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Added 25 mins ago
ES
Software Engineer (Java, Python & Linux)
Enterprise Solutions Inc.
Toronto, ON
- Contract
We are looking for an experienced Software Engineer with strong hands-on expertise in Java, Python, Linux, and CI/CD to join a dynamic DevSecOps team supporting a large-scale, highly…
Added 25 mins ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 25 mins ago
D
Data Tech Lead/Architect (AWS)
DEDICATTED
Canada
- Full-time
Proficiency in SQL and experience with Python, Java, or Scala.
Added 25 mins ago
D
Forward Deployed Full-Stack Engineer: Next.js + AWS AgentCore
DEDICATTED
Canada
- Full-time
Working knowledge of Python (many agent frameworks and AgentCore SDKs are Python-first).
Added 40 mins ago
A
Senior Java Software Engineer
Artech
Mississauga, ON
- Contract
We are seeking a Senior Software Developer with deep Java technology expertise to work directly with our Fintech clients in the Spread Products space. This is a hybrid…
Added 40 mins ago
ES
Software Engineer (Java, Python & Linux)
Enterprise Solutions Inc.
Mississauga, ON
- Contract
It will be good if candidate has experience in both Java and Python, Linux and CICD.
Added 40 mins ago
VS
Data Science Developer
vTech Solution Canada
Toronto, ON
- Contract
Strong programming skills, particularly Python and SQL, with experience developing production-quality applications.
Added 40 mins ago
SL
Python Developer
Staffingine LLC
Toronto, ON
- Full-time
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 55 mins ago
C
Sr. Financial Analyst, Treasury Product Control
CIBC
Toronto, ON
- Full-time
You can demonstrate solid understanding and experience in working with Treasury products in a previous role in Finance, Accounting, Product Control environment, and have proficiency in data…
Added 1 hour ago
AI Engineer – Market Surveillance
Capco
Toronto, ON
Use Python, SQL and relevant AI technologies, including machine learning (ML) or large language models (LLMs), to analyse trading activity and support surveillance automation.
Added 1 hour ago
IF
Data Scientist
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Is proficient in Python and SQL, as well as various statistical and machine learning techniques;
Added 1 hour ago
RT
Machine Learning Engineer
Russell Tobin
Toronto, ON
- Contract
Strong Python and machine-learning engineering skills with demonstrated experience taking models from experimentation into reliable production environments. Tech stack: Python, SQL, Power…
Added 1 hour ago
NS
Azure Databricks Solutions Architect
N2P Systems
Toronto, ON
- Full-time
Strong understanding of the Databricks Data Intelligence Platform, including Databricks SQL, Workflows, Lakeflow, MLflow, Serverless, and performance optimization.
Added 1 hour ago
BS
Azure Databricks Platform engineer
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
Integrate Azure Databricks with ADLS Gen2, Azure Data Factory, Azure SQL, Azure Key Vault, and managed identities. Implement secure authentication and authorization using Microsoft Entra…
Added 1 hour ago
A
Business Intelligence Analyst
Apotex
Toronto, ON · North York, ON
- $83,958 to $139,930 CAD / year
Basic Python skills to write simple scripts or notebooks for data preparation, automation, and lightweight AI experimentation.
Added 1 hour ago
Senior DevOps & Python Platform Engineering Specialist
Capgemini
Montreal, QC
Design, develop, and maintain scalable content management solutions, integrations, and automation using Python (primary) and Java (secondary).

DEDICATTED

Forward Deployed Full-Stack Engineer: Next.js + AWS AgentCore

Canada

Full-time

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Job details

Job type: Full-time
Experience: 5+ years of professional software development experience, with strong full-stack skills.
Posting language: English
Posted: Nov 5, 2026

Original job description

We are looking for a Senior Full-Stack Engineer to join our team. You will work directly with our clients to design and build complex, production-grade Proofs of Concept for agentic AI solutions on AWS, often with demanding data integration.

You’ll work side by side with our Data Architects and AI Architects. You’ll turn ambiguous business problems into working software fast: agentic backends on Amazon Bedrock AgentCore, data pipelines that feed them, and polished Next.js interfaces that show the value to stakeholders. We expect you to build with AI-assisted development tools and to use them well: fast, but with code you’d be happy to own in production.

Engagement: full-time, long-term.

Location: ON/QC (ideally), Canada. !!! Readiness for business trips to Montreal in the next 3 months.

