Architect Software Developer at Quantiphi · Frederict…

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We’ve been recognized with:

• 17x Google Cloud Partner of the Year awards in the last 8 years.
• 3x AWS AI/ML award wins.
• 3x NVIDIA Partner of the Year titles.
• 2x Snowflake Partner of the Year awards.
• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

For more details, visit:Website orLinkedIn Page.

Role: Architect Software Developer

Experience Level: 10+ yrs

Work Location: Remote Canada

Role Overview:

We are seeking an Architect Software Developer to design and build intelligent, scalable applications powered by large language models and agentic workflows. This role will focus on developing backend services and AI-driven systems using modern Python frameworks and LLM orchestration tools.

The Architect Software Developer will be responsible for building and maintaining AI-powered services that support the Agentic platform. They will work closely with AI/ML engineers, product teams, and platform engineers to implement scalable backend services, integrate LLM orchestration frameworks, and enable seamless integration with enterprise systems. The ideal candidate has strong Python expertise, hands-on experience with LangChain and LangGraph, and a deep understanding of building production-grade AI applications. Experience with Java-based backend systems is considered a strong asset.

Key Responsibilities:

• Design, develop, and maintain scalable backend services and APIs that serve as the integration layer between AI-powered services and the main React/Java Spring Boot application.
• Build and maintain RESTful APIs that send and receive data to/from LLM providers, implementing proper error handling, streaming responses, and rate limiting.
• Build intelligent agent orchestration pipelines using LangChain, LangGraph, and related LLM frameworks.
• Develop microservices and async backend systems optimized for high throughput, reliability, and performance.
• Design and build integration layers that enable smooth communication between Python microservices and the main React/Java Spring Boot application, ensuring data consistency and low latency.
• Develop microservices that seamlessly integrate with existing Java Spring Boot services through well-defined API contracts and communication protocols.
• Collaborate with frontend (React) and backend (Java) teams to ensure consistent data models and API specifications across the platform.
• Define and implement clear API specifications (using OpenAPI/Swagger) to facilitate seamless data exchange between Python-powered AI services and the enterprise Java Spring Boot backend.
• Implement efficient request handling patterns for LLM API calls, including proper error handling, retry logic, rate limiting, and response streaming where applicable.
• Develop robust API endpoints and service interfaces to enable seamless integration across internal and external systems.
• Implement asynchronous processing patterns to handle long-running LLM tasks without blocking frontend user experiences.
• Architect services capable of horizontal scaling to handle increased throughput when multiple requests hit the LLM APIs simultaneously.
• Continuously optimize system performance, scalability, and reliability across AI-powered services.
• Enterprise Integration & Collaboration
• Implement integrations between LLM-based services and enterprise systems such as identity providers, knowledge systems, databases, and observability platforms.
• Collaborate with AI/ML teams to integrate model-serving platforms and deploy production-grade AI workflows.
• Ensure strong code quality through unit testing, integration testing, and CI/CD best practices.
• Contribute to system design discussions and assist in producing technical documentation and architecture artifacts.
• Participate in code reviews, mentor junior engineers, and promote engineering best practices.

Basic Qualifications:

• 10+ years of experience in Software Development, primarily focused on backend engineering.
• Strong expertise in Python and modern backend frameworks such as FastAPI or Flask.
• Hands-on experience with LLM orchestration frameworks such as LangChain and LangGraph.
• Experience building AI-powered applications, conversational systems, or agentic workflows.
• Strong understanding of microservices architecture, asynchronous programming, and distributed systems.
• Strong expertise in asynchronous programming patterns in Python (asyncio, aiohttp) for handling concurrent LLM API requests efficiently.
• Experience with API development and design, including RESTful services and OpenAPI/Swagger documentation.
• Proven experience building APIs that serve as integration points between different technology stacks (e.g., Python services communicating with Java/Spring Boot backends).
• Working knowledge of Java and Spring Boot, with the ability to understand and integrate with existing Java-based microservices architectures.
• Hands-on experience integrating with LLM provider APIs (OpenAI, Anthropic, Google Vertex AI, Azure OpenAI) including handling streaming responses, token management, and API rate limits.
• Familiarity with vector databases and retrieval systems used in AI pipelines.
• Infrastructure & DevOps
• Experience with cloud platforms such as AWS, GCP, or Azure for deploying and scaling applications.
• Hands-on experience implementing CI/CD pipelines, containerization (Docker), and infrastructure automation.
• Strong debugging, performance optimization, and system troubleshooting skills.
• Experience working in Agile development environments with cross-functional teams.

Other Qualifications (OQs):

• Experience implementing Retrieval-Augmented Generation (RAG) pipelines.
• Familiarity with vector databases such as Pinecone, Milvus, Weaviate, or PGVector.
• Exposure to prompt engineering, tool-calling frameworks, and structured LLM outputs.
• Understanding of agent orchestration patterns and multi-agent systems.
• Experience with MLOps platforms or model serving frameworks.
• Knowledge of streaming data pipelines, message queues (Kafka, RabbitMQ), or event-driven architectures.
• Exposure to enterprise system integrations and secure API design.
• Experience building production-grade AI applications with measurable business impact.

What’s in it for YOU at Quantiphi:

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !