Python Developer - Hybrid

Client: Citi Bank – Python Developer

We are seeking an experienced Python Developer with 8+ years of experience to develop backend services, analyze data flows and source code, and build reliable software solutions. The ideal candidate will have strong Python programming skills, experience with Gen AI/LLMs, and knowledge of API development, data transformation, CI/CD pipelines, and retrieval-augmented generation.

• Job Title:
  
  Python Developer
• Client:
  Citi Bank
• Work Location:
  
  Mississauga, Ontario, Canada
• Work Arrangement:
  Hybrid
• Position Type:
  Full-time
• Experience
  
  Required:
  
  8+ years
• Final date to receive applications: 26 October 2026

• 8+ years of experience in Python development.
• Strong object-oriented and functional design skills.
• Knowledge of data structures, algorithms, and complexity analysis.
• Experience in data lineage, data flow analysis, and static code analysis.
• Hands-on Gen AI/LLM experience, including prompt design, tool/function calling, and agent orchestration.
• Understanding of RAG, vector search, and semantic search.
• Experience with APIs, backend services, CI/CD, deployment, and data transformation.

The Python Developer will develop software solutions using Python, applying strong software engineering principles and data manipulation techniques. The role involves analyzing source code and data flows using AST-based and pattern-based static analysis while working with multiple programming languages.

The successful candidate will also contribute to Gen AI/LLM-powered solutions, API and backend service development, usable interfaces, and automated build, testing, deployment, and release processes across environments.

• Develop software using Python with strong object-oriented and functional design practices.
• Apply data structures, algorithms, and complexity analysis to software engineering tasks.

• Analyze data lineage and data flows by parsing and reviewing source code.
• Apply AST-based and pattern-based static analysis techniques.
• Read and analyze code written in multiple programming languages.

• Work with prompt design, tool/function calling, and agent orchestration.
• Apply understanding of retrieval-augmented generation, vector search, and semantic search concepts.

• Design APIs and develop backend services.
• Apply front-end fundamentals to build usable interfaces.

• Support build and test automation.
• Work with CI/CD pipelines and release software across environments.

• Perform data manipulation and transformation as required by application and pipeline workflows.

• Python Development and Software Engineering – 35%
• Strong Python development skills.
• Object-oriented and functional design expertise.
• Knowledge of data structures, algorithms, and complexity analysis.
• Data Lineage, Static Analysis, and Gen AI/LLM – 35%
• Data lineage and data flow analysis.
• Source code parsing and analysis using AST-based and pattern-based static analysis.
• Ability to read and analyze multiple programming languages.
• Gen AI/LLM experience, including prompt design, tool/function calling, and agent orchestration.
• Understanding of retrieval-augmented generation, vector search, and semantic search.
• APIs, Deployment, and Data Transformation – 30%
• API design and backend service development.
• Front-end fundamentals for building usable interfaces.
• Build/test automation, CI/CD, and releases across environments.
• Data manipulation and transformation skills.

• Python development
• Object-oriented and functional design
• Data structures, algorithms, and complexity analysis
• Data lineage and data flow analysis
• AST-based and pattern-based static code analysis
• Reading and analyzing multiple programming languages
• Gen AI/LLM, prompt design, tool/function calling, and agent orchestration
• Retrieval-augmented generation (RAG)
• Vector search and semantic search
• API design and backend services
• Front-end fundamentals
• Build/test automation, CI/CD, and deployment
• Data manipulation and transformation

This is a hybrid assignment, requiring candidates to be present in the office 2-3 days onsite per week.

This is a hybrid assignment, requiring candidates to be present in the office 2-3 days onsite per week.