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Added 3 mins ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Jobright is a rapidly growing AI job search platform in the U.S. that is dedicated to transforming the job search experience. They are seeking an entry-level AI Engineer to build and refine…
Added 3 mins ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 3 mins ago
Senior Full Stack Developer – Cloud & Platform Engineering
Yochana
Calgary, AB
Full-time
You will, however, be joining our Power Platform Center of Excellence and while the day to day work is conventional software engineering, the platform is part of the environment you'll be…
Added 4 mins ago
Senior Project Manager - Shopify Expert
Avex Designs
Remote, Canada
Full-time · Remote
Specialize in platform migrations to Shopify from Magento, Salesforce, and custom platforms.
Added 19 mins ago
Principal AI Engineer - Context - Agents and Context
Elastic
Canada
…the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to…
Added 31 mins ago
Senior Java Software Engineer
RE Partners
Mississauga, ON
Contract
We are seeking an experienced, hands-on Senior Java Engineer to join a newly established Deployment Security and Software Reliability Engineering team supporting one of the world’s largest…
Added 31 mins ago
Dynamics/Power platform engineer
Lorven Technologies Inc.
Montreal, QC
Contract
…This role requires a deep understanding of the Dynamics 365 CE platform, including customization, configuration, and integration with other…
Added 1 hour ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Jobright is your personal AI job search agent that transforms the way you do job search. They are seeking a Cloud Engineer to provision and manage cloud infrastructure, build CI/CD…
Added 1 hour ago
Lead Test Engineer
Genesys
Toronto, ON · ON · AB · BC
Full-time
At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations…
Added 1 hour ago
Maintenance Repair Analyst
The Seaboard Transport Group
Toronto, ON · North York, ON
Full-time
…theoretical engineering with practical shop reality; professional engineer, Certified Engineering Technologist/Technician, or comparable maintenance credential is an…
Added 1 hour ago
Dynamics/Power Platform Engineer
J&M Group
Montreal, QC
Contract
We are hiring for a Dynamics/Power Platform Engineer. This role focuses on developing, customizing, and integrating Microsoft Dynamics 365 CE solutions with enterprise applications.
Added 1 hour ago
Core SRE engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
Experience on Ansible Automation Platform administration highly desired.
Added 1 hour ago
Data Engineer
Arkhya Tech. Inc.
Canada
Full-time
10+ years of experience as a Data Engineer or related role
Added 1 hour ago
Senior Android Developer
MapsPeople
Toronto, ON
Full-time
You are a collaborative engineer who enjoys working on shared platforms rather than isolated features. You take pride in building clean, reliable SDKs that others depend on and enjoy…
Added 1 hour ago
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
$285,000 to $325,000 USD / year
Full-time
Position: Principal Engineer, Software Engineering / AI Engineer
Added 1 hour ago
AI/ML Platform Engineer (Cloud Infrastructure)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
Position: AI/ML Platform Engineer (Cloud Infrastructure)
Added 1 hour ago
Maintenance Repair Analyst
The Seaboard Transport Group
Moncton, NB
Full-time
…theoretical engineering with practical shop reality; professional engineer, Certified Engineering Technologist/Technician, or comparable maintenance credential is an…
Added 1 hour ago
Maintenance Repair Analyst
The Seaboard Transport Group
Dartmouth, NS
Full-time
…theoretical engineering with practical shop reality; professional engineer, Certified Engineering Technologist/Technician, or comparable maintenance credential is an…
Added 1 hour ago
Software Engineer II
Socure
Toronto, ON · Greater Toronto Area, Canada
Full-time
The Agentic AI Foundations team is building the core platform, systems, and primitives that enable Socure to transition from traditional software workflows to agent-native operations. As a…
Added 1 hour ago
Tests and Validations Specialists
EERS
Montreal, QC
Full-time
…of product design. Reporting to the Senior Hardware Design Engineer, and under supervision of the EMC specialist, we expect them to perform a variety of tasks ranging from design to…
Added 1 hour ago
Senior Data Engineer
MatchBox Consulting Group
Vancouver, BC
Contract
MatchBox Consulting Group is currently seeking a Senior Data Engineer for a 6 month contract role with a client of ours located in Vancouver.
Added 1 hour ago
Big Data Engineer
Themesoft Inc.
Toronto, ON
Contract
Schedule and manage jobs using AAP (Ansible Automation Platform) / Control-M / cron
Added 1 hour ago
Platform Engineer - AI/ML Infrastructure
K&K Global Talent Solutions INC.
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Position: Platform Engineer - AI/ML Infrastructure
Added 1 hour ago
Senior Full Stack Engineer
OpenTable
Toronto, ON
As an engineer on the Diner Growth – Blog Team, you’ll take ownership of evolving our CMS and web platform. You’ll work across the full stack-from our existing WordPress, PHP, and Apache…
Added 1 hour ago
Sr. Technical Systems Analyst – Database Activity Monitoring (GCS)
RBC
Toronto, ON · Vancouver, BC · Halifax, NS
Full-time
…complex problems and developing innovative security solutions. We engineer tailor-made detections that will reduce risk to our organization, employees, and clients. We are seeking a skilled…

