Senior Python Developer (Voice AI Platform) - India

Checkmate; India; Remote; INR 71,04,000 - 1,06,58,000; Full time

Job summary

A leading AI technology firm in India is looking for a seasoned Python engineer to build a real-time voice AI platform. You will architect resilient systems, collaborate with ML/Product teams, and ensure high performance and reliability. Ideal candidates should have 5+ years of Python experience, a solid understanding of databases, and a mindset focused on observability. Flexibility to work US hours required.

Qualifications

• 5+ years of experience in Python and production systems.
• Knowledge of data modeling, queries, and ORM best practices.
• Experience with streaming and resilient design for networks.

Responsibilities

• Architect and build the conversation orchestration service.
• Write robust, asynchronous Python code for high concurrency.
• Design and maintain clean APIs for scalability.

Skills

Deep Python expertise

Database fundamentals

Networking & I/O

Testing discipline

Observability mindset

Production readiness

Job description

We are developing a real-time voice AI platform that combines speech recognition, LLM-driven reasoning, and natural-sounding text-to-speech capabilities. This is production-grade software designed to run continuously, scale under heavy load, and deliver human-like conversations with minimal latency.

If you are a seasoned Python engineer who thrives on building resilient systems and solving tough concurrency challenges, this is the role for you.

What You’ll Do/Essential Job Functions

• Architect and build the conversation orchestration service: ASR → LLM inference → TTS streaming in real time
• Write robust, asynchronous Python code designed to handle high concurrency without deadlocks, race conditions, or memory leaks
• Design and maintain clean, well-structured APIs for future scalability and ease of debugging
• Manage interaction data using SQLAlchemy (or equivalent) with efficient schema design and safe migrations
• Implement observability: structured logging, metrics, and tracing across the system for instant issue diagnosis
• Partner with ML and Product teams to rapidly iterate on conversation flow and user experience
• Enforce a strong testing culture: automated unit tests, E2E flows, and load testing
• Build resilient systems capable of handling real-world edge cases like noisy audio, unreliable APIs, and flaky networks
• Continuously profile, optimize, and reduce latency and response times

What We Expect You To Know/Requirement

• Deep Python expertise: 5+ years in Python, production systems experience required, context managers, generators, event loops, GIL, and effective use of asyncio
• Database fundamentals: data modeling, efficient queries, ORM best practices
• Networking & I/O: streaming, backpressure, and resilient design for unreliable networks
• Testing discipline: delivering production-ready, validated code
• Observability mindset: metrics, logs, and traces are integral to your coding process
• Production readiness: You’ve built and supported systems running live at scale.

What You’re Like

• Curious: You don’t just fix bugs — you find root causes
• Calm under pressure: You can diagnose incidents, resolve them quickly, and prevent recurrences
• Pragmatic: You solve problems without over-engineering
• Collaborative: You write code for your teammates and your future self
• Quality-driven: You refuse to compromise on correctness and reliability
• Data-informed: You make decisions based on real latency metrics, throughput, and error rates

This is not a feature-factory role. You will be responsible for building a real-time system that stays online, hits latency targets, and performs reliably under pressure.

Team Culture

• Direct, collaborative, and low on politics
• High ownership: see your work running in production, serving real users
• Obsessed with clarity, correctness, and reliability
• Fast-moving: minimal ceremony, maximum impact
• Pragmatic planning: no endless poker sessions — scope, assign, design, deploy.

Your daily work will include:

• Ensure performance, reliability, and observability in everything you build
• Collaborate closely with ML and product teams on speech recognition, TTS voices, and LLM behavior.
• Monitor, debug, and improve the system as it runs in production.

Working Terms: The candidate must be flexible and work during US hours at least until 6 PM ET, which is essential for this role & must have their own system/work setup for remote work.