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Senior Backend Developer - Python & LLM Integration
Senior Backend Developer - Python & LLM Integration
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Senior Backend Developer - Python & LLM Integration

Nikita Sinha's profile picture
Posted by Nikita Sinha
7 - 10 yrs
Upto ₹40L / yr (Varies
)
Bengaluru (Bangalore)
Skills
skill iconPython
RESTful APIs
Microservices
skill iconMongoDB
pytest
Windows Azure

We are seeking a highly skilled Senior Backend Developer with deep expertise in Python and FastAPI to join our team. This role focuses on building high-performance, scalable backend services capable of handling high request volumes while integrating advanced LLM technologies.


The ideal candidate will design robust distributed systems, implement efficient data storage solutions, and ensure enterprise-grade security within an Azure-based infrastructure. This is a great opportunity to work on AI/ML integrations and mission-critical applications requiring high performance and reliability.


Key Responsibilities:


Backend Development

  • Design and maintain high-performance backend services using Python and FastAPI
  • Implement advanced FastAPI features such as dependency injection, middleware, and async programming
  • Write comprehensive unit tests using pytest
  • Design and maintain Pydantic schemas

High-Concurrency Systems

  • Implement asynchronous code for high-volume request processing
  • Apply concurrency patterns and atomic operations to ensure efficient system performance

Data & Storage

  • Optimize MongoDB operations
  • Implement Redis caching strategies (TTL, performance tuning, caching patterns)

Distributed Systems

  • Implement rate limiting, retry logic, failover mechanisms, and region routing
  • Build microservices and event-driven architectures
  • Work with EventHub, Blob Storage, and Databricks

AI/ML Integration

  • Integrate OpenAI API, Gemini API, and Claude API
  • Manage LLM integrations using LiteLLM
  • Optimize AI service usage within the Azure ecosystem

Security

  • Implement JWT authentication
  • Manage API keys and encryption protocols
  • Implement PII masking and data security mechanisms

Collaboration

  • Work with cross-functional teams on architecture and system design
  • Contribute to engineering best practices and technical improvements
  • Mentor junior developers where required

Must-Have Skills & Requirements

Experience

  • 7+ years of hands-on Python backend development
  • Bachelor’s degree in Computer Science, Engineering, or related field
  • Experience building high-traffic, scalable systems

Core Technical Skills

Python

  • Advanced knowledge of asynchronous programming, concurrency, and atomic operations

FastAPI

  • Expert-level experience with dependency injection, middleware, and async code

Testing

  • Strong experience with pytest and Pydantic schemas

Databases

  • Hands-on experience with MongoDB and Redis
  • Strong understanding of caching patterns, TTL, and performance optimization

Distributed Systems

  • Experience with rate limiting, retry logic, failover mechanisms, high concurrency processing, and region routing

Microservices

  • Experience building microservices and event-driven systems
  • Exposure to EventHub, Blob Storage, and Databricks

Cloud

  • Strong experience working in Azure environments

AI Integration

  • Familiarity with OpenAI API, Gemini API, Claude API, and LiteLLM

Security

  • Implementation experience with JWT authentication, API keys, encryption, and PII masking

Soft Skills

  • Strong problem-solving and debugging skills
  • Excellent communication and collaboration
  • Ability to manage multiple priorities
  • Detail-oriented approach to code quality
  • Experience mentoring junior developers

Good-to-Have Skills

Containerization

  • Docker, Kubernetes (preferably within Azure)

DevOps

  • CI/CD pipelines and automated deployment

Monitoring & Observability

  • Experience with Grafana, distributed tracing, custom metrics

Industry Experience

  • Experience in Insurance, Financial Services, or regulated industries

Advanced AI/ML

  • Vector databases
  • Similarity search optimization
  • LangChain / LangSmith

Data Processing

  • Real-time data processing and event streaming

Database Expertise

  • PostgreSQL with vector extensions
  • Advanced Redis clustering

Multi-Cloud

  • Experience with AWS or GCP alongside Azure

Performance Optimization

  • Advanced caching strategies
  • Backend performance tuning


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About Quantiphi

Founded :
2013
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.

Read more

Tech stack

Google Cloud Platform (GCP)
skill iconNodeJS (Node.js)
skill iconPython
Artificial Intelligence (AI)
MLOps

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Bengaluru, Mumbai, and Trivandrum

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Sameer Balpande

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