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Senior Python Engineer / Backend Analytics & AI Architect

Garuda SpaceX Technologies
Remote

Quick apply

Job details

Permanent | Fresher | Full-time
₹1,60,446.92 - ₹5,67,232.34 a year
7 days ago

Benefits

Internet reimbursement
Work from home
Flexible schedule

Qualifications

Go
Law
Kubernetes
Ansible
NumPy
NoSQL
MongoDB
Master's degree
Pandas
OS Kernels
Database management
Machine learning
Routing protocols
Natural language processing
Telecommunication
AI
gRPC
Python

Full job description

Job Title: Senior Python Engineer / Backend Analytics & AI Architect

Location: Coimbatore, Tamil Nadu (Hybrid/Remote)

Job Type: Full-time

About the Project

We are building a massive, next-generation Multi-Tenant SaaS Spatio-Temporal Operating System. This is an "Operating System for Physical Reality"—a unified, real-time dispatch state machine that coordinates the physics of moving objects, whether that object is a food order, a freight truck, a taxi, or an emergency ambulance.

Our core infrastructure is a decoupled, ultra-low latency system hosted on our own high-density, bare-metal Dell PowerEdge R660xs servers running a local K3s cluster. The heavy-lifting transport physics are handled by a concurrent Golang meta-kernel, while the Python layer serves as the intellectual engine of the entire platform—powering our real-time algorithmic heuristics, unstructured data routing, telecommunications routing matrices, and conversational AI voice dispatch systems.

The Role & Key Responsibilities

Build the Heuristic Brain: Architect and maintain the asynchronous backend engine responsible for computing real-time valuation, dynamic surge pricing models, and spatial intercept algorithms.
Ingest High-Frequency Telemetry: Design high-throughput, non-blocking asynchronous data pipelines using asyncio and gRPC streaming to consume, sanitize, and process high-frequency location streams forwarded by the Go kernel.
Master the Unstructured Data Plane: Design the schema validation and document routing pipelines using MongoDB to elegantly process completely distinct payload structures across 20+ verticals (e.g., matching a restaurant food cart structure versus a medical prescription or a trucking freight manifest).
Pioneer Telecom & AI Voice Agents: Drive the engineering of our conversational AI dispatch module. You will orchestrate the integration of real-time telecom routing protocols (SIP/VoIP/Twilio) with machine learning pipelines (OpenAI Whisper, local LLM inference engines, and NLP parsers) to automatically translate live voice calls into structured dispatch tasks.
Lead with Guardrails: You will guide and mentor a team of two junior Python developers. Your job isn't to micro-manage their code, but to design strict architectural sandboxes, automated testing rules, and Pydantic validation boundaries so they can autonomously ship vertical business logic safely without slowing down the core event loop.

Technical Requirements (Must-Haves)

Experience: Minimum 9+ years of professional backend software engineering experience, with at least 7+ years of dedicated, production-grade mastery of Python.
Asyncio & Framework Mastery: Deep expertise in writing non-blocking, highly concurrent Python utilizing asyncio, FastAPI, or advanced task queue systems. You must know how to diagnose and prevent event-loop lag under massive traffic loads.
Algorithmic Data Engineering: Strong background in writing high-performance, vectorized code using tools like NumPy or Pandas, alongside geospatial manipulation libraries (e.g., Shapely, Fiona, GeoPandas, or H3 bindings).
Contract-Driven Development: Solid experience with Protocol Buffers (Protobuf), gRPC network routing, and strict structural data validation engines (Pydantic).
NoSQL Database Management: Proven experience designing high-scale MongoDB schemas, aggregation pipelines, and indexing patterns for highly dynamic, multi-tenant datasets.

Preferred Skills (Bonus)

Direct experience integrating telecommunications architecture (Asterisk, FreeSWITCH, WebRTC, or SIP trunking).
Practical experience fine-tuning, quantifying, or optimizing local machine learning model deployment pipelines (such as Whisper or local Llama/Mistral variants).
Familiarity with containerized development environments running natively on Kubernetes (K3s) or managed workflows with Ansible.

What We Offer

Total technical ownership over the intelligence and AI framework of a deeply complex, high-performance physical infrastructure engine.
An engineering-focused workspace built around elite bare-metal hardware and advanced system design.
A unique blend of high-math algorithmic challenges, deep systems integration, and cutting-edge conversational AI engineering.
Competitive compensation and a core role in directing the technical execution of a rapidly scaling multi-vertical platform.

Pay: ₹160,446.92 - ₹567,232.34 per year

Benefits:

Flexible schedule
Internet reimbursement
Work from home

Work Location: Remote

Quick apply

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