drjobs Gen AI lead with NET React Expertise

Gen AI lead with NET React Expertise

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1 Vacancy
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Job Location drjobs

Pune - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Role Overview: We are seeking a highly skilled and motivated Generative AI Lead to spearhead the design development and deployment of innovative Generative AI solutions. This role requires a unique blend of technical leadership handson development expertise across the full stack .NET backend React frontend) deep knowledge of cloud platforms (specifically Azure) and a strong foundation in Generative AI concepts and implementation. You will lead projects potentially mentor junior engineers and play a pivotal role in shaping our AI strategy and integrating Gen AI capabilities into our products and internal processes.

Key Responsibilities:

  1. Strategy & Innovation:
    • Identify and evaluate opportunities to leverage Generative AI (including LLMs RAG finetuning prompt engineering) to drive business value enhance user experiences and improve operational efficiency.
    • Stay abreast of the latest advancements in Gen AI .NET React and Azure technologies.
    • Contribute to the definition and of the companys AI roadmap.
  2. Technical Leadership & Architecture:
    • Lead the design and architecture of scalable secure and robust Gen AI solutions leveraging Azure cloud services (e.g. Azure OpenAI Azure ML Azure Functions App Service Cosmos DB/SQL DB).
    • Define best practices for Gen AI development deployment and monitoring within the context of our tech stack.
    • Provide technical guidance and mentorship to development teams working on AIrelated projects.
  3. FullStack Development & Implementation:
    • Lead the handson development of Gen AI features and applications including backend APIs and services using .NET (C# .NET Core/.NET 6.
    • Develop responsive and intuitive user interfaces using React (JavaScript/TypeScript state management libraries).
    • Implement and finetune Generative AI models integrate with relevant APIs (e.g. OpenAI Azure OpenAI) and build supporting infrastructure (e.g. vector databases orchestration frameworks like LangChain/LlamaIndex).
    • Ensure seamless integration of AI components with existing systems and platforms.
  4. Azure Cloud Deployment & Management:
    • Design and implement deployment strategies for AI models and applications on Azure utilizing CI/CD pipelines (Azure DevOps or similar).
    • Optimize solutions for performance cost scalability and reliability on Azure.
    • Implement monitoring logging and alerting for AI solutions in production.
  5. Collaboration & Communication:
    • Collaborate closely with product managers data scientists UX designers and other engineering teams to define requirements and deliver highquality solutions.
    • Clearly communicate complex technical concepts and project status updates to both technical and nontechnical stakeholders.
  6. Quality & Security:
    • Ensure high standards of code quality testing (unit integration endtoend) and documentation.
    • Implement security best practices for AI/ML systems and cloud applications.

Required Qualifications & Skills:

  • Bachelors or Masters degree in Computer Science Engineering AI Data Science or a related field (or equivalent practical experience).
  • Proven experience (e.g. 8 years) in software development with a significant portion focused on fullstack development.
  • Demonstrable experience (e.g. 2 years) in a technical leadership or lead engineer role.
  • Strong proficiency in .NET: Expertise in C# .NET Core/.NET 6 ASP Core for building robust backend services and APIs.
  • Strong proficiency in React: Expertise in modern JavaScript/TypeScript state management (e.g. Redux Zustand) HTML5 CSS3 for building modern web UIs.
  • Deep understanding and handson experience with Generative AI:
    • Solid grasp of foundational concepts (LLMs transformers embeddings prompt engineering RAG finetuning).
    • Experience implementing solutions using major LLMs/platforms (e.g. GPT models via OpenAI or Azure OpenAI Cohere Anthropic opensource models).
    • Experience with Gen AI frameworks/libraries (e.g. LangChain LlamaIndex Semantic Kernel).
  • Proven experience with Microsoft Azure:
    • Handson experience with Azure AI services (Azure OpenAI Service Azure Machine Learning).
    • Experience with Azure compute (App Service Functions AKS) storage (Blob Storage Cosmos DB Azure SQL) and networking services.
    • Experience with Azure DevOps for CI/CD.
  • Experience designing and building scalable cloudnative distributed systems.
  • Excellent problemsolving analytical and criticalthinking skills.
  • Strong communication and interpersonal skills with the ability tolead and collaborate effectively.

Preferred Qualifications:

  • Experience with Python for AI/ML tasks.
  • Experience with vector databases (e.g. Azure Cognitive Search Vector Search Pinecone Weaviate).
  • Experience with MLOps principles and tools on Azure.
  • Understanding of data engineering concepts (ETL data pipelines).
  • Familiarity with containerization technologies (Docker Kubernetes).
  • Knowledge of security best practices for AI/ML and cloud applications.
  • Experience working in Agile/Scrum development environments.
  • Relevant Azure certifications (e.g. AI Engineer Associate Solutions Architect Expert).

Employment Type

Full-Time

Company Industry

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