NexusIQ Solutions | GenAI Architect

3 days ago

Delhi, India NexusIQ Solutions Full time
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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