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Associate Software Developer - AI

Intermedia Intelligent Communications
Remote, GBR
Full-time
Entry
Remote
Discovered 2 days ago
REST APIsMicrosoft SQL ServerSQLGitJavaScriptTypeScript
Free

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REST APIsMicrosoft SQL ServerSQL
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What You Will Be Doing

Develop, test and maintain backend services that support AI assistants.

Help integrate large language models, enterprise data, APIs and workflow automation into customer-facing products.

Contribute to features such as conversation summaries, knowledge assistance, suggested responses, search, task automation and agent guidance.

Build and maintain REST APIs and integrations with internal and external systems.

Support the implementation of appropriate validation, monitoring, fallback and human-review mechanisms for AI-powered features.

Write readable, maintainable and testable code that follows established engineering standards.

Participate in code reviews, testing, troubleshooting and technical discussions with support from experienced engineers.

Collaborate with product, UX, data, security, QA and platform teams to develop and release new features.

Investigate and resolve issues across backend services, APIs, databases and integrations.

Continue developing your knowledge of backend engineering, cloud technology and applied AI.

What You Will Bring to the Role

A bachelor’s degree in Computer Science, Information Technology or a related field, or equivalent practical experience.

Good knowledge of one or more backend programming languages and associated frameworks.

A foundational understanding of object-oriented programming, data structures and software design principles.

Some experience developing or consuming REST APIs.

Knowledge of relational databases and SQL; experience with Microsoft SQL Server would be beneficial.

Familiarity with testing, source control tools such as Git and collaborative software development practices.

Good analytical and problem-solving skills, with a willingness to ask questions and learn from feedback.

Strong communication and collaboration skills.

An interest in AI assistants, large language models, conversational AI or workflow automation.

Some exposure to LLM APIs, prompt design, retrieval-augmented generation, embeddings or vector search through professional, academic or personal projects would be beneficial.

Familiarity with JavaScript, TypeScript and a framework such as React or Angular would be an advantage.

Familiarity with Agile development, CI/CD, cloud platforms or DevOps practices would also be beneficial.

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