Senior Software Engineer (Generative AI/AWS)

Searchability; United States; Remote; USD 113,000 - 148,000; Full time

Job summary

Searchability is seeking a Senior Software Developer to design, build and operate enterprise AI enablement platform services with a focus on the Enterprise AI Gateway and LLM integrations. You will work across backend, cloud and AI engineering to create secure, scalable patterns used by teams across the organisation.

The role emphasizes building production services, APIs and tooling, with emphasis on prompt management, tool calling and agentic workflows, plus authentication and observability

Qualifications

• Strong backend experience with Python, TypeScript/Node.js, Java or Go.
• Experience using generative AI or LLM APIs.
• Understanding of prompt/context management and structured outputs.
• Experience building REST APIs and distributed services.
• Cloud engineering with AWS or comparable platform.
• CI/CD pipelines and infrastructure automation.
• Authentication, authorisation and secrets management.

Responsibilities

• Developing production-quality backend services and APIs using Python, TypeScript/Node.js, Java or Go.
• Integrating AI models and LLM APIs into applications and engineering workflows, including AWS Bedrock.
• Building AI application capabilities including prompt management and agentic workflows.
• Developing REST APIs, gateways and distributed services.
• Building and deploying cloud-based software with CI/CD and infra automation.
• Implementing secure authentication, authorisation and secrets management.
• Developing automated tests and maintaining observable live services with logs, metrics and traces.

Skills

Python

TypeScript/Node.js

Java

Go

Gen AI APIs

LLM patterns

REST APIs

API gateways

AWS

CI/CD

Auth/Secrets

Observability

Tools

AWS Bedrock

Job description

SENIOR SOFTWARE DEVELOPER – GENERATIVE AI / AWS

• £525 per day via Umbrella – initial contract until 31st March 2027.
• Fully remote contract opportunity.
• Active SC clearance required.
• Build production-grade AI platform services, integrating LLMs, AWS Bedrock, enterprise APIs and secure developer tooling.

ABOUT THE CLIENT

Our client is investing in its AI capabilities, developing an enterprise platform to support the safe and scalable adoption of generative AI across its technology estate. They are looking for an experienced Senior Developer to help build the underlying services, integrations and engineering patterns that will enable teams to use AI securely and effectively.

THE SENIOR SOFTWARE DEVELOPER ROLE:

You will design, build, test and operate software forming part of an enterprise AI enablement platform, with an initial focus on the Enterprise AI Gateway and integrations between AI models, developer tooling and enterprise controls. Combining backend, cloud and practical generative AI engineering, you will develop secure integrations and reusable patterns to support the adoption of LLM and agentic capabilities across the organisation.

Key responsibilities will include:

• Developing production-quality backend services and APIs using Python, TypeScript/Node.js, Java or Go.
• Integrating AI models and LLM APIs into applications and engineering workflows, including AWS Bedrock.
• Building AI application capabilities covering prompt and context management, structured outputs, tool calling and agentic workflows.
• Developing REST APIs, gateways and distributed services.
• Building and deploying cloud-based software, supported by automated CI/CD and infrastructure automation.
• Implementing authentication, authorisation, secrets management and secure API integrations.
• Developing automated tests and maintaining reliable, observable live services using logs, metrics and traces.

SENIOR SOFTWARE DEVELOPER ESSENTIAL SKILLS

• Strong backend software development experience using Python, TypeScript/Node.js, Java or Go.
• Practical experience building applications or engineering workflows using generative AI or LLM APIs.
• Understanding of LLM application patterns, including prompt and context management, structured outputs, tool calling and agentic workflows.
• Experience developing REST APIs, API gateways and distributed services.
• Cloud engineering experience across AWS or a comparable public-cloud platform.
• Experience with CI/CD pipelines and infrastructure automation.
• Knowledge of authentication, authorisation, secrets management and secure API integrations.
• Experience building, testing and operating maintainable production services.
• Understanding of observability, including logs, metrics and distributed traces.