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HomeCompaniesAltamlSenior Full Stack Software Engineer

Senior Full Stack Software Engineer

Altaml · Toronto · Hybrid · Active · CAD 130,000–CAD 150,000 / year · Lever

Job facts

FieldValue
CompanyAltaml
TitleSenior Full Stack Software Engineer
Normalized title-
Department / teamAltaML / Engineering
LocationToronto, ON, Canada
Work modelHybrid / Hybrid
Employment typeFull Time
SalaryCAD 130,000–CAD 150,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-04-22 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Altaml.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Toronto.Open
Department jobsActive postings in AltaML.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAltaml
Sourcee74ef129-b358-456e-b29c-88c66ee0192b
ATS providerLever

Description

We're looking for a Senior Full Stack Software Engineer who is passionate about building high-quality software in an AI-native way. Someone who treats Claude and the latest agentic coding tools as a core part of their craft, not a novelty. In this role, you will own technical delivery end-to-end, from shaping the architecture of ML-powered applications to leading implementation across cloud services, APIs, and modern front-end frameworks, with Claude Code, the Claude Agent SDK, and the Claude API woven into how you design, build, and ship. You will act as the technical backbone of your project pod, balancing hands-on development with technical leadership, architectural decision-making, and client-facing collaboration. You'll lead epic-level solution design, mentor developers on how to get the most out of Claude in their day-to-day workflows, contribute to shared internal frameworks and skills/plugins, and help shape how we evaluate and deploy emerging AI engineering tooling. You will thrive in this role if you are: A builder at heart who leans on Claude Code to spin up prototypes in hours and scale them into production-grade systems with confidence. Fluent in agentic development patterns. Writing good specs for Claude, structuring repos so AI agents can navigate them, reviewing AI-generated code critically, and knowing when to delegate versus when to hand-code. A strong communicator who can translate between business requirements, technical realities, and what modern AI tooling actually makes feasible. A decision-maker who brings clarity to ambiguous technical challenges and can evaluate when an LLM-in-the-loop is the right solution versus traditional software. Excited by ML-enabled product development and eager to bridge software engineering with intelligent automation and agentic workflows. What You'll Do: Reduced Project Risk: Technical risks on projects are significantly reduced through proactive ownership of epic-level technical design, execution, and cross-team dependency resolution accelerated by effective use of Claude for research, code review, and rapid exploration of design alternatives. Improved Technical Decision-Making: The team makes better technology choices through thorough research, evaluation, and documentation of potential solutions, including informed decisions on when and how to apply Claude, MCP servers, and agentic tooling versus conventional approaches. Stronger Client Confidence: Client and stakeholder confidence is increased by leading technical discovery sessions and acting as a technical SME during project discussions, including on the pragmatic use of LLMs and AI-assisted development in client deliverables. Feature & Epic Implementation: Leads implementation for features spanning multiple user stories or services, using Claude Code and agent-driven workflows to accelerate delivery without sacrificing quality. Architecture & Solution Design: Leads the architecture design for moderately complex solutions, often involving multiple services or systems, and chairs technical reviews including architecting LLM-powered features, agent tool integrations, and MCP server designs. AI Engineering Leadership: Champions best practices for working with Claude across the pod, prompt design, skill and subagent creation, context management, MCP integrations, evaluation of AI-generated code, and secure / cost-aware usage of the Claude API. Mentorship & Technical Leadership: Provides technical leadership within the pod, mediates code review disputes, contributes new features and skills to shared AltaML libraries, and assists in the hiring process by conducting technical interviews. Coordinates the work of other engineers and levels them up on modern AI-assisted development. Client Engagement & Discovery: Leads technical discovery sessions with clients to clarify requirements, define technical scope, and identify where Claude-powered features or agentic workflows unlock real product value. Testing & Quality Strategy: Implements higher-level testing strategies, including integration and end-to-end tests for deployed solutions, plus evaluation harnesses for LLM-powered features (regression tests for prompts, agent behaviours, and tool use). What You Bring: Degree or equivalent work experience in Computer Science, Software Development, or similar 5+ years of experience as a full stack developer Demonstrable, hands-on experience using Claude (Claude Code, claude.ai, or the Claude API) as a daily driver for real software engineering work, not just casual chat use Proven skills at taking ideas from conception to production, including shipping features that are partly or fully built with AI-assisted workflows Strong working experience with Cloud Services (ideally Azure) Strong working experience in a modern object-oriented language Strong working experience writing clean, readable, and easily maintainable code, and a clear point of view on reviewing and hardening AI-generated code Experience with Unit and API testing (e.g., xUnit, Postman, or others) Experience working in an agile environment Experience with Docker Proficiency with Version Control systems (VCS), including working effectively with AI agents in a git-based workflow

