Technical Lead
- Toronto, ON, Canada
The base salary for this position ranges between $81,500 – 95,500 per year. · Full-time
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Job details
- Pay
- The base salary for this position ranges between $81,500 – 95,500 per year.
- Job type
- Full-time
- Apply by
- Experience
- 7+ years of software development experience with strong expertise in Java or Python, including REST APIs and microservices.
- Posting language
- English
- Posted
Original job description
We are seeking a Senior Generative AI Engineer with 7+ years of experience in software engineering, full stack development, and AI-powered solutions. In this role, you will design, build, and deploy enterprise applications leveraging Generative AI, Large Language Models (LLMs), and cloud-native technologies. You'll work closely with business stakeholders, AI data scientists, and engineering teams to deliver scalable and innovative solutions that drive business value.
In This Role, You Will
- Design, develop, and deliver scalable full stack applications and technical solutions aligned with business objectives.
- Build and implement Generative AI frameworks, prompt engineering solutions, and LLM-powered applications in production environments.
- Develop backend services, REST APIs, and microservices while supporting modern frontend applications and reusable UI components.
- Partner with AI data scientists, product owners, and stakeholders to support data ingestion, feature engineering, and AI solution delivery.
- Drive technical excellence through problem-solving, documentation, collaboration, and software development best practices.
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Toronto, Ontario. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What You Need To Have To Be Considered
- 7+ years of software development experience with strong expertise in Java or Python, including REST APIs and microservices.
- Strong experience with React, modern frontend development, Micro Frontend (MFE) architectures, and reusable component design.
- Hands-on experience or strong understanding of Generative AI, Agentic AI concepts, LLM integrations, and prompt engineering.
- Experience with AI development tools such as GitHub Copilot, Claude Code, Windsurf, or similar technologies, and cloud platforms including OpenShift, Kubernetes, and S3 Object Storage.
- Strong experience with PostgreSQL, including schema design, query optimization, and performance tuning.
- Experience with Spec-Driven Development methodologies.
- Experience building and customizing solutions using Camunda 8.
- Knowledge of Vector Databases and Retrieval-Augmented Generation (RAG) architectures.
- Experience delivering AI-powered applications in enterprise environments.
- Strategic mindset with strong communication and cross-functional collaboration skills.
Total Compensation
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $81,500 – 95,500 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellb
More about this job
Responsibilities
Design, build, and deliver scalable full-stack applications and enterprise solutions using Generative AI, LLMs, and cloud-native technologies. Develop APIs and microservices, support modern frontend applications, collaborate with stakeholders and AI data scientists, and uphold strong engineering practices.
Requirements
Requires 7+ years of software development experience, strong Java or Python skills, and experience with REST APIs, microservices, React, and PostgreSQL. Candidates should also have experience or strong understanding of Generative AI, Agentic AI, LLM integrations, prompt engineering, AI development tools, and cloud platforms.
Skills
- Java
- Python
- REST APIs
- Microservices
- React
- Micro Frontend Architectures
- Generative AI
- Agentic AI
- Large Language Models
- Prompt Engineering
- GitHub Copilot
- OpenShift
- Kubernetes
- S3 Object Storage
- PostgreSQL
- Camunda 8
Benefits
- Wellbeing Programs
- Performance-Based Bonus
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Management & Leadership
Keywords
- Full-Stack Development
- Software Engineering
- Generative AI
- Agentic AI
- Large Language Models
- Prompt Engineering
- Java
- Python
- REST APIs
- Microservices
- React
- Micro Frontend Architectures
- Reusable UI Components
- GitHub Copilot
- Claude Code
- Windsurf
- OpenShift
- Kubernetes
- S3 Object Storage
- PostgreSQL
- Schema Design
- Query Optimization
- Performance Tuning
- Spec-Driven Development
- Camunda 8
- Vector Databases
- Retrieval-Augmented Generation
- Data Ingestion
- Feature Engineering
- Enterprise Applications