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 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 AI Engineer
Experience Level: 7+ years experience
Work Location: Canada
Role Overview:
We are seeking a Senior AI Engineer to work closely with Product and Engineering teams to design, build, and scale autonomous, agent-based AI solutions aligned with business and product objectives. This role focuses on developing production-grade AI agents, agent data types, and pipelines, while enabling robust frameworks and workflows for agent reasoning, function calling, and coordinated actions in secure, enterprise environments.
Key Responsibilities:
Collaborate with Product and Engineering stakeholders to translate product vision and requirements into scalable, autonomous agent-based solutions.
Design and implement new agent data types, pipelines, and orchestration workflows that enable agent reasoning, function calling, planning, and action coordination.
Develop, optimize, and maintain autonomous agents using LLMs, planning algorithms, multi-step reasoning, and agent collaboration patterns.
Build and enhance agent frameworks leveraging industry-standard tools such as LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar ecosystems.
Implement enterprise-grade security for agent-based systems, including authentication, role-based access control (RBAC), audit logging, compliance monitoring, and secure secret management.
Integrate AI agents securely with internal platforms, external APIs, and data sources using secure communication protocols and best practices.
Partner with platform, cloud, and DevOps teams to ensure reliability, scalability, observability, and performance of AI agent pipelines.
Contribute to best practices in prompt engineering, model evaluation, and responsible AI adoption.
Basic Qualifications:
Expert-level proficiency in Python, with strong understanding of frameworks and functional programming principles.
Hands-on experience designing and implementing LLM-based agent workflows and systems.
Familiarity with agent and orchestration frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or equivalent.
Proven expertise with Azure AI services and open-source AI/ML frameworks.
Minimum of 5 years of professional experience in software development, including production-grade systems.
Experience implementing security at scale, including RBAC, multi-factor authentication (MFA), network security best practices, and compliance monitoring.
Other Qualifications (OQs):
Strong understanding of Retrieval-Augmented Generation (RAG) patterns, vector databases, and optimization techniques.
Knowledge of prompt engineering best practices, evaluation frameworks, and model performance tuning.
Experience building AI systems in regulated or enterprise environments.
Familiarity with cloud-native architectures, APIs, and distributed systems.
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!
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