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1–2 jobs· newest first

Staff AI EngineerNew
Clearer.io · Remote, Canada+2 more
$90K–$115KRemote · Full-time · Senior
Principal Software Engineer - Wealth Technology
Schroders · London, United Kingdom
Senior

+10K new in the last hour

Staff AI Engineer

Clearer.io · Posted Nov 13, 2026

Remote, Canada +2 more
Remote
Full-time · Senior
$90K–$115K per year

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Lead the design, implementation, and evaluation of agentic AI solutions that enhance eCommerce platforms, collaborating with product and engineering teams across the UK, Vietnam, and globally.

Locations (3)

Toronto, Canada
United Kingdom
Ireland

Compensation

UK: GBP 90,000 – 100,000 a year Dublin, Ireland: EUR 105,000 – 115,000 a year

Responsibilities

Assess new agent capabilities, protocols, models and infrastructure and recommend adoption strategies
Review AI agent integration with the cloud intelligence layer, including discovery, merchant context, identity and permissions
Build working prototypes and reference code to validate concepts
Collaborate with product and engineering partners to transition experiments into production
Represent Clearer at industry events such as Shopify DotDev and build external relationships

Requirements

Bachelor's in Computer Science
Bachelor's in Engineering

Skills

Software engineering Cloud software APIs Integrations Shopify platform eCommerce Production AI Agent capabilities Protocols Models Infrastructure MCP A2A UCP ACP Architecture Design

Benefits

Full paid birthday day
Give Back Day
Bonusly peer recognition
Fully funded 5-night trip to global offices
Stopover travel stipend

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Principal Software Engineer - Wealth Technology

Schroders · Posted Nov 9, 2026

London, England, United Kingdom
Senior

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Lead full‑stack software engineering for Wealth Technology, designing, building and operating production‑grade APIs, data products and integrations.

Responsibilities

Design, build and operate full‑stack capabilities with depth in Python services, APIs and backend engineering
Create secure, reusable APIs and integration components exposing business capabilities across the Wealth technology estate
Build governed data products and pipelines, turning source data into reliable, documented services for applications, analytics and agents
Develop tools for agents to retrieve data, invoke workflows and complete actions with authentication, permissions, guardrails and auditability
Own engineering outcomes across the full lifecycle, including design, code, automated testing, deployment, observability, operational readiness and continuous improvement

Skills

Python FastAPI API design distributed systems enterprise integration authentication

event‑driven patterns

agent capabilities

Azure Data Factory

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