Senior Software Engineer

BookMyMentor; Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

BookMyMentor is seeking a Senior Software Engineer to design and develop scalable systems for real-time voice interactions. The role emphasizes backend systems expertise with a focus on AI-driven workflows, demanding strong skills in Node.js and Python.

Join a team that values innovation and the application of cutting-edge technology to redefine customer interactions. Be part of a transformative project that involves working with Kubernetes and deploying high-performance systems.

Qualifications

• 3–7 years of strong backend engineering experience.
• Hands-on experience with Kubernetes, Docker, and real-time systems.
• Strong understanding of distributed systems and event-driven architectures.

Responsibilities

• Design and build low-latency backend systems for real-time voice interactions.
• Develop and optimize LLM orchestration pipelines.
• Deploy, scale, and manage services using Kubernetes.

Skills

Node.js

Python

Kubernetes

Docker

Distributed Systems

Low-latency Systems

ASR/TTS Systems

Debugging Skills

Event-driven Architectures

Job description

Senior Software Engineer

Mid Level (2-5 years)

Posted 6/6/2026

As a Software Engineer (3–7 years), you will be responsible for designing and building high-performance, scalable systems powering real-time conversational AI. This role requires a strong understanding of backend systems, distributed architecture, and performance optimization, along with exposure to AI-driven workflows. You will work across the full stack of voice AI systems - from speech input (ASR) to LLM processing and orchestration, to speech output (TTS) - ensuring seamless, low-latency interactions. A key part of your role will also involve deploying and managing services in a containerized, cloud-native environment using Kubernetes, ensuring scalability, resilience, and efficient resource utilization under high concurrency.

Key Responsibilities

• Designing and building low-latency backend systems for real-time voice interactions
• Developing and optimizing LLM orchestration pipelines (prompting, memory, tool usage, fallback handling)
• Integrating and improving ASR (speech-to-text) and TTS (text-to-speech) systems
• Handling high-concurrency workloads (hundreds to thousands of simultaneous voice sessions)
• Improving streaming responses and partial response delivery speed
• Deploying, scaling, and managing services using Kubernetes (K8s)
• Working with containerization (Docker) and cloud infrastructure (AWS/GCP/Azure)
• Building observability systems (logging, monitoring, tracing) for debugging AI pipelines
• Driving architectural decisions for scalability, fault tolerance, and performance

Requirements

• 3–7 years of strong backend engineering experience
• Expertise in Node.js and/or Python
• Strong understanding of distributed systems and event-driven architectures
• Hands-on experience with Kubernetes (deployment, scaling, monitoring)
• Experience with Docker and containerized environments
• Familiarity with LLMs (OpenAI or similar), prompt engineering, or AI pipelines
• Experience building real-time or low-latency systems
• Strong debugging and performance optimization skills
• Nice to Have: Experience with ASR/TTS systems.
• Nice to Have: Understanding of WebSockets, streaming architectures, or WebRTC
• Nice to Have: Experience handling latency-critical systems (<500ms response time)
• Nice to Have: Prior work on voice agents or conversational AI systems

Additional Highlights

• High-Impact Work: Work on a cutting-edge AI stack (LLM + ASR + TTS) powering real-time, human-like interactions in production.
• Ownership & Autonomy: Take high ownership with direct impact on product, architecture, and system performance.
• Engineering & Scale: Solve challenging real-time problems while building on cloud-native, Kubernetes-driven infrastructure in a fast-paced environment with a strong engineering culture.

About the Company

We’re on a mission to reinvent how enterprises talk to their customers. At Fundamento, we’re building voice agents that are transforming how India’s biggest lenders - like IIFL, Paytm, Hero FinCorp, Shriram Finance, and Jio Financial Services - talk to their customers. Backed by Google, led by experienced entrepreneurs (Harvard, Oxford, Booth Alumni), and trusted by the financial service giants, this is your chance to work at the heart of the AI revolution.