GenAI Developer – AWS, Generative AI & Machine Learning
Builds and deploys generative AI solutions for enterprise applications — LLM apps, RAG pipelines, trained ML models, and AI-powered APIs — in a hybrid role based in Toronto. Core stack is Python ML (TensorFlow/PyTorch) on AWS services like Bedrock, SageMaker, Lambda, and ECS/EKS.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 5-8 years of experience designing, developing, and deploying AI-driven solutions
- Generative AI, LLMs, Prompt Engineering, and RAG
- Machine Learning with Python, TensorFlow, PyTorch, Scikit-Learn
- AWS Cloud (Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway)
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
Nice to have
- MLOps and CI/CD for AI/ML deployments
- Vector databases (Pinecone, OpenSearch, FAISS, ChromaDB)
- BFSI domain experience
Full description
Gen AI (AWS)Location: Toronto, ON
Work Arrangement: Hybrid (2 days per week in-person at Toronto office
preferred)
Skills: Machine Learning, Artificial
Intelligence(AI) AI & Gen AI -
Products & Tools
Experience Required: 6-8 Years
Job Description
- We
are seeking a GenAI Developer with 5-8 years of experience in designing,
developing, and deploying AI-driven solutions.
- The
ideal candidate should have strong expertise in Generative AI, Machine
Learning, and AWS cloud services.
Key Responsibilities
- Design
and develop Generative AI applications using Large Language Models (LLMs).
- Build,
train, evaluate, and deploy Machine Learning models.
- Develop
AI-powered APIs and microservices for enterprise applications.
- Implement
Retrieval-Augmented Generation (RAG) solutions and prompt engineering
techniques.
- Utilize
AWS AI/ML services such as Amazon Bedrock, SageMaker, Lambda, ECS/EKS, and
API Gateway.
- Integrate
AI solutions with cloud-native applications and enterprise platforms.
- Perform
model monitoring, optimization, and performance tuning.
- Collaborate
with business stakeholders and development teams to deliver scalable AI
solutions.
Required Skills
- Generative
AI, LLMs, Prompt Engineering, and RAG
- Machine
Learning (Python, TensorFlow, PyTorch, Scikit-Learn)
- AWS
Cloud (Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway)
Preferred Skills
- MLOps
and CI/CD for AI/ML deployments
- Vector
Databases (Pinecone, OpenSearch, FAISS, ChromaDB)
- BFSI
domain experience
Education
- Bachelor's
degree in Computer Science, Engineering, Data Science, or a related field.