Head of AWS Software Engineer; Full Stack – Agentic AI

Overview

Cloudi

QS Ltd — AWS Advanced Consulting Partner

Location:

London, UK (hybrid) / Remote considered for exceptional candidates

Reports to:

CEO & Founder

About CloudiQS

Cloudi

QS is an award-winning AWS Advanced Consulting Partner based in London, specialising in cloud infrastructure, migrations, Dev Ops, and generative AI solutions. We hold multiple AWS Competencies including GenAI, Migration, Microsoft Workloads, and Education, and were recognised as the Fastest Growing AWS Advanced Partner of the Year (UK).

About the role

Cloudi

QS is building an agentic AI capability that sits inside a real product, touches real systems, and has to behave predictably in production. This role is for a strong software engineer who wants to work on AI systems without leaving engineering discipline behind.

You’ll be building and owning Agent Core / Bedrock based agents that can reason over Cloudi

QS data, call internal APIs safely, and produce outputs users can trust — with guardrails, observability, and clear failure modes.

This is not a research role. It’s shipping code.

• Architect Front End / Backend Integration's and deliver the agent runtime on AWS (Bedrock Agent Core, Lambda, Step Functions, CDK)
• Build multi-tenant infrastructure patterns that isolate customer workloads safely
• Own CI/CD, infrastructure-as-code, and automated testing
• Build Agent Core-based agents with tool use, memory, and retrieval (RAG) capabilities
• Implement guardrails: input/output validation, cost controls, permission boundaries, and circuit breakers
• Design observability: structured logging, trace capture, token tracking, and drift detection
• Define and enforce clear failure modes — agents must fail predictably, not silently

Team & Delivery

• Hire and lead a team of 4–6 engineers (backend, platform, and AI engineering)
• Ship iteratively with production milestones — not research sprints
• Work directly with the CEO to translate customer requirements into engineering priorities

Must Have

• 5+ years software engineering experience, at least 2 in a senior or lead role
• Strong Python and/or Type Script in production environments
• Hands-on AWS:
  Lambda, Step Functions, CDK/Cloud Formation, IAM, and familiarity with Bedrock
• Experience building systems that call external APIs with retry logic, rate limiting, and graceful degradation
• Track record of shipping and operating production services — not just prototypes
• Comfortable making architectural decisions with incomplete information
• Experience hiring engineers and setting technical direction for a small team

Strong Preference

• Experience with LLM-based systems: prompt engineering, tool use patterns, RAG pipelines, or agent frameworks
• AWS certifications (Solutions Architect, Developer, or Dev Ops Engineer)
• Background in multi-tenant SaaS or platform engineering
• Observability tooling experience (Cloud Watch, Datadog, Open Telemetry)

What We Don’t Need

• A pure ML researcher — we use foundation models via Bedrock, not custom training
• A manager who doesn’t write code — this is hands-on, especially in Year 1
• Someone who needs a mature platform to be productive — you’ll be building it

• Greenfield build — you’re setting the foundation, not inheriting debt
• Direct impact — your work ships to customers within weeks, not quarters
• AWS Advanced Tier partner with GenAI, Migration, and Microsoft Workloads competencies
• Equity participation in the platform you build
• Real autonomy — small company, big mandate, reporting directly to CEO