GenAI Lead Engineer: LLMs, RAG & Agentic AI

Infosys; Mississauga; On-site; CAD 93,000 - 123,000; Full time

Benefits offered by this job

Job summary

Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using LLMs, RAG, and agentic AI frameworks. This role suits a mid-level engineer with strong technical depth, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment.

Estimated annual compensation range for the candidate based in the below location will be: Ontario: $ 92740 to $ 123375.

Qualifications

• Bachelor’s degree required in CS/AI or related field with equivalent experience.
• 5 years software engineering or data science, with 2–3 years in Gen AI or LLM-based systems.
• Strong Python skills and ML/AI libraries like Hugging Face, LangChain, PyTorch.
• Hands-on vector DB experience (FAISS, Pinecone, Weaviate, Azure AI Search).
• Experience with cloud platforms (AWS, Azure, GCP) and REST API development (FastAPI, Flask) and Docker.
• Knowledge of AI governance, model safety, and prompt engineering.
• Willing to relocate/commute to Mississauga, ON.
• Eligible to work in Canada without sponsorship.

Responsibilities

• Design, develop, and deploy Gen AI apps using LLMs & agentic frameworks.
• Fine-tune LLMs using LoRA, QLoRA, and PEFT.
• Build and optimize RAG pipelines with vector search.
• Integrate Gen AI with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex).
• Handle unstructured data and multimodal models.
• Implement LLMOps: versioning, caching, observability, cost tracking.
• Evaluate model performance with tools like RAGAS; collaborate with teams.
• Mentor junior engineers and contribute to code reviews.

Skills

Python

Gen AI

LLMs

LangChain

PyTorch

Hugging Face

Vector DBs

Docker

Cloud Platforms

REST APIs

FastAPI

Flask

Prompt Engineering

Education

Bachelor's degree in CS/AI

Tools

FAISS

Pinecone

Weaviate

Azure AI Search

FastAPI

Docker

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 LLMs, RAG, and agentic AI frameworks. This role suits a mid-level engineer with strong technical depth, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment.

Estimated annual compensation range for the candidate based in the below location will be: Ontario: $ 92740 to $ 123375.