Senior AI Developer - Python, AWS Bedrock & Agentic AI - Tier1 Banking client

S.I. Systems Ltd.; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

S.I. Systems Ltd. in Toronto is seeking a Senior AI Developer with strong Python and AWS Bedrock experience to build AI-enabled applications. The role combines Python engineering, Bedrock model integration, and agentic workflows within a banking client environment.

The candidate will work to move beyond concepts, showing concrete implementations and addressing technical challenges in a broader architecture. Java experience is a plus, but Python is required.

Qualifications

• 3+ years of hands-on Python development experience.
• Hands-on experience with Amazon Bedrock and agentic AI.
• Practical AWS application-development experience including Lambda, S3, ECS/EKS, Glue and RDS.
• Strong backend development and REST API skills.
• Ability to explain AI development work with business context and technical details.
• Strong architectural problem-solving skills and debugging capabilities.

Responsibilities

• Design, develop and maintain Python components and backend services for AI-enabled functionality.
• Integrate AI models using Amazon Bedrock and build agentic workflows with application services and data.
• Connect AI capabilities with REST APIs, enterprise systems and AWS services.
• Test, debug and troubleshoot AI-enabled applications; evaluate trade-offs.
• Collaborate with developers and architects to deliver maintainable code.

Skills

Python

Amazon Bedrock

Agentic AI

REST APIs

AWS Cloud

Lambda

S3

ECS or EKS

Glue

RDS

Education

Bachelor's degree in Computer Science or related

Tools

Python development tools

AWS Bedrock tooling

Job description

Senior AI Developer - Python, AWS Bedrock & Agentic AI - Tier1 Banking client

Senior AI Developer - Python, AWS Bedrock & Agentic AI - Tier1 Banking client

Duration: 12-month contract

Anticipated Start: January 2027

Overview

Our capital markets client is seeking a Senior AI Developer with strong Python and AWS experience to build AI-enabled application capabilities alongside an established engineering team.

This is a hands-on software development role combining Python application engineering, Amazon Bedrock, AI model integration and agentic workflows. The successful candidate will be able to move beyond conceptual discussions to explain what they personally built, the technical challenges encountered and how their solutions operate within a broader application architecture. Java experience is advantageous, but Python is required.

Key Responsibilities

• Design, develop and maintain Python application components and backend services supporting AI-enabled functionality.
• Integrate AI models using Amazon Bedrock and develop agentic workflows that interact with application services and data.
• Connect AI capabilities with REST APIs, enterprise systems and relevant AWS services.
• Test, debug and troubleshoot AI-enabled applications, addressing implementation issues and evaluating technical trade-offs.
• Work closely with other developers and architecture stakeholders to design solutions, resolve technical problems and deliver maintainable application code.

Must Haves

• 3+ years of hands-on Python development experience, with the ability to build and troubleshoot application code rather than relying solely on analytical notebooks or high-level solution design.
• Hands-on experience with Amazon Bedrock and agentic AI, including direct implementation of AI model integrations or agent-enabled application workflows.
• Practical AWS application-development experience and a strong understanding of cloud fundamentals. Relevant services include Lambda, S3, ECS or EKS, Glue and RDS; experience with every listed service is not required.
• Strong software engineering fundamentals, including backend development, REST APIs, application integration, testing and debugging.
• Demonstrated ability to explain personally owned AI development work, including the business problem, implementation approach, technical challenges and resolution.
• Strong architectural problem-solving skills, including the ability to discuss how a solution behaves under different operating conditions and how issues would be investigated and addressed.

Nice to Haves

• Hands-on Java development experience, particularly Spring Boot, REST services and microservices.
• Experience building retrieval-augmented generation (RAG) solutions or connecting AI models with enterprise knowledge sources.
• Experience with Kafka or other event-driven integrations, together with relational database development.
• Capital markets, investment banking or broader financial services experience.
• Additional AWS experience with IAM, EC2, CloudFormation, SNS/SQS and CloudWatch.
• A degree in Computer Science, Computer Engineering or a related discipline.

Senior AI Developer - Python, AWS Bedrock & Agentic AI - Tier1 Banking client

Duration: 12-month contract

Location: Toronto, ON | Hybrid, 2 days per week onsite

Anticipated Start: January 2027

Overview

Our capital markets client is seeking a Senior AI Developer with strong Python and AWS experience to build AI-enabled application capabilities alongside an established engineering team.

This is a hands-on software development role combining Python application engineering, Amazon Bedrock, AI model integration and agentic workflows. The successful candidate will be able to move beyond conceptual discussions to explain what they personally built, the technical challenges encountered and how their solutions operate within a broader application architecture. Java experience is advantageous, but Python is required.

Key Responsibilities

• Design, develop and maintain Python application components and backend services supporting AI-enabled functionality.
• Integrate AI models using Amazon Bedrock and develop agentic workflows that interact with application services and data.
• Connect AI capabilities with REST APIs, enterprise systems and relevant AWS services.
• Test, debug and troubleshoot AI-enabled applications, addressing implementation issues and evaluating technical trade-offs.
• Work closely with other developers and architecture stakeholders to design solutions, resolve technical problems and deliver maintainable application code.

Must Haves

• 3+ years of hands-on Python development experience, with the ability to build and troubleshoot application code rather than relying solely on analytical notebooks or high-level solution design.
• Hands-on experience with Amazon Bedrock and agentic AI, including direct implementation of AI model integrations or agent-enabled application workflows.
• Practical AWS application-development experience and a strong understanding of cloud fundamentals. Relevant services include Lambda, S3, ECS or EKS, Glue and RDS; experience with every listed service is not required.
• Strong software engineering fundamentals, including backend development, REST APIs, application integration, testing and debugging.
• Demonstrated ability to explain personally owned AI development work, including the business problem, implementation approach, technical challenges and resolution.
• Strong architectural problem-solving skills, including the ability to discuss how a solution behaves under different operating conditions and how issues would be investigated and addressed.

Nice to Haves

• Hands-on Java development experience, particularly Spring Boot, REST services and microservices.
• Experience building retrieval-augmented generation (RAG) solutions or connecting AI models with enterprise knowledge sources.
• Experience with Kafka or other event-driven integrations, together with relational database development.
• Capital markets, investment banking or broader financial services experience.
• Additional AWS experience with IAM, EC2, CloudFormation, SNS/SQS and CloudWatch.
• A degree in Computer Science, Computer Engineering or a related discipline.

Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.