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Python Llm Jobs in Toronto, ON (NOW HIRING)

... in Python and Rust Own big initiatives end-to-end and deliver them with minimal guidance ... LLM prompting skills, but also being able to work without them Experience with gRPC and its ...

This person will work in a Python-first monorepo that powers communications capture, compliance ... Contribute to AI-native product surfaces including LLM classification, agent runs, investigator ...

Senior Agentic AI Engineer

Toronto, ON · On-site

CA$130K - CA$210K/yr

... LLM orchestration, and cloud deployment. The ideal candidate has hands-on experience building ... Strong Python skills with backend API integration experience. * Familiarity with containerized ...

... Python, including API integrations, state handling, and maintainable service design. * Hands-on experience integrating LLM APIs into an application, product, or internal tool, with evidence of ...

Staff AI Developer

Oakville, ON

CA$165K - CA$200K/yr

Experience with async Python, Redis Streams, or workflow orchestration systems * Hands-on experience with LLM tools (OpenAI, Anthropic), embeddings, or vector databases * Experience with ...

Software Developer

Toronto, ON · Hybrid

CA$70K - CA$110K/yr

... Python, TypeScript/JavaScript, Java, Go, or similar modern programming languages Experience ... integrating LLM or AI APIs into applications Strong problem-solving, communication, and ...

New

GenAI Engineer

Toronto, ON · Hybrid

CA$55 - CA$65/hr

... LLM implementation experience • Strong understanding of RAG patterns, indexing, and chunking • Azure cloud experience including Databricks, Data Factory, and Storage Accounts • Strong Python ...

New

Solid understanding of LLM cost drivers, usage optimization, and the architectural trade-offs ... High proficiency in Python and the data science ecosystem, including NumPy, pandas, sklearn, spaCy ...

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Showing results 1-20

Python Llm information

What is a Python LLM job?

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.
Agentic AI Systems Developer - Remote

Agentic AI Systems Developer - Remote

NTT DATA Services

Toronto, ON • On-site, Remote

CA$149.45K - CA$207.56K/yr

Full-time

Posted 8 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

105th of 203 rated it services


Job description

Req ID: 369003 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Agentic AI Systems Developer - Remote to join our team in Toronto, Ontario (CA-ON), Canada (CA).

Role Overview:

You will design and build agentic AI systems for healthcare using the NeuroStack Agentic Operating System. You will work closely with clinical SMEs, healthcare operations experts, and compliance teams to deliver production-grade AI solutions across diagnostics, care coordination, clinical documentation, population health, and operational optimization. This role blends Generative AI, classical ML, and full-stack engineering in regulated environments.

Key Responsibilities

• Design and implement agent-based AI workflows for healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)

• Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)

• Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)

• Implement HIPAA aware AI architectures with auditability and traceability

• Build full-stack applications (Python APIs, AI services, UI dashboards)

• Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)

• Collaborate with SMEs to translate medical workflows into agent logic

• Deploy, monitor, and optimize AI systems in Azure

Required Qualifications

Experience: 8–12+ years (AI/ML, Software Engineering) Primary Stack: Python, Azure (Azure AI Studio, Azure ML, Azure OpenAI)
• Strong experience in Python-based AI systems

• Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)

• Experience with traditional ML (classification, regression, NLP, time-series)

• Full-stack experience (API design + UI integration)

• Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS)

• Experience working in regulated or compliance-heavy domains

o Comfortable working with subject-matter experts

o Strong learning mindset and adaptability

o Experience building production AI systems, not just prototypes

o Ability to explain AI decisions to non-technical stakeholders

o Interest in agentic AI and next-generation AI architectures

Nice to Have

• Healthcare domain exposure

• FHIR / HL7 familiarity

• AWS, GCP, or NVIDIA AI stack experience

• Knowledge of model governance and explainability

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $149,445.00-$207,562.00.  This range reflects the minimum and maximum target compensation for the position across all Canada locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.  

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.  Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

 

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967