Technology Lead - GenAI Lead

Infosys Limited; Mississauga; On-site; CAD 92,740 - 123,375; Full time

Job summary

Infosys Limited is seeking a hands-on Gen AI / Agentic AI Lead to drive development of AI solutions using LLMs and agentic frameworks. Ideal for a mid-level engineer, you will lead small teams in a fast-paced environment and oversee the design and deployment of Gen AI applications.

Your role requires strong Python programming skills, cloud services knowledge, and experience with AI libraries. The estimated annual compensation for this position in Ontario ranges from $92,740 to $123,375.

Qualifications

• 5 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems.
• Strong Python programming skills with ML/AI libraries.
• Hands-on experience with vector databases and cloud platforms.

Responsibilities

• Design, develop, and deploy Gen AI applications using LLMs and frameworks.
• Fine-tune LLMs and build RAG pipelines.
• Integrate Gen AI solutions with cloud-native services.

Skills

Python programming

Machine Learning/AI libraries

Vector databases

REST API development

Containerisation

Model interpretability

Multimodal models

Education

Bachelor’s degree in Computer Science, AI/ML or related field

Tools

Hugging Face Transformers

LangChain

PyTorch

Docker

AWS

Azure

GCP

Job description

Infosys is seeking a hands‑on Gen AI / Agentic AI Lead to drive the development and deployment of next‑generation AI solutions using Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and Agentic AI frameworks. The role is ideal for a mid‑level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast‑paced, innovation‑driven environment.

Key Responsibilities

• Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI).
• Fine‑tune open‑source and proprietary LLMs using techniques such as LoRA, QLoRA, and PEFT.
• Build and optimise 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.

Qualifications

• Location: Must be within commuting distance of Mississauga, ON, or willing to relocate.
• Bachelor’s degree in Computer Science, AI/ML, or related field, or an accredited foreign equivalent; additional experience may substitute education.
• 5 years of experience in software engineering or data science, with 2–3 years in Gen AI or LLM‑based systems.
• 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 containerisation (Docker).
• Solid understanding of AI governance, model safety, and prompt engineering.
• 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 (vision + language).
• Exposure to agentic workflows and autonomous agents.

Job Details

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

Estimated annual compensation range for the candidate based in Ontario: $92,740 to $123,375.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race, colour, 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.