Full Stack- Senior AI Engineer
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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
Required
Preferred