Design, develop, and maintain sophisticated NLP and Generative AI applications in Python; architect scalable agentic AI systems, RAG pipelines, and LLM integrations leveraging vector databases ...
Design, develop, and maintain sophisticated NLP and Generative AI applications in Python; architect scalable agentic AI systems, RAG pipelines, and LLM integrations leveraging vector databases ...
Design, develop, and optimize sophisticated NLP and Generative AI applications using Python; architect scalable solutions for agentic AI systems, RAG pipelines, and LLM integrations * Frontend and ...
Design, develop, and optimize sophisticated NLP and Generative AI applications using Python; architect scalable solutions for agentic AI systems, RAG pipelines, and LLM integrations * Frontend and ...
Working across the full stack, from React/TypeScript frontends to Python backends and LLM orchestration systems, you'll define patterns and best practices that other engineers will follow. You'll ...
Working across the full stack, from React/TypeScript frontends to Python backends and LLM orchestration systems, you'll define patterns and best practices that other engineers will follow. You'll ...
Applied AI Engineer
Toronto, ON · On-site
Advanced Python and backend engineering * LLM systems (RAG, agents, prompting, evaluation) * API design and system architecture * Docker, Git, CI/CD * Understanding of inference systems and scaling ...
Quick apply
Applied AI Engineer
Toronto, ON · On-site
Advanced Python and backend engineering * LLM systems (RAG, agents, prompting, evaluation) * API design and system architecture * Docker, Git, CI/CD * Understanding of inference systems and scaling ...
Applied AI Engineer
Toronto, ON · Hybrid
Advanced Python and backend engineering * LLM systems (RAG, agents, prompting, evaluation) * API design and system architecture * Docker, Git, CI/CD * Understanding of inference systems and scaling ...
Applied AI Engineer
Toronto, ON · Hybrid
Advanced Python and backend engineering * LLM systems (RAG, agents, prompting, evaluation) * API design and system architecture * Docker, Git, CI/CD * Understanding of inference systems and scaling ...
Staff Agentic AI Engineer
Toronto, ON · On-site
Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression evals ... Build scalable Python services and platform components deployed in AWS cloud environments.
Staff Agentic AI Engineer
Toronto, ON · On-site
Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression evals ... Build scalable Python services and platform components deployed in AWS cloud environments.
Research and implement state-of-the-art LLM techniques including continued pre-training, supervised ... Proficiency in programming languages such as Python, with experience in software development and ...
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Research and implement state-of-the-art LLM techniques including continued pre-training, supervised ... Proficiency in programming languages such as Python, with experience in software development and ...
Tech Lead, AI Engineering
Toronto, ON · Hybrid
CA$75K - CA$141K/yr
Python / NodeJS / Java and AI/LLM frameworks (e.g., Semantic Kernel / MAF, LangChain, LlamaIndex, FastAPI ) * Cloud platforms ( Azure preferred; AWS acceptable ), CDKTF * API development ...
Tech Lead, AI Engineering
Toronto, ON · Hybrid
CA$75K - CA$141K/yr
Python / NodeJS / Java and AI/LLM frameworks (e.g., Semantic Kernel / MAF, LangChain, LlamaIndex, FastAPI ) * Cloud platforms ( Azure preferred; AWS acceptable ), CDKTF * API development ...
Design, build, and maintain scalable Gen AI platform capabilities, including LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures, using clean, maintainable Python and AWS ...
Design, build, and maintain scalable Gen AI platform capabilities, including LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures, using clean, maintainable Python and AWS ...
Java (Spring Boot), Node.js, Python * Frontend: Angular or React * AI / LLM:LangChain, AWS Bedrock, Azure OpenAI, Copilot Studio, OpenAI and Anthropic APIs * Retrieval:Vector databases including ...
Java (Spring Boot), Node.js, Python * Frontend: Angular or React * AI / LLM:LangChain, AWS Bedrock, Azure OpenAI, Copilot Studio, OpenAI and Anthropic APIs * Retrieval:Vector databases including ...
