Lead Full - Stack AI Engineer (Backend Heavy)

As a Software Engineer on the Agentic Platform team, you will contribute to design, delivery, technical strategy, and execution for critically important agent platform systems. Depending on level, you will implement well-scoped features, own end-to-end delivery, lead epics and mentor engineers, or define platform-wide architecture and engineering standards. You will help ensure the agentic platform scales securely and reliably to support sustained business growth across various product lines, including loyalty, customer data, messaging, digital media, and enterprise AI capabilities.

Responsibilities:

• Build and deliver large-scale cloud-native agent platform capabilities primarily on AWS, leveraging REST APIs, WebSockets, Server-Sent Events (SSE), microservices, and event-driven architectures to create highly scalable and resilient systems.
• Work hands-on across the technology stack, including Python, Django, TypeScript, React, FastAPI, Celery, PostgreSQL, Redis, OpenSearch, AWS Bedrock, Strands Agent SDK, MCP, Terraform, and Docker, to solve complex engineering challenges and maintain platform excellence.
• Design, develop, and operate agent runtime services, including spec compilation, pre-flight authorisation, skills seeding, MCP tool orchestration, streaming responses, and run package recording.
• Build and enhance agent builder and product UIs (Agent Cloud, Core Agent, and responsive web) and shared frontend libraries using React 19 shadcn/ui, TanStack Query, and type-safe OpenAPI client generation.
• Implement MCP catalogue, gateway, and federation capabilities; integrate domain MCP servers for loyalty, customer CDP, messaging, digital media, and related enterprise systems.
• Drive performance optimisation, scalability, reliability, security, tenant isolation, governance, and cost efficiency across agent execution and platform services.
• Collaborate closely with global engineering, product management, architecture, AI/ML, and business stakeholders to align technical solutions with strategic business objectives.
• Own the end-to-end software development lifecycle, including requirements gathering, solution design, development, deployment, observability, and documentation.
• Contribute to observability and quality through OpenTelemetry instrumentation, Grafana/Phoenix tracing, pytest/Vitest/Playwright testing, and CI/CD pipelines.
• At Lead and Staff levels: mentor engineers, lead technical design reviews, set engineering standards, and drive cross-team initiatives for runtime performance, MCP federation, orchestration, and multi-tenant scale.

Requirements:

• Bachelor's or master's degree in computer science, IT, or a related field.
• 8-11 years of experience in software engineering, including 8-10 years in technical ownership and delivery leadership roles.
• Proven ability to design and deliver scalable, distributed systems across backend, frontend, and runtime layers.
• Strong leadership skills with experience mentoring engineers, leading epics, and driving cross-service execution.
• Hands-on expertise in Python and Django (DRF/Ninja) for building production-grade APIs, data models, and async workloads (Celery).
• Strong experience with TypeScript and React ecosystems (React 19 Vite, and monorepos) for modern web application development.
• Solid experience in REST APIs, microservices, containerisation (Docker/ECS Fargate), and cloud-native architectures.
• Proficiency in PostgreSQL, Redis, and search/indexing systems (OpenSearch); exposure to document/graph databases is a plus.
• Deep experience with AWS services such as ECS Fargate, RDS, S3 SQS, ALB, IAM, CloudFront, and Bedrock.
• Strong understanding of asynchronous systems, messaging, and real-time communication (SSE/WebSockets).
• Experience with authentication and authorisation (Okta/OIDC, JWT) in multi-tenant SaaS environments.
• Working knowledge of DevOps and IaC practices (Terraform/AWS CDK), CI/CD pipelines, and testing frameworks.
• Exposure to generative AI technologies (LLMs, RAG, and agent-based systems) with hands-on experience being preferred.

Nice to have:

• Experience with Strands Agent SDK, AWS Bedrock AgentCore, LiteLLM, or comparable agent runtime frameworks.
• Experience building MCP servers or tool-calling integrations using FastMCP or similar frameworks.
• Experience with agent evaluation (DeepEval, Guardrails AI), LLM observability (Arize Phoenix, Langfuse, OpenTelemetry), and token metering.
• Experience with React Flow (xyflow) for workflow visualisation, CodeMirror for in-browser editors, and declarative UI / SSE event streaming.
• Experience with Expo / React Native for mobile applications.
• Experience with A2A (Agent-to-Agent) protocol, cross-account AWS agent execution, and Step Functions / EventBridge orchestration.
• Working knowledge of Neo4j, Trino, Databricks, or Vertex AI RAG integrations.
• Experience building platforms in privacy-safe, customer data platform (CDP), or marketing technology environments.
• Experience with GoCD, Husky pre-commit hooks, Orval OpenAPI code generation, and monorepo development workflows.

Specialisation Tracks:

• Platform backend Django apps, APIs, Celery, PostgreSQL, tenant isolation, and publishing workflows.
• Agent Runtime / AI Strands SDK, Bedrock, MCP, RAG, evaluation, streaming, and performance optimisation.
• Frontend / UX React apps, shadcn/ui, workflow editors, SSE streaming, type-safe API clients.
• Mobile Expo / React Native companion application.
• Platform / Infra: Terraform, ECS, observability, CI/CD, cross-account AWS.