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Infosys

Technology Analyst

ON, Canada

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Job details

Education: Bachelor’s degree
Experience: 3–5 years of experience in software engineering, machine learning, or data science, with hands-on experience in GenAI or LLM-based systems.
Posting language: English
Posted: Nov 2, 2026

Original job description

Job Description

Infosys is seeking a hands-on Gen AI / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for an engineer with strong technical depth, a passion for building AI-powered applications, and experience delivering production-grade GenAI solutions in a fast-paced, innovation-driven environment.

Required Qualifications

Candidate must be located within commuting distance of Mississauga, ON (Canada) or be willing to relocate to the area.
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
Bachelor’s degree in computer science, AI/ML, or related field.
3–5 years of experience in software engineering, machine learning, or data science, with hands-on experience in GenAI or LLM-based systems.

Key Qualifications :

Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI).
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).
Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP).
Experience with REST API development (FastAPI, Flask) and containerization (Docker).
Solid understanding of AI governance, model safety, and prompt engineering.
Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT.
Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search.
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.
Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.
Evaluate model performance using tools like RAGAS, DeepEval, and FMeval.
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions.
Mentor junior engineers and contribute to code reviews, design discussions, and best practices.
Exposure to agentic workflows and autonomous agents.
Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform).
Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs.
Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems.
Experience with multimodal models and perception systems (e.g., vision + language).

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face.

Estimated annual compensation range for the candidate based in the below location will be:
Ontario: $ 72783 to $ 105007

EEO/About Us

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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More about this job

Responsibilities

Design, develop, and deploy production-grade GenAI and agentic AI solutions using LLMs and RAG pipelines. Collaborate with cross-functional teams to integrate AI models while implementing LLMOps practices and ensuring model safety.

Requirements

Requires a bachelor's degree in computer science or a related field and 3-5 years of experience in software engineering or machine learning. Candidates must be authorized to work in Canada without sponsorship and be located near Mississauga.

Skills

Generative AI
LLMs
Python
LangChain
PyTorch
Vector Databases
Azure
AWS
GCP
FastAPI
Docker
Prompt Engineering
RAG
Agentic AI
CI/CD
Machine Learning

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
Agentic AI
RAG
Python
LangGraph
AutoGen
Crew AI
Hugging Face
PyTorch
FAISS
Pinecone
Weaviate
Azure AI Search
AWS
Azure
GCP
FastAPI
Docker
Prompt Engineering
LoRA
QLoRA
PEFT
LLMOps
RAGAS
DeepEval
CI/CD
Terraform
GraphQL
Multimodal Models

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