Job Details:

Position                :                 Full Stack- Senior AI Engineer

Experience           :                7+ Years

Location               :                 Noida/Gurgaon/Bangalore/Pune

Shift                      :                 1:30PM to 11:30PM (10 Hours Shift. Also depends on the project/work dependencies)

Working Days- 5 days

Senior AI Engineer

We are looking for a Senior Developer with a strong startup mindset who can design, build, and scale modern cloud-native applications, especially in AI-driven voice and multimodal systems.

You will work on cutting-edge solutions involving speech AI, real-time communication, and LLM-based architecture while ensuring high performance, reliability, and scalability.

Key Responsibilities

• Design and develop scalable, cloud-native applications on GCP

• Build and manage secure APIs using OAuth and modern authentication practices

• Develop high-performance backend systems using Node.js/NestJS/Python/Java

• Create and maintain CI/CD pipelines for automated deployment and delivery

• Containerize and orchestrate applications using Docker and Kubernetes

• Work with real-time platforms like LiveKit / Pipecat for voice-based applications

• Integrate and optimize Speech AI systems (STT, TTS, VAD)

• Build and deploy RAG / Multimodal RAG pipelines using modern frameworks

• Implement observability using tools like Phoenix for LLM tracing and monitoring

• Collaborate with cross-functional teams to deliver production-grade solutions

• Ensure code quality, performance optimization, and system scalability

Required Skills

Core Engineering

Strong experience with Google Cloud Platform (GCP) / DSA/Git/ Docker/ Kubernetes /CI/CD pipelines

Application Development

Experience designing RESTful and event-driven architecture

Node.js/NestJS/Python/Java/React.js

Databases

PostgreSQL / MySQL/MongoDB/Firestore / BigQuery / Redis (caching & performance optimization)

AI / LLM / Voice Systems

Experience or exposure to Speech services (STT, TTS, VAD models)/Google ADK / LangGraph/RAG/

Multimodal RAG systems/Observability tools (Phoenix)/ GECX(Gemini Enterprise for CX)

Preferred Qualifications

• Experience building real-time communication systems (WebRTC, streaming pipelines)

• Exposure to LLM orchestration and prompt pipelines

• Experience in high-scale systems (low latency, high concurrency)

• Prior work in a startup or fast-paced product environment

What We’re Looking For

• Strong ownership mindset – you build, own, and scale what you create

• Ability to work independently and take initiative

• Passion for building scalable systems from scratch

• Strong problem-solving and debugging skills

• Clear communication and collaboration skills

Nice to Have

• Experience with contact center platforms (Genesys, Amazon Connect, etc.)

• Exposure to low-latency streaming architecture

• Knowledge of security & compliance best practices

Job Details:

Position                :                 Full Stack- Senior AI Engineer

Experience           :                7+ Years

Location               :                 Noida/Gurgaon/Bangalore/Pune

Shift                      :                 1:30PM to 11:30PM (10 Hours Shift. Also depends on the project/work dependencies)

Working Days- 5 days

Senior AI Engineer

We are looking for a Senior Developer with a strong startup mindset who can design, build, and scale modern cloud-native applications, especially in AI-driven voice and multimodal systems.

You will work on cutting-edge solutions involving speech AI, real-time communication, and LLM-based architecture while ensuring high performance, reliability, and scalability.

Key Responsibilities

• Design and develop scalable, cloud-native applications on GCP

• Build and manage secure APIs using OAuth and modern authentication practices

• Develop high-performance backend systems using Node.js/NestJS/Python/Java

• Create and maintain CI/CD pipelines for automated deployment and delivery

• Containerize and orchestrate applications using Docker and Kubernetes

• Work with real-time platforms like LiveKit / Pipecat for voice-based applications

• Integrate and optimize Speech AI systems (STT, TTS, VAD)

• Build and deploy RAG / Multimodal RAG pipelines using modern frameworks

• Implement observability using tools like Phoenix for LLM tracing and monitoring

• Collaborate with cross-functional teams to deliver production-grade solutions

• Ensure code quality, performance optimization, and system scalability

Required Skills

Core Engineering

Strong experience with Google Cloud Platform (GCP) / DSA/Git/ Docker/ Kubernetes /CI/CD pipelines

Application Development

Experience designing RESTful and event-driven architecture

Node.js/NestJS/Python/Java/React.js

Databases

PostgreSQL / MySQL/MongoDB/Firestore / BigQuery / Redis (caching & performance optimization)

AI / LLM / Voice Systems

Experience or exposure to Speech services (STT, TTS, VAD models)/Google ADK / LangGraph/RAG/

Multimodal RAG systems/Observability tools (Phoenix)/ GECX(Gemini Enterprise for CX)

Preferred Qualifications

• Experience building real-time communication systems (WebRTC, streaming pipelines)

• Exposure to LLM orchestration and prompt pipelines

• Experience in high-scale systems (low latency, high concurrency)

• Prior work in a startup or fast-paced product environment

What We’re Looking For

• Strong ownership mindset – you build, own, and scale what you create

• Ability to work independently and take initiative

• Passion for building scalable systems from scratch

• Strong problem-solving and debugging skills

• Clear communication and collaboration skills

Nice to Have

• Experience with contact center platforms (Genesys, Amazon Connect, etc.)

• Exposure to low-latency streaming architecture

• Knowledge of security & compliance best practices