Junior Gen AI Engineer

EXL

Staff Generative AI Engineer specializing in Generative and Agentic AI applications. Developing scalable AI systems and mentoring engineering talent.

Posted 6/23/2026full-timeToronto • 🇨🇦 CanadaJunior💰 CA$110,000 - CA$130,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGRPCKubernetesPython

About the role

Key responsibilities & impact

Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users
Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability
Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries
Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK
Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock
Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking
Build clean, well-tested RESTful and/or gRPC APIs with a strong focus on reliability, security, and performance
Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications
Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services
Contribute to platform architecture decisions and engineering best practices
Take applications from prototype through production deployment, hardening, and ongoing operation
Mentor and coach junior and mid-level engineers through code reviews, architecture discussions, and pair programming
Foster a culture of engineering excellence, knowledge sharing, and continuous improvement
Participate in technical design reviews and contribute to the professional growth of team members

Requirements

What you’ll need

10-15 years of professional software engineering experience with at least 3-5 years of experience building AI/ML software products
Bachelor’s degree in Computer Science or a related field (Master’s degree preferred)
Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance)
Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration, prompt engineering, and/or agentic workflows
Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock
Experience with agent frameworks (e.g., LangChain, LangGraph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB)
Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure
Strong understanding of API design, distributed systems, and cloud-native architecture
Proven track record of taking systems from design through production deployment and operation
Experience with containerization and orchestration (Docker, Kubernetes)
Knowledge of Generative AI Risk Management frameworks (NIST RFM)
Experience supporting developer platforms or internal tooling
Experience writing design documents or helping define engineering standards

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 💰 $2M Venture Round on 2015-01 Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Junior Gen AI Engineer 🔥 1 hour ago 🏢🏡 Toronto – Hybrid 💵 $110k - $130k / year ⏰ Full Time 🟢 Junior 🤖 AI Engineer AWS Azure Cloud Distributed Systems Docker Google Cloud Platform GRPC Kubernetes Python Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users
Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability
Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries
Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK
Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock
Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking
Build clean, well-tested RESTful and/or gRPC APIs with a strong focus on reliability, security, and performance
Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications
Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services
Contribute to platform architecture decisions and engineering best practices
Take applications from prototype through production deployment, hardening, and ongoing operation
Mentor and coach junior and mid-level engineers through code reviews, architecture discussions, and pair programming
Foster a culture of engineering excellence, knowledge sharing, and continuous improvement
Participate in technical design reviews and contribute to the professional growth of team members 🎯 Requirements
10-15 years of professional software engineering experience with at least 3-5 years of experience building AI/ML software products
Bachelor’s degree in Computer Science or a related field (Master’s degree preferred)
Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance)
Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration, prompt engineering, and/or agentic workflows
Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock
Experience with agent frameworks (e.g., LangChain, LangGraph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB)
Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure
Strong understanding of API design, distributed systems, and cloud-native architecture
Proven track record of taking systems from design through production deployment and operation
Experience with containerization and orchestration (Docker, Kubernetes)
Knowledge of Generative AI Risk Management frameworks (NIST RFM)
Experience supporting developer platforms or internal tooling
Experience writing design documents or helping define engineering standards Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs AI Engineer 🕒 May 20 Colliers 10,000+ employees 🏠 Real Estate Website LinkedIn All Job Openings AI Engineer responsible for architecting AI agents and generative workflows at Colliers. Collaborate with stakeholders to build intelligent systems on Google Cloud Platform. 🏢🏡 Toronto – Hybrid 💵 $129.7k - $142.1k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 AI Engineer Cloud Google Cloud Platform Python SQL Associate AI Engineer 🕒 May 13 ShyftLabs 11 - 50 🤖 Artificial Intelligence 🏢 Enterprise Website LinkedIn All Job Openings Associate AI Engineer at ShyftLabs working on AI-powered features and backend development. Collaboration with teams to deliver scalable solutions for real-world applications. 🏢🏡 Toronto – Hybrid 💵 $60k - $80k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 AI Engineer AWS Cloud Google Cloud Platform JavaScript Microservices Node.js Python PyTorch Scikit-Learn SQL Tensorflow TypeScript View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

PythonGenerative AIAgentic AILLM integrationprompt engineeringAPI designcontainerizationorchestrationcloud-native architecturetesting

Soft Skills

mentoringcoachingknowledge sharingcontinuous improvementengineering excellencecollaborationcommunicationleadershipproblem-solvingdesign review

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer Science