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Added 7 hours ago
O
Manager, Software Development
OpenText
Richmond Hill, ON
- Full-time
…software engineers and technical specialists working across Java-based cloud services, Python-based AI and document intelligence, React user experiences, enterprise integrations, and…
Added 9 hours ago
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Senior Software Developer In Test - Python Automation Engineer
Telesat
Ottawa, ON
- Contract
We are seeking a highly skilled Senior Python Automation Engineer to design, build, and evolve production-grade automation frameworks, engineering tools, and automated validation for…
Added 10 hours ago
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VP Senior Software Engineer – Java & Distributed Systems
Citi
Mississauga, ON
- Full-time
We're looking for a senior engineer who thinks clearly across the full product development lifecycle, from design through to production, and brings an AI-first mindset to how they work.
Added 11 hours ago
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Java Software Engineer
Synechron
Calgary, AB
- Full-time
We are looking for a Java developer to join our team and help deliver key initiatives. The candidate should be a solid Java programmer, with strong design and implementation fundamentals.…
Added 12 hours ago
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AVP Applications Development Sr Programmer Analyst
Citi
Mississauga, ON
- Full-time
Build distributed microservices that power critical financial systems as a Senior Software Engineer, Java Microservices at Citi. You will design, develop, and implement scalable backend…
Added 13 hours ago
KG
PKI & Certificate Automation Engineer
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: PKI & Certificate Automation Engineer
Added 13 hours ago
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Lead Python + AI
Digitive
Canada
- Contract
We are looking for a Lead Python AI Engineer to build robust, AI-powered API services and agentic workflows. In this role, you will bridge the gap between traditional backend systems and…
Added 15 hours ago
PG
Software Engineer with AI Experience
Pacer Group
Toronto, ON
- Contract
Strong expertise in Python and Java, API development, microservices, and enterprise application modernization.

Digitive

Lead Python + AI

Canada

Contract

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Job details

Job type: Contract
Experience: AI SDK Integration: 1–2+ years of hands-on experience integrating AI SDKs (OpenAI, Anthropic/Claude, AWS Bedrock, or equivalent) in production environments
Posting language: English
Posted: Oct 28, 2026

Original job description

We are looking for a Lead Python AI Engineer to build robust, AI-powered API services and agentic workflows. In this role, you will bridge the gap between traditional backend systems and modern language models, focusing on secure and scalable LLM interactions with internal systems, vector databases, and external tools via orchestration frameworks.

We treat LLMs not as magic, but as components in a secure, scalable distributed system. If you take pride in API reliability, graceful failure handling, and production-grade AI integration, we’d love to talk to you.

Responsibilities

End-to-End Ownership: Own API contracts and service reliability end-to-end. AI edge cases must fail gracefully without compromising system integrity
Rigorous Systems Engineering: Integrate LLMs with a strong engineering foundation - baking in evaluation, comprehensive observability, robust fallback handling, and cost awareness
Reusable Frameworks: Build reliable, reusable orchestration frameworks and logic designed for downstream developer consumption
Design and build scalable backend API services and advanced LLM orchestration layers
Implement and maintain complex RAG (Retrieval-Augmented Generation) pipelines, covering document ingestion, chunking, embedding, and retrieval optimization
Develop and connect agent tools using LangChain, LangGraph, and potentially MCP (Model Context Protocol)
Ensure top-tier security, privacy, enterprise-grade observability, and comprehensive test coverage across all backend workflows
Contribute actively to architecture decisions and engineering standards within your pod
Collaborate cross-functionally with frontend engineers, data engineers, and infrastructure teams

Requirements

Backend Experience: 7+ years of backend engineering with a heavy focus on microservices and distributed systems, using Python for high-performance backend services and cloud-native APIs
Cloud & Infrastructure: Hands-on experience with AWS, Docker, ECS/EKS, and RESTful APIs
Security First: Proven experience with secure coding practices and strong authentication/authorization (auth/authz) fundamentals
Agentic Frameworks: Practical, hands-on experience with frameworks such as LangChain, LlamaIndex, or LangGraph
AI SDK Integration: 1–2+ years of hands-on experience integrating AI SDKs (OpenAI, Anthropic/Claude, AWS Bedrock, or equivalent) in production environments
AI Observability & Evaluation: Familiarity with AI evaluation tooling or real-time APM platforms (e.g., LangSmith, Langfuse, Arize)
RAG Pipelines: Practical experience working with vector databases (e.g., Amazon Kendra, OpenSearch), advanced embedding strategies, and retrieval systems

Nice to have

Frontend Fluency: 1–2+ years of experience with React and TypeScript
Scale & Deployment: Experience deploying applications to EKS environments at scale
Interoperability & Security: Knowledge of agent interoperability patterns (MCP) and identity/security domain models (IAM, CIAM)
Secondary Languages: Professional proficiency in Java, No

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More about this job

Responsibilities

Lead the design and development of scalable Python API services and LLM orchestration, including complex RAG pipelines and agent tools. Own service reliability, security, observability, evaluation, testing, and reusable frameworks while contributing to architecture and collaborating across engineering teams.

Requirements

Requires 7+ years of backend engineering experience focused on Python, microservices, and distributed systems, plus hands-on experience with AWS, Docker, ECS/EKS, REST APIs, and secure authentication and authorization. Candidates should have practical experience with agent frameworks, 1–2+ years integrating AI SDKs in production, and familiarity with AI evaluation and observability tools, vector databases, embeddings, and retrieval systems.

Skills

Python
Backend Engineering
Microservices
Distributed Systems
AWS
Docker
ECS/EKS
RESTful APIs
Authentication And Authorization
LangChain
LangGraph
LlamaIndex
AI SDK Integration
RAG Pipelines
Vector Databases
React And TypeScript

Visa sponsorship

Not detected in the job text

Keywords

Python
Microservices
Distributed Systems
AWS
Docker
ECS
EKS
RESTful APIs
LLM Orchestration
LangChain
LangGraph
LlamaIndex
MCP
RAG
Document Ingestion
Chunking
Embeddings
Vector Databases
Amazon Kendra
OpenSearch
OpenAI
Anthropic Claude
AWS Bedrock
LangSmith
Langfuse
Arize
React
TypeScript
IAM
CIAM

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