Senior Developer - AI Enablement

Henderson Scott; City Of London; Remoto; GBP 83.000 - 165.000; Tempo integral

Resumo da vaga

Henderson Scott is seeking a Senior Developer (AI Enablement) to build and operate backend services powering a central Enterprise AI Gateway. The role blends cloud engineering with practical AI integration, including LLM APIs, agent tooling, and enterprise security controls.

You will design, implement, and maintain production-grade microservices on AWS, integrating Bedrock and AI gateways, while ensuring observability and secure, auditable operations across teams.

Qualificações

• Hands-on production API/backend services.
• Experience integrating LLM APIs into applications/workflows.
• Knowledge of prompt management and tool calling.
• Cloud-native AWS deployments with CI/CD and IaC.

Responsabilidades

• Design, build, test, and maintain backend microservices and APIs powering the Enterprise AI Gateway.
• Integrate AWS Bedrock, AI Gateways, and approved foundation-model services into enterprise workflows.
• Build reusable APIs, libraries, and configuration patterns for consuming teams.
• Implement authentication, authorization (OIDC/OAuth2), rate limiting, usage attribution, and audit logging.
• Enable safe AI agent integrations with tool calling and MCP services.

Conhecimentos

Backend API development

Python

TypeScript/Node.js

LLM integration

AWS cloud

CI/CD

Terraform

Docker

Observability

Security controls

Ferramentas

Terraform

Docker

OpenTelemetry

Splunk

CloudWatch

Descrição da vaga

Job Title: Senior Developer - AI Enablement (AWS Bedrock, Python/TypeScript, AI Gateway)

Location: Remote (UK-based)

Rate: Negotiable / Competitive (Inside IR35)

Duration: 6 Months Initial

Clearance: SC Clearance Required - active clearance used on a government project within the last 12 months.

Overview:

Contract opportunity for a Senior Developer (AI Enablement) to join a team building a central Enterprise AI Gateway. This hands‑on role blends strong production backend and cloud engineering with practical generative AI integration, including LLM APIs, agentic tooling, and enterprise security controls.

Key Responsibilities:

• Design, build, test, and maintain backend microservices and APIs powering the Enterprise AI Gateway.
• Integrate AWS Bedrock, AI Gateways, and approved foundation-model services into enterprise workflows.
• Build reusable APIs, libraries, and configuration patterns for consuming teams.
• Build authentication, authorisation (OIDC/OAuth2), rate limiting, usage attribution, and audit logging controls.
• Implement safe integrations with AI agents, tool calling, and Model Context Protocol (MCP) services.

Key Skills & Experience Required:

• Strong hands‑on experience building production APIs/backend services in Python or TypeScript / Node.js.
• Practical experience integrating LLM APIs (e.g., Anthropic Claude, OpenAI, Mistral) into applications or workflows.
• Solid understanding of prompt management, structured outputs, tool calling, context handling, and agentic patterns.
• Experience deploying cloud-native applications on AWS using automated CI/CD and Terraform/Docker.
• Experience with secrets management, IAM, automated testing, and building observable live services (OpenTelemetry, Splunk, CloudWatch).
• Active SC Clearance

Desirable Skills:

• Experience with Cloudflare AI Gateway or custom AI proxy configurations.
• Hands‑on experience with Model Context Protocol (MCP) or agentic frameworks.
• Knowledge of RAG, vector databases, embeddings, or LLM evaluation frameworks.
• Awareness of AI security threats (prompt injection, data leakage, unsafe tool execution).