Responsibilities:

Build end-to-end PoCs and MVPs for enterprise clients, from discovery and solution design to a working demo and handover.
Build and deploy AI agents.
Integrate agents with client data sources and systems: relational and NoSQL databases, data lakes, internal APIs, SaaS platforms. Expose them as tools via AgentCore Gateway / MCP.
Develop full-stack web applications with Next.js (App Router, Server Components, API routes) and TypeScript, including streaming chat and agent UIs.
Build data ingestion and transformation pipelines with Data Architects (e.g. S3, Glue, Lambda, Athena/Redshift, Aurora PostgreSQL).
Implement RAG and retrieval solutions.
Use AI coding assistants (Claude Code, Cursor, Kiro, or similar) as a core part of your workflow, while keeping code quality, test coverage and security high.
Join client workshops, present technical solutions and demos, and explain trade-offs to technical and business audiences.
Contribute to internal accelerators, reusable components and best practices for agentic AI delivery.

Requirements:

5+ years of professional software development experience, with strong full-stack skills.
Strong proficiency in TypeScript and Node.js; hands-on production experience with Next.js and React.
Working knowledge of Python (many agent frameworks and AgentCore SDKs are Python-first).
Solid hands-on experience with AWS: Lambda, API Gateway, S3, IAM, DynamoDB/RDS, ECS/containers, CloudWatch.
Practical experience building LLM-powered applications on Amazon Bedrock. Experience with Bedrock AgentCore is a strong advantage.
Experience with agent frameworks such as Strands Agents, LangGraph/LangChain, LlamaIndex or CrewAI, and an understanding of tool calling, memory, and multi-step agent orchestration.
Experience with complex data integrations: SQL/PostgreSQL, ETL/ELT patterns, working with messy real-world client data.
A proven AI-assisted development workflow: you know how to prompt, review, test and refactor AI-generated code, and where not to trust it.
Experience with Docker, CI/CD, and infrastructure as code (CDK or Terraform).
Comfortable working in ambiguous, fast-paced, client-facing environments; able to own a PoC end-to-end.
Excellent communication skills; confident in client meetings and demos. English proficiency: B2+ (C1 preferred).

Will be a plus:

AWS certifications (Solutions Architect, Developer, Machine Learning / Generative AI).
Experience with Model Context Protocol (MCP) and A2A protocols.
Experience with LLM evaluation, guardrails and observability (Bedrock Guardrails, OpenTelemetry, LangSmith/Langfuse).
Background in consulting, pre-sales engineering, or forward-deployed / solutions engineering roles.
Experience with streaming data (Kinesis, Kafka/MSK) or analytics platforms (Redshift, Databricks, Snowflake).

Working Conditions:

16 days of paid time off.
Official public holidays.
Participation in company events.
Health insurance.
Engaging projects with opportunities for career growth.
Certifications, Udemy courses, Claude/other tools needed.
Corporate events, team-building activities.
Gifts and recognition from the company.
A friendly, open, and supportive team culture without excessive bureaucracy.

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More about this job

Responsibilities

Build and deliver end-to-end enterprise AI proofs of concept and MVPs, including agents on Amazon Bedrock AgentCore, integrations with client data and systems, data pipelines, and polished Next.js applications. Collaborate with clients and architecture teams on discovery, solution design, demos, and handover, while contributing reusable components and delivery practices.

Requirements

Requires at least five years of software development experience, strong TypeScript, Node.js, React, and Next.js skills, working Python knowledge, and hands-on AWS and Amazon Bedrock experience. Candidates should also have experience with agent frameworks, complex data integrations, AI-assisted development, Docker, CI/CD, infrastructure as code, and client-facing communication.

Skills

TypeScript
Node.js
Next.js
React
Python
AWS
Amazon Bedrock
Bedrock AgentCore
AI Agent Development
Agent Frameworks
Data Integration
ETL/ELT
RAG
Docker
CI/CD
Infrastructure as Code

Benefits

Paid Time Off
Public Holidays
Health Insurance
Career Growth Opportunities
Certifications and Training Courses
Company Events
Team-Building Activities
Gifts and Recognition
Supportive Team Culture

Visa sponsorship

Not detected in the job text

Keywords

TypeScript
Node.js
Next.js
React
Python
AWS
Amazon Bedrock
Bedrock AgentCore
AgentCore Gateway
Model Context Protocol
Strands Agents
LangGraph
LangChain
LlamaIndex
CrewAI
AI Agents
Agent Orchestration
RAG
SQL
PostgreSQL
ETL/ELT
Amazon S3
AWS Glue
AWS Lambda
Amazon Athena
Amazon Redshift
Aurora PostgreSQL
Docker
CI/CD
Terraform

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