Senior Backend Engineer

About Quantiphi:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate - we lead.

Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.

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
or
LinkedIn Page.

Role:
Senior Backend Engineer (AI/LLM Integration)

Experience Level:
7+ years experience

Work Location:
Canada (Remote)

Role Overview:

We are seeking a Senior Backend Engineer to join a high-priority project focused on building and scaling production-grade AI services. The ideal candidate is a seasoned software engineer who has successfully moved beyond experimentation into deploying Large Language Model (LLM) workflows within enterprise environments.

You will be responsible for building the "plumbing" and orchestration layers that allow AI models to function reliably at scale, ensuring high availability within a Kubernetes ecosystem.

Key Responsibilities:

• AI Orchestration: Design and implement complex, multi-step LLM workflows and "chains" to automate business logic.
• Service Development: Build and maintain high-performance backend services using either Java or Python.
• Production Deployment: Containerize and deploy services to Kubernetes (AKS), ensuring they are resilient and scalable.
• Integration: Connect backend services with various AI providers (OpenAI, Azure AI, Anthropic, etc.) and Vector Databases.
• Observability: Implement monitoring and logging specifically for AI workloads to track model performance, latency, and "hallucination" rates.

Basic Qualifications:

• Core Languages: 7+ years of professional experience in Java (Spring Boot) or Python (FastAPI/Flask/Django).
• AI/LLM Experience: Proven experience integrating LLMs into production environments.
• Orchestration Frameworks: Hands-on experience with LangChain, LangGraph, LlamaIndex, or similar frameworks for managing multi-step AI prompts and state.
• Cloud & DevOps: Strong experience with Kubernetes (Azure Kubernetes Service / AKS preferred). Comfortable with Docker, CI/CD pipelines, and cloud-native architecture.
• Data Systems: Familiarity with Vector Databases (e.g., Pinecone, Weaviate, Milvus) and traditional SQL/NoSQL databases.

Other Qualifications (OQs):

• Experience with LLM Observability tools (e.g., LangSmith, Arize Phoenix, Weights & Biases).
• Knowledge of RAG (Retrieval-Augmented Generation) patterns and optimization.
• Understanding of prompt engineering best practices and model evaluation techniques.

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.