RAG Architect

Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Software Test Engineering

General Summary:

Job description

We are seeking an experienced AI Architect to design, develop, and deploy Retrieval-Augmented Generation (RAG) solutions for Qualcomm Cloud AI Platforms. 

Roles and Responsibilities
 

•  Lead the design and development of applications for RAG AI models and provide APIs for frontend consumption. Manage the interaction between retrieval-augmented techniques and generative models.
•  Build services that connect AI models (e.g., transformers, embeddings, and vector search) to handle tasks such as query retrieval, model inference, and generating responses. Leverage frameworks like Flask, FastAPI, or Django for API development.
• Design pipelines to preprocess, clean, and prepare data for AI model training, as well as for serving the models in production environments. Optimize these pipelines to support both batch and real-time data processing. Implement RESTful APIs or GraphQL endpoints for seamless frontend-backend interaction.
• Implement cloud solutions to host Python-based services, ensuring that AI models are scalable and that the infrastructure can handle high traffic. Leverage containerization (Docker) and orchestration (Kubernetes) for model deployment and management.
•  Set up monitoring, logging, and alerting for Python backend services, ensuring smooth operation of AI features. Use tools like Prometheus, Grafana, and ELK stack for real-time performance tracking.
• Continuously optimize model performance by fine-tuning and adapting Python-based AI models for real-time use cases. Manage trade-offs between computation load, response time, and quality of generated content.
• Partner with data scientists, machine learning engineers, and mobile/web developers to ensure tight integration between AI models, mobile/web front-end, and backend infrastructure.

- Experience:

• 13+ years of overall SW development experience
• 10+ years  Strong experience in working with technologies  (e.g., React, React Native, Flutter, Django, Flask, FastAPI).
•  5+ years of experience in building AI applications with a focus on NLP, machine learning, generative models, and retrieval-augmented systems.
•   Proven experience in designing and deploying AI systems that integrate retrieval-based techniques (e.g., FAISS, Weaviate) and generative models (e.g., GPT, BERT).
    - Expertise in cloud platforms (e.g., AWS, GCP, Azure) and deployment of Python-based microservices.
•  Building RESTful APIs or GraphQL services (using frameworks like Flask, FastAPI, or Django).
•  Handling AI model inference and data processing (using libraries like NumPy, Pandas, TensorFlow, PyTorch, and Hugging Face Transformers).
•  Integrating vector search solutions (e.g., FAISS, Pinecone, Weaviate) with the AI models for efficient retrieval-augmented generation.  - Experience with containerization (Docker) and Kubernetes for deploying scalable Python-based services.
•  Proficient in cloud infrastructure management, with a focus on managing Python services in the cloud.
• Experience in End-to-End product development and Software Lifecycle

Key Skills:
  

• Advanced proficiency in Python for building backend services and data processing pipelines. Familiarity with frameworks like Flask, Django, and FastAPI.
    Experience with AI libraries and frameworks (TensorFlow, PyTorch, Hugging Face Transformers).
• Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) and integration with retrieval-augmented systems.
•  Strong knowledge of RESTful API design, GraphQL, and API security best practices (e.g., OAuth, JWT).
• Excellent problem-solving abilities and a strong focus on creating highly scalable and performant solutions.
•  Strong communication skills, with the ability to collaborate across different teams and geography
• Ability to mentor junior team members and lead technical discussions.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Test Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Test Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Test Engineering or related work experience.

• 2+ year of work experience with Software Test or System Test, developing and automating test plans, and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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