Elastic

Principal AI Engineer - Context - Agents and Context

Canada

Pay: $154,000 - $243,600 CAD
Posting language: English
Posted: Sep 22, 2026

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Original job description

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses.

As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic.

The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack.

What You Will Be Doing

Own the production improvement loop for Context Engine: understand how extraction automations, retrieval tools and memory behave, based on offline evaluations and customer conversations and telemetry. You help find the failure modes, fix them, and prove the fix.
Define how we iterate on agents and skills safely: versioning and rollout of prompts, skills and automations, regression coverage, staged and shadow evaluation, and the guardrails that let us change behaviour without breaking customers.
Design the telemetry we need to make data-informed engineering decisions: what to capture from agent traces, tool calls and knowledge retrieval, how it lands in Elasticsearch, and how it feeds evaluation, dashboards and the feedback loop.
Partner with the data science team on evaluation strategy: golden datasets, evaluators to gate on quality, latency and cost.
Raise the bar across the team: review designs and PRs, mentor engineers in eval-driven development, and write the technical proposals that shape the roadmap.

What You Bring

10+ years of software engineering experience, with the recent years spent shipping and operating AI-driven products on real production traffic, ideally products with public APIs and data models that had to evolve without breaking customers.
A track record of eval-driven product improvement: you have diagnosed agent or LLM behaviour from traces and user feedback, designed the evaluation that exposed the problem, shipped the fix and measured the outcome.
Direct experience building agents with state and memory, and iterating on prompts, skills and tool behaviour safely in production.
Familiarity with MCP, including exposing public MCP servers and tools.
Experience designing telemetry for AI systems, and using it to make engineering and product decisions.
Experience running product experiments end to end: instrumentation, unattended execution, and interpreting results.
Experience building products with public APIs and evolving data models, and the judgement that comes with maintaining external contracts as a product changes.
Strong backend engineering skills in either Python or TypeScript: APIs, stateful workflows, data pipelines and production services.
Comfort working with data scientists, engineers, and product managers as peers, translating between measurement and shipping, and communicating trade-offs clearly.
A pragmatic, low-ego style suited to a distributed, async-first team.

Bonus Points

Experience with agent frameworks such as LangGraph, CrewAI, Claude Agent SDK, or similar.
Agentic retrieval experience, including knowledge representation.
Practical Elasticsearch experience.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:

$154,000 - $243,600 CAD

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [email protected]. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

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More about this job

Responsibilities

You will own the end-to-end production improvement loop for the Context Engine, including agent behavior, evaluation, and telemetry. You will also define safety guardrails for agentic behavior and collaborate with data science and engineering teams to iterate on product quality.

Requirements

The role requires 10+ years of software engineering experience with a focus on shipping and operating AI-driven products in production. You must have strong backend skills in Python or TypeScript and a proven track record of eval-driven product improvement.

Skills

Artificial Intelligence
TypeScript
Python
Elasticsearch
Agentic workflows
LLM evaluation
Telemetry design
Data pipelines
API development
Stateful workflows
Prompt engineering
Software architecture
Product experimentation
Mentoring
Technical writing
Distributed systems

Benefits

Stock program
Company-matched Registered Retirement Savings Plan
Health coverage
Flexible locations and schedules
Paid vacation
Donation matching
Volunteer time off
Parental leave

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Elasticsearch
TypeScript
Python
LLM
Agents
Telemetry
Evaluation
MCP
LangChain
Data Science
Backend Engineering
Production Systems
API
Stateful Workflows
Data Pipelines
Prompt Engineering
Regression Testing
Shadow Evaluation
Guardrails
Distributed Systems
Async-first
Knowledge Representation
LangGraph
CrewAI
Claude Agent SDK
Observability
Search AI
Product Engineering
Technical Roadmap

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