Head of AWS Software Engineer (Full Stack) - Agentic AI

CloudiQS 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 AgentCore / Bedrock based agents that can reason over CloudiQS 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.

What You'll Own

Platform Engineering

• Architect Front End / Backend Integration's and deliver the agent runtime on AWS (Bedrock AgentCore, Lambda, Step Functions, CDK)

• Design the deployment pipeline: clic deploy, sdk, config * provision * deploy * monitor, targeting rapid delivery

• Build multi-tenant infrastructure patterns that isolate customer workloads safely

• Own CI/CD, infrastructure-as-code, and automated testing

Agent Engineering

• Build AgentCore-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)

• Set engineering standards: code review, testing strategy, incident response, documentation

• Ship iteratively with production milestones - not research sprints

• Work directly with the CEO to translate customer requirements into engineering priorities

Do you have experience in Software development?, Do you have a Master's degree?, Must Have

• 5+ years software engineering experience, at least 2 in a senior or lead role

• Strong Python and/or TypeScript in production environments

• Hands-on AWS: Lambda, Step Functions, CDK/CloudFormation, 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 DevOps Engineer)

• Background in multi-tenant SaaS or platform engineering

• Observability tooling experience (CloudWatch, Datadog, OpenTelemetry)