
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

About Quantiphi
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.
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Role & Responsibilities:
We are seeking a Software Developer with 2-10 year’s experience with strong foundations in Python, databases, and AI technologies. The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows. This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.
Key Responsibilities
• Develop, test, and maintain Python-based applications and APIs.
• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.
• Work with JSON-based data structures for request/response handling. • Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.
• Collaborate with the product and AI teams to implement new features. • Debug, troubleshoot, and optimize performance of applications and workflows.
• Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.
Required Skills & Qualifications
• Strong knowledge of Python (scripting, APIs, data handling).
• Basic understanding of Large Language Models (LLMs) and prompt engineering techniques.
• Experience with JSON data parsing and transformations.
• Familiarity with PostgreSQL or other relational databases.
• Ability to write clean, maintainable, and well-documented code.
• Strong problem-solving skills and eagerness to learn.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
Nice-to-Have (Preferred)
• Exposure to AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
• Experience working in startups or fast-paced environments.
• Familiarity with version control (Git/GitHub) and cloud platforms (AWS, GCP, or Azure).
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www.opcito.com
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