Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 100 days ago

Jr.Gen AI Engineer

KData Inc.30 open roles

Where
Brampton East, Ontario, Canada
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowJr.Gen AI EngineerKData Inc. · Brampton East, Ontario, Canada

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on KData Inc.'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 100 days ago

The posting

Junior Generative AI Engineer (2+ Years Experience) About the Role We are looking for a motivated Junior Generative AI Engineer to join our team in Brampton. In this role, you will help design, develop, and deploy agentic AI-powered applications, AI agents, and RAG-based systems. You will play a key role in integrating GenAI technologies with our enterprise data platforms, ensuring solutions are robust, safe, and deliver real business value. Key Responsibilities AI Engineering - Design, develop, test, and deploy Agentic AI-powered applications and AI agents. - Build and enhance Generative AI and machine learning solutions that deliver business value. - Implement Retrieval Augmented Generation (RAG), prompt engineering, and AI workflow automation patterns. - Develop reusable APIs, services, and components to accelerate AI delivery. Data & Platform Integration - Integrate AI solutions with enterprise applications, data platforms, and business processes. - Develop and optimize data pipelines and services that support AI applications. - Contribute to enterprise AI platforms including Gemini Enterprise, Vertex AI, Databricks, and related technologies. Governance & Operations - Apply AI governance, security, privacy, and Responsible AI standards. - Support production deployment, monitoring, troubleshooting, and continuous improvement of AI solutions. - Document technical designs and collaborate with cross-functional teams to ensure successful delivery. Requirements Education & Experience - Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Technology, Engineering, or a related field (equivalent experience considered). - Google Cloud, Vertex AI, ML Engineer, Data Engineer, or related cloud / AI certifications. - Experience building enterprise copilots, chatbots, document intelligence solutions, workflow assistants, or agentic applications. - Experience implementing observability, quality evaluation, red-teaming, hallucination mitigation, and safety controls for AI systems. - 2+ years of experience in software engineering, data engineering, machine learning engineering, AI engineering, or related technology delivery roles. Technical Skills - Strong programming skills in Python and SQL; experience with APIs, Git, CI/CD, testing, and software engineering practices. - Experience with Generative AI, LLMs, RAG, vector search, embeddings, prompt engineering, agents, and model evaluation. - Experience with Google Cloud Platform, Vertex AI, Gemini Enterprise, or comparable cloud AI platforms is preferred. - Experience with Databricks, Spark / PySpark, Delta Lake, Unity Catalog, MLflow, and modern lakehouse patterns is preferred. - Familiarity with AI frameworks and tools such as LangChain, LangGraph, CrewAI, AutoGen, FastAPI, Streamlit, Docker, Kubernetes, or related technologies is an asset. - Understanding of data governance, data quality, metadata, lineage, security, privacy, and Responsible AI practices. Soft Skills - Strong problem-solving skills with the ability to translate business needs into practical, scalable engineering solutions. - Clear communication skills, including the ability to explain AI concepts, risks, limitations, and trade-offs to technical and non-technical stakeholders. - Demonstrated ownership mindset with a focus on delivery, production reliability, documentation, and continuous improvement. - Ability to work collaboratively across data, AI, platform, cybersecurity, governance, architecture, business, and vendor teams. - Curiosity and a learning mindset to keep pace with emerging AI technologies while applying sound enterprise judgment.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against KData Inc.'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on KData Inc.'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    KData Inc.'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.