Architect and operationalize LLM deployment pipelines on AWS and Kubernetes/EKS. * Build and scale ... Strong foundation in Python, Bash, and IaC (Terraform) . * Experience integrating monitoring tools ...
Quick apply
Architect and operationalize LLM deployment pipelines on AWS and Kubernetes/EKS. * Build and scale ... Strong foundation in Python, Bash, and IaC (Terraform) . * Experience integrating monitoring tools ...
Staff Software Engineer I
Toronto, ON · Hybrid
... and Python stacks - and direct contribution to AI-powered capabilities such as agentic workflows, LLM integrations, and MCP-based tooling. * Set Technical Standards: Establish and uphold best ...
Staff Software Engineer I
Toronto, ON · Hybrid
... and Python stacks - and direct contribution to AI-powered capabilities such as agentic workflows, LLM integrations, and MCP-based tooling. * Set Technical Standards: Establish and uphold best ...
Senior Backend Engineer, Entities
Toronto, ON · Remote
$184K - $249K/yr
We build leading LLM-powered systems for the legal industry, transforming how complex legal ... Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes ...
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Senior Backend Engineer, Entities
Toronto, ON · Remote
$184K - $249K/yr
We build leading LLM-powered systems for the legal industry, transforming how complex legal ... Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes ...
Lead Software Engineer I
Toronto, ON · Hybrid
Strongexperience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design, LLM orchestration ...
Lead Software Engineer I
Toronto, ON · Hybrid
Strongexperience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design, LLM orchestration ...
Develop back-end services, APIs, databases, authentication flows, and business logic using Python, Node.js, or similar technologies. * Integrate LLM APIs such as OpenAI, Azure OpenAI, Anthropic ...
Develop back-end services, APIs, databases, authentication flows, and business logic using Python, Node.js, or similar technologies. * Integrate LLM APIs such as OpenAI, Azure OpenAI, Anthropic ...
Senior Software Engineer I
Toronto, ON · Hybrid
Experience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design, or LLM orchestration frameworks ...
Senior Software Engineer I
Toronto, ON · Hybrid
Experience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design, or LLM orchestration frameworks ...
Lead Software Engineer I
Toronto, ON · Hybrid
Strongexperience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design, LLM orchestration ...
Lead Software Engineer I
Toronto, ON · Hybrid
Strongexperience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design, LLM orchestration ...
AI Developer
Oakville, ON · Hybrid
CA$121K - CA$151K/yr
... Python or TypeScript/JavaScript. * Experience developing AI agents, including taking them from prototype toward production deployment. * Experience building with LLM APIs (OpenAI, Anthropic, or ...
AI Developer
Oakville, ON · Hybrid
CA$121K - CA$151K/yr
... Python or TypeScript/JavaScript. * Experience developing AI agents, including taking them from prototype toward production deployment. * Experience building with LLM APIs (OpenAI, Anthropic, or ...
Senior AI Scientist
Toronto, ON · On-site
About the Role This role sits at the intersection of AI safety research, LLM evaluation, and ... Strong programming skills in Python, including experience with data pipelines, large-scale ...
Senior AI Scientist
Toronto, ON · On-site
About the Role This role sits at the intersection of AI safety research, LLM evaluation, and ... Strong programming skills in Python, including experience with data pipelines, large-scale ...
... LLM interactions, serve hightraffic APIs, and manage largescale content processing. * Design and build backend services using Python, FastAPI, and PostgreSQL to support realtime AI interactions and ...
... LLM interactions, serve hightraffic APIs, and manage largescale content processing. * Design and build backend services using Python, FastAPI, and PostgreSQL to support realtime AI interactions and ...
Python Llm information
What is a Python LLM?
A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.
What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?
To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.
What are some common challenges faced by Python LLM engineers in their daily work?
Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.
What are popular job titles related to Python Llm jobs in Toronto, ON?
