Senior Software Engineer

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About Darwix AI

Darwix AI is one of India’s fastest-growing AI startups, transforming enterprise sales with our GenAI-powered conversational intelligence and real-time agent assist suite. Our platform is used by high-growth enterprises across India, MENA, and Southeast Asia to improve sales productivity, personalize customer conversations, and unlock revenue intelligence in real-time.

We are backed by marquee VCs, 30+ angel investors, and led by alumni from IITs, IIMs, and BITS with deep experience in building and scaling products from India for the world.

Role Overview

Senior Python Developer

This role requires deep technical expertise in Python, a strong foundation in backend architecture, and the ability to collaborate closely with AI, product, and infrastructure teams. You will take ownership of critical backend modules and shape the engineering culture in a rapidly evolving, high-impact environment.

Key Responsibilities

System Architecture & API Development

• Design, implement, and optimize backend services and microservices using Python frameworks such as

  FastAPI, Django, or Flask

• Lead the development of scalable

  RESTful APIs

  that integrate with frontend, mobile, and AI systems
• Architect low-latency, fault-tolerant services supporting real-time sales analytics and AI inference

Data Pipelines & Integrations

• Build and optimize

  ETL pipelines

  to manage structured and unstructured data from internal and third-party sources
• Integrate APIs with

  CRMs, telephony systems, transcription engines,

  and enterprise platforms like Salesforce, Zoho, and LeadSquared
• Lead scraping and data ingestion efforts from large-scale, dynamic web sources using

  Playwright, BeautifulSoup, or Scrapy

AI/ML Enablement

• Work closely with AI engineers to build infrastructure for

  LLM/RAG pipelines

  ,

  vector DBs

  , and

  real-time AI decisioning

• Implement backend support for

  prompt orchestration

  ,

  Langchain flows

  , and

  function-calling interfaces

• Support model deployment, inference APIs, and logging/monitoring for large-scale GenAI pipelines

Database & Storage Design

• Optimize database design and queries using

  MySQL

  ,

  PostgreSQL

  , and

  MongoDB

• Architect and manage

  Redis

  and

  Kafka

  for caching, queueing, and real-time communication

DevOps & Quality

• Ensure continuous delivery through version control (Git), CI/CD pipelines, testing frameworks, and Docker-based deployments
• Identify and resolve bottlenecks related to performance, memory, or data throughput
• Adhere to best practices in code quality, testing, security, and documentation

Leadership & Collaboration

• Mentor junior developers and participate in code reviews
• Collaborate cross-functionally with product, AI, design, and sales engineering teams
• Contribute to architectural decisions, roadmap planning, and scaling strategies

Qualifications

• 4–8 years of backend development experience

  in Python, with a deep understanding of object-oriented and functional programming
• Hands-on experience with

  FastAPI

  ,

  Django

  , or

  Flask

  in production environments
• Proven experience building scalable microservices, data pipelines, and backend systems that support live applications
• Strong command over

  REST API architecture

  , database optimization, and data modeling
• Solid experience working with

  web scraping tools

  , automation frameworks, and external API integrations
• Knowledge of AI tools like

  Langchain

  ,

  HuggingFace

  ,

  Vector DBs (Pinecone, Weaviate, FAISS)

  , or

  RAG architectures

  is a strong plus
• Familiarity with

  cloud infrastructure (AWS/GCP)

  , Docker, and containerized deployments
• Comfortable working in fast-paced, high-ownership environments with shifting priorities and dynamic problem-solving