Back to results

Sr Python - Java Developer

  • Toronto, ON, Canada

$90,000 to $120,000 CAD / year · Full-time

Applications open in a new tab.

Job details

Pay
$90,000 to $120,000 CAD / year
Job type
Full-time
Apply by
Posting language
English
Posted

Original job description

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.

TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.

Key Responsibilities

  • Design, build, test, deploy, and support AI-enabled enterprise applications using Python and Java.
  • Develop Generative AI solutions, including conversational assistants, retrieval-augmented generation pipelines, enterprise search, summarization, and workflow automation.
  • Build agentic capabilities using tool or function calling, orchestration, guardrails, human-in-the-loop controls, and auditable execution flows.
  • Integrate large language models, machine learning models, APIs, vector stores, enterprise data sources, and existing applications.
  • Develop robust REST APIs and microservices using modern Python and Java frameworks.
  • Implement prompt engineering, document chunking, embeddings, retrieval, reranking, grounded response generation, and output validation.
  • Create evaluation frameworks for accuracy, groundedness, safety, latency, reliability, and cost; automate regression testing for AI behaviour.
  • Implement MLOps and LLMOps practices, including version control, CI/CD, containerization, model and prompt versioning, monitoring, and incident support.
  • Apply privacy, security, identity and access management, responsible AI, and model-risk controls appropriate to a regulated environment.
  • Partner with stakeholders to clarify use cases, assess feasibility, define acceptance criteria, demonstrate prototypes, and transition solutions into production.

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

More about this job

Responsibilities

Design, build, test, deploy, and support AI-enabled enterprise applications using Python and Java, including generative AI assistants, retrieval-augmented generation, enterprise search, and workflow automation. Integrate models, APIs, vector stores, and enterprise data while implementing evaluation, operational, security, privacy, and responsible AI controls for production systems.

Requirements

The role calls for experience developing enterprise applications and APIs with Python and Java, along with practical knowledge of generative AI, large language models, retrieval, and agent orchestration. It also requires the ability to implement production-quality testing and MLOps/LLMOps practices, apply security and responsible AI controls, and collaborate with stakeholders to move solutions into production.

Skills

  • Python
  • Java
  • Generative AI
  • Large Language Models
  • Retrieval-Augmented Generation
  • Agentic AI
  • REST APIs
  • Microservices
  • Prompt Engineering
  • Vector Stores
  • Machine Learning
  • MLOps
  • LLMOps
  • CI/CD
  • Containerization
  • Responsible AI

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Data & Analytics
  • Consulting

Keywords

  • Python
  • Java
  • Generative AI
  • Conversational Assistants
  • Retrieval-Augmented Generation
  • Enterprise Search
  • Workflow Automation
  • Agentic Capabilities
  • Tool Calling
  • Function Calling
  • Orchestration
  • Guardrails
  • Human-in-the-Loop Controls
  • Large Language Models
  • Machine Learning Models
  • REST APIs
  • Microservices
  • Prompt Engineering
  • Document Chunking
  • Embeddings
  • Vector Stores
  • Retrieval
  • Reranking
  • Grounded Response Generation
  • Output Validation
  • AI Evaluation
  • Regression Testing
  • MLOps
  • LLMOps
  • CI/CD

Report this job