For Python Llm jobs in Toronto, ON, the most frequently searched job titles are:
- Senior Python Developer
- Entry Level Python Flask Developer
- Part Time Junior Python Developer
- Seasonal Remote Python Django Developer
- Python Developer
- Contractual Python Django Developer
- Internship Full Stack Python Developer
- Internship Golang Developer
- Day Shift Freelance Python Django Developer
- Freelance Python Django Developer
What job categories do people searching Python Llm jobs in Toronto, ON look for?
The top searched job categories for Python Llm jobs in Toronto, ON are:
Job description
Job Description
What is the opportunity?
We're looking for an experienced Staff AI Engineering (Global Security) expert who will bring
technical leadership and subject-matter expertise in designing and implementing agentic AI systems and Large Language Model (LLM) applications. You will lead the development of next-generation AI technologies, establish technical standards across the team, and work with a team of passionate individuals committed to bringing advanced AI to enterprise security.
At RBC Global Security, you'll be joining a team that builds AI solutions to reduce vulnerabilities across the organization and enhance developer experience. The team has access to rich and massive datasets and computational resources to support development in agentic AI systems, LLM applications, and intelligent security platforms. The role involves strategic technical leadership, hands-on development, mentorship, and execution to ensure objectives are accomplished with excellence.
What will you do?
- Design, develop, and maintain sophisticated NLP and Generative AI applications in Python; architect scalable agentic AI systems, RAG pipelines, and LLM integrations leveraging vector databases, embeddings, and advanced prompt engineering
- Design and implement Model Context Protocol (MCP) servers for enterprise data integration; build custom MCP servers connecting LLM applications to internal databases, APIs, and knowledge bases; contribute to existing MCP deployments developing new features and optimizations
- Build and maintain deployment pipelines to cloud platforms (OpenShift, Azure, AWS); containerize applications using Docker; build CI/CD workflows with GitHub Actions; manage MCP server infrastructure with proper authentication, security, and monitoring
- Develop AI-driven security tools and applications for scalability and resiliency; integrate applications with SIEM systems for alerting and reporting
- Establish technical direction and architectural standards for MCP server development, AI framework selection, and prompt engineering practices across Global Security; lead architectural reviews of team implementations
- Lead the design of complex, multi-system AI integrations; architect for scalability, resilience, and cost optimization at enterprise scale
- Define AI strategy in collaboration with product leadership; translate business objectives into technical roadmaps, prioritization, and architectural decisions
- Perform root-cause analysis for production issues and provide solutions; manage risks, assumptions, and constraints; communicate to appropriate parties
What do you need to succeed?
Must-have
- 5+ years software development experience with 2+ years in AI/ML; expert-level Python proficiency for production systems
- Deep expertise designing and deploying NLP/Generative AI applications; proven track record with vector databases, LLMs, and RAG pipelines
- Expert-level experience with Model Context Protocol (MCP) servers for enterprise data integration; proven track record implementing complex multi-system AI architectures
- 1-2+ years hands-on experience with Anthropic Claude API and SDK (function calling, tool use, extended context) OR equivalent production LLM experience
- Advanced proficiency with AI frameworks (FastAPI, LangChain, LangGraph) and Python libraries (NumPy, Pandas, scikit-learn)
- Advanced prompt engineering expertise: multi-step reasoning, prompt caching strategies, cost optimization, Anthropic Skills framework, and agent orchestration patterns
- Solid understanding of cloud platforms (OCP, Azure, AWS), web services (SOAP/REST), Git/GitHub Actions, Docker, databases (SQL/NoSQL), middleware (Kafka/Redis), and JSON-RPC protocols
- Demonstrated experience leading or architecting large-scale AI/ML projects from conception through production; ability to make high-impact design decisions with long-term implications
Nice-to-have
- MLOps tools, service mesh architectures, API gateway patterns, and cloud certifications (AWS/Azure)
- Familiarity with SIEM integration patterns and security incident management workflow
- Understanding of Docker and other containerization platforms
What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Flexible work/life balance options
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Access to a variety of job opportunities across business
Job Skills
Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)Additional Job Details
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
Employment Type: FULL_TIMEAbout Royal Bank of Canada
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
Toronto, Ontario, CA