Job Title: Full Stack AI Engineer
Summary: We are seeking a highly skilled Full Stack AI Engineer to join our team and work under the guidance of Principal Architect to develop and deploy LLM Agents. Agentic AI & Multi-Agent Frameworks. The ideal candidate will have 8-10 years of experience in software engineering, with a strong focus on AI/ML. This role requires excellent problem-solving capabilities and a strong execution mindset to drive the development and deployment of AI-powered solutions.
Responsibilities:
· Collaborate with the Principal Architect to design and implement AI agents and multi-agent frameworks.
· Develop and maintain robust, scalable, and maintainable microservices architectures.
· Ensure seamless integration of AI agents , MCP Servers with core systems and databases.
· Develop APIs and SDKs for internal and external consumption.
· Work closely with data scientists to fine-tune and optimize LLMs for specific tasks and domains.
· Implement ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking1.
· Design and implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability2.
· Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications3.
· Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services3.
· Design and implement data pipelines for efficient data ingestion, transformation, and storage4.
· Ensure data quality and security throughout the data lifecycle5.
· Mentor junior engineers and foster a culture of innovation, collaboration, and continuous learning.
Qualifications:
· 8-10 years of experience in software engineering with a strong focus on AI/ML.
· Proficiency in frontend frameworks like React, Angular, or Vue.js.
· Strong hands-on experience with backend technologies like Node.js, Python (with frameworks like Flask, Django, or FastAPI), or Java.
· Experience with cloud platforms such as AWS, Azure, or GCP.
· Proven ability to design and implement complex, scalable, and maintainable architectures.
· Excellent problem-solving and analytical skills.
· Strong communication and collaboration skills.
· Passion for continuous learning and staying up to date with the latest advancements in AI/ML.
· End-to-end experience with at least one full AI stack on Azure, AWS, or GCP, including components such as Azure Machine Learning, AWS SageMaker, or Google AI Platform3.
· Hands-on experience with agent frameworks like Autogen, AWS Agent Framework, LangGraph etc.
· Experience with databases such as MongoDB, PostgreSQL, or similar technologies for efficient data management and integration.
Illustrative Projects you may have worked on:
· Successfully led the development and deployment of an AI-powered recommendation system using AWS SageMaker, integrating it with a Node.js backend and a React frontend.
· Designed and implemented a real-time fraud detection system on Azure, utilizing Azure Machine Learning for model training and Kubernetes for container orchestration.
Developed a chatbot using Google AI Platform, integrating it with a Django backend and deploying it on G
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.