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Principal Full-Stack Software Engineer - AI Applications Job Opening In Greater Bengaluru Area – Now Hiring Mulya Technologies


Job description

Principal Full-Stack Software Engineer - AI Applications

Bangalore

Founded in 2023,by Industry veterans HQ in California,US

  • We are revolutionizing sustainable AI compute through intuitive software with composable silicon

Principal Full-Stack Software Engineer - AI Applications

Overview:

You will design and build end-to-end AI applications that bring multimodal large-model intelligence (text, image, audio, and video) to users directly through the browser - entirely locally on our AI appliance.

Your work will bridge high-performance inference systems with beautiful, intuitive user experiences that feel cloud-class but run offline with zero data sharing.

Key Responsibilities:

1.

End-to-End Application Development

  • Architect and develop browser-based interfaces that interact seamlessly with local inference APIs for LLMs, diffusion models, and speech/video pipelines.

  • Build intuitive UIs for multimodal interactions - chat with voice input, document upload, image generation, or video analysis - powered by local AI.

  • Develop backend services and REST/gRPC/WebSocket APIs that connect user interfaces with underlying ML inference engines.

2.

System Integration

  • Collaborate closely with ML and DevOps engineers to integrate optimized inference pipelines into user-facing apps.

  • Design real-time data flow between modalities (e.g., speech-to-text → LLM → image generation).

  • Handle efficient local caching, model loading, and concurrent request management for responsive UX.

3.

Performance & Scalability

  • Optimize front-end rendering and data transfer for sub-second multimodal interactions (e.g., token streaming, progressive rendering).

  • Implement asynchronous I/O and event-driven backends for high concurrency and low latency.

  • Profile and tune browser and backend performance under multimodal workloads.

4.

UX/UI for AI Interactions

  • Prototype and refine AI-native UI patterns (real-time chat streaming, voice controls, dynamic image panels, etc).

  • Collaborate with designers to make complex AI capabilities intuitive and accessible.

  • Conduct user testing and feedback loops to ensure the experience feels fast, private, and premium.

5.

Reliability, Security & Local Privacy

  • Implement strong sandboxing, local data storage, and access controls to ensure user data never leaves the appliance.

  • Maintain robust CI/CD pipelines for frequent local software updates.

  • Ensure fail-safe handling of multimodal data (e.g., secure local video/audio processing).

Required Qualifications:

  • 10+ years of experience in full-stack web application development.

  • Proficiency in modern front-end frameworks (React, Next.js, Svelte, or Vue) and TypeScript/JavaScript.

  • Strong backend experience in Python (FastAPI/Flask), Node.js, Go, or Rust.

  • Deep understanding of real-time web technologies - WebSockets, WebRTC, event streams, and async APIs.
  • Experience interfacing with AI/ML backends via REST or gRPC APIs.
  • Strong grounding in systems programming concepts - memory management, concurrency, and performance optimization.

  • Comfortable with Linux, Docker, and command-line tools for local development and deployment.

Preferred Qualifications:

  • Experience building apps that integrate LLMs, text-to-image, or speech models.

  • Familiarity with multimodal data handling - audio/video streaming, file parsing, camera/mic APIs.
  • Exposure to WebGPU, WebAssembly, or other browser-based acceleration techniques.

  • Understanding of edge or local-first architectures and offline data persistence.

  • Design sensitivity - ability to prototype clean, modern interfaces for AI interactions.


Contact:

Uday

Mulya Technologies

Mining The Knowledge Community

Required Skill Profession

Semiconductor Manufacturing,computer Hardware Manufacturing,software Development


  • Job Details

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Unlock Your Principal Full Potential: Insight & Career Growth Guide


Real-time Principal Full Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Principal Full in Greater Bengaluru Area, India, highlighting market share and opportunities for professionals in Principal Full roles.

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Are You Looking for Principal Full Stack Software Engineer AI Applications Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Mulya Technologies adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

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5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Greater Bengaluru Area. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Principal Full Stack Software Engineer AI Applications Job Success

Mulya Technologies interview tips for Principal Full Stack Software Engineer   AI Applications

Here are some tips to help you prepare for and ace your Principal Full Stack Software Engineer AI Applications job interview:

Before the Interview:

Research: Learn about the Mulya Technologies's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Principal Full Stack Software Engineer AI Applications interview at Mulya Technologies, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Mulya Technologies's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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