Full job record

Job ID88caa9d61bd4b980930eb8b85f9ddd7ca1adca68
Org ID3fff0062-cf6a-4450-862c-9701d2df3edc
Source IDe74ef129-b358-456e-b29c-88c66ee0192b
Board IDe74ef129-b358-456e-b29c-88c66ee0192b
Providerlever
Provider Job Key3731e215-cbad-4a2d-9bd2-3e60bb19096e
TitleSenior Full Stack Software Engineer
Normalized Title
Statusactive
Activeyes
Location TextToronto
DepartmentAltaML
TeamEngineering
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryCanada
RegionON
CityToronto
Salary RawCAD 130000-150000 per-year-salary
Salary Min130,000
Salary Max150,000
Salary CurrencyCAD
Salary Periodyear
Source URLhttps://jobs.lever.co/altaml/3731e215-cbad-4a2d-9bd2-3e60bb19096e
Apply URLhttps://jobs.lever.co/altaml/3731e215-cbad-4a2d-9bd2-3e60bb19096e/apply
First Seen At2026-05-29 07:01:35Z
Last Seen At2026-06-06 07:57:22Z
Last Checked At2026-06-06 07:57:22Z
Last Changed At2026-05-29 07:01:35Z
Inactive At
Source Posted At2026-04-22 21:30:02Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=altaml/date=2026-06-06/2026-06-06T07-57-22-015Z-a35992f8160c5e209039c91a1858ae2bc8a9551c3a7c1a28e0427572485e8abd.json
Event Fields
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  "last_changed_at": "2026-05-29T07:01:35.569Z",
  "active_status": "active"
}
Parsed Structured
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Extensions
{}
Native Structured
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      "text": "What You'll Do:",
      "content": "<div>\n\n<li><strong><em>Reduced Project Risk:</em> </strong>Technical risks on projects are significantly reduced through proactive ownership of epic-level technical design, execution, and cross-team dependency resolution accelerated by effective use of Claude for research, code review, and rapid exploration of design alternatives.</li>\n<li><strong><em>Improved Technical Decision-Making:</em></strong> The team makes better technology choices through thorough research, evaluation, and documentation of potential solutions, including informed decisions on when and how to apply Claude, MCP servers, and agentic tooling versus conventional approaches.</li>\n<li><strong><em>Stronger Client Confidence:</em> </strong>Client and stakeholder confidence is increased by leading technical discovery sessions and acting as a technical SME during project discussions, including on the pragmatic use of LLMs and AI-assisted development in client deliverables.</li>\n<li><strong><em>Feature &amp; Epic Implementation:</em> </strong>Leads implementation for features spanning multiple user stories or services, using Claude Code and agent-driven workflows to accelerate delivery without sacrificing quality.</li>\n<li><strong><em>Architecture &amp; Solution Design:</em></strong> Leads the architecture design for moderately complex solutions, often involving multiple services or systems, and chairs technical reviews including architecting LLM-powered features, agent tool integrations, and MCP server designs.</li>\n<li><strong><em>AI Engineering Leadership:</em> </strong>Champions best practices for working with Claude across the pod, prompt design, skill and subagent creation, context management, MCP integrations, evaluation of AI-generated code, and secure / cost-aware usage of the Claude API.</li>\n<li><strong><em>Mentorship &amp; Technical Leadership:</em> </strong>Provides technical leadership within the pod, mediates code review disputes, contributes new features and skills to shared AltaML libraries, and assists in the hiring process by conducting technical interviews. Coordinates the work of other engineers and levels them up on modern AI-assisted development.</li>\n<li><strong><em>Client Engagement &amp; Discovery:</em> </strong>Leads technical discovery sessions with clients to clarify requirements, define technical scope, and identify where Claude-powered features or agentic workflows unlock real product value.</li>\n<li><strong><em>Testing &amp; Quality Strategy:</em></strong> Implements higher-level testing strategies, including integration and end-to-end tests for deployed solutions, plus evaluation harnesses for LLM-powered features (regression tests for prompts, agent behaviours, and tool use).</li>\n\n</div>"
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      "text": "What You Bring:",
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  "country": "CA",
  "createdAt": 1776893402672,
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  "categories": {
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