AI Deployment Engineer

Location: Bristol/London - Hybrid, 3 days in the office

The deep technical engine behind our internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath - data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale.

You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on.

Job Responsibilities

Own the data infrastructure underpinning AI deployments - pipelines, storage, and data serving

Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems

Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems

Take Strategist-built prototypes to production-grade - hardening, scaling, and ensuring reliability

Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure

Manage data models, schemas, and storage supporting current and future AI deployments

Troubleshoot integration failures, data inconsistencies, and production issues

Requirements

Python & SQL (production-grade pipeline development)

REST APIs, webhooks, OAuth, event-driven architecture

Orchestration tools: Airflow, Prefect, or Dagster

Cloud platforms: AWS, GCP, or Azure

Docker & Kubernetes Microsoft 365 & Microsoft Copilot

Desirable Skills

Vector databases and embedding pipelines

Real-time streaming (Kafka, Flink)

RPA tooling (UiPath, Power Automate) dbt for data transformation

Claude Code, Claude Cowork, or Claude Skills

Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate).

Qualifications

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Experience

3–5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure.

Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch.

Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures.

Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar).

Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes).

Experience connecting disparate business systems - SaaS platforms, internal databases, and third-party APIs - and making them work reliably.

Strong debugging instincts and a high bar for reliability and data integrity.

Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus.

Equality Statement

Smartstream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.