PYTHON DEVELOPER - GENAI / AI

SIDRAM TECHNOLOGIES; Mississauga; On-site; CAD 120,000 - 180,000; Full time

Job summary

Citi Bank in Mississauga, Ontario, Canada is hiring a Python Developer with GenAI expertise to design and deploy enterprise-grade AI solutions. The role emphasizes RAG pipelines, LLMs, and MLOps, requiring strong data engineering and API integration skills for scalable production systems.

The ideal candidate has 8–10 years of relevant experience, can lead complex ambiguity, and collaborates closely with cross-functional teams to deliver cutting-edge GenAI applications.

Qualifications

• Must have extensive GenAI/LLM experience and strong data-engineering background.
• Proficient in building and deploying enterprise-grade AI solutions.
• Hands-on experience with MLOps pipelines and CI/CD tooling.

Responsibilities

• Lead the design and deployment of GenAI-powered solutions for enterprise apps.
• Develop and optimize RAG pipelines and agentic AI use cases.
• Collaborate with data engineers and ML teams to scale models in production.

Skills

GenAI/LLMs

RAG pipelines

Prompt engineering

Agentic AI

MLOps

Data Eng.

Python

APIs

Knowledge graphs

Orchestration

Tools

LangChain

LlamaIndex

FastAPI

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Transformers

Vertex AI

Hugging Face

Kubernetes

OpenShift

Jenkins

Job description

NOW HIRING: PYTHON DEVELOPER GENAI / AI

Location: Mississauga, Ontario, Canada

Client: Citi Bank

Employment: Full-Time

Overall Experience: 10 Years

Relevant Experience: 8 10 Years

Role Overview

Looking for a Python Developer with strong expertise in Generative AI, LLMs, RAG, Agentic AI, Data Engineering, and MLOps to build and deploy enterprise-grade AI solutions.

Core Ai/Ml & Genai Skills

• GenAI, Machine Learning, Data Science, Statistics, NLP, Neural Networks, and LLMs.
• Hands-on experience with Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama, and open-source LLMs.
• Strong hands-on expertise with RAG pipelines and advanced RAG techniques.
• Experience with Vertex AI, Hugging Face, and LLM application development.
• Prompt engineering, prompt tuning, and reusable prompt templates.
• Agentic AI frameworks and use-case implementation.
• Guardrails and GenAI performance/safety evaluation.

PYTHON & DATA ENGINEERING

• Strong Python programming.
• Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Transformers.
• FastAPI, Seaborn, LangChain, LlamaIndex.
• GenAI integration with enterprise applications using APIs, knowledge graphs, and orchestration tools.
• Vector databases: PGVector, Pinecone, MongoDB Atlas, Neo4j.
• Experience handling large-scale unstructured data and high-throughput processing.

DEPLOYMENT & MLOPS

• Production deployment of GenAI-based models.
• MLOps, model evaluation, and deployment pipelines.
• CI/CD: Jenkins, GitLab CI, Azure DevOps, ArgoCD.
• Kubernetes / OpenShift for cloud-native application deployment and scaling.

Soft Skills

• Strong problem-solving and analytical skills.
• Excellent collaboration and communication.
• Ability to work independently on complex and ambiguous problems.