced LLMs.
- Evaluate and fine-tune pre-trained models to meet business requirements.
- Architect solutions for Natural Language Processing (NLP), computer vision, and multimodal AI applications.
- Integrate AI/ML pipelines with MLOps practices for efficient model lifecycle management.
- Lead the end-to-end development of AI-enabled platforms, encompassing both frontend and backend architectures.
- Develop APIs and microservices to integrate Generative AI functionalities with enterprise systems.
- Build intuitive user interfaces and dashboards for end-user interaction with AI models.
- Optimize system performance, ensuring responsiveness and scalability.
- Integrate Generative AI models into enterprise ecosystems using cloud platforms like AWS, Azure, or GCP.
- Leverage containerization and orchestration technologies like Docker and Kubernetes for deployment.
- Ensure seamless integration with databases, data pipelines, and third-party applications.
- Work closely with product managers, data scientists, and engineering teams to define technical requirements and deliverables.
- Mentor junior engineers and establish best practices in AI model development, deployment, and full-stack engineering.
- Collaborate with stakeholders to identify opportunities for Generative AI to solve complex business challenges.
- Ensure all AI applications adhere to enterprise security, data privacy, and regulatory compliance standards.
- Implement secure authentication and authorization mechanisms for AI-powered platforms.
Requirements:
- A minimum of 8+ years in software development, with at least 3 years in AI/ML and full-stack development.
- Proven experience in architecting and deploying Generative AI solutions using frameworks like PyTorch, TensorFlow, or Hugging Face.
- Strong proficiency in frontend technologies (React, Angular, or Vue.js) and backend development (Node.js, Python, or Java).
- Hands-on experience with RESTful APIs, GraphQL, and microservices architecture.
- Knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cosmos DB, etc.).
- Experience with CI/CD pipelines and DevOps practices.
- Proficiency in cloud services: Azure AI Services, AWS SageMaker, or Google Vertex AI.
- Exceptional problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work in an agile environment and manage multiple priorities.
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