Associate Go Engineer — AI Voice & Data Insights (Hybrid)

SCG Midlands

Melton

Hybrid

GBP 25,000 - 35,000

Full time

14 days+

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Benefits offered by this job

25 Days Holiday
Birthday Day Off
Buy Holiday Scheme
Cycle to Work Scheme
Winter Flu Jabs
Free On-Site Parking
Learning and development budget with <

Job summary

X-on in Melton, Woodbridge is hiring an Associate Software Engineer to help build the infrastructure powering next-generation call experiences and data insight tools for NHS customers. You will work in a small agile team, building a Go-based Voice Agent and API integrations with AI providers.

You will engage in tool development for LLM interactions, data transcription/analysis pipelines, and prompt engineering to ensure safe, accurate healthcare AI. Hybrid working arrangements offered.

Qualifications

  • Proficiency in a backend language with Go (Golang) emphasis or willingness to cross-train from other languages.
  • Experience consuming RESTful APIs and handling JSON data structures.
  • Practical experience with LLM APIs (OpenAI, Anthropic, etc.) and concepts like RAG, System Prompts, and Temperature.
  • Understanding of asynchronous programming and WebSockets is advantageous.

Responsibilities

  • Build and maintain a Go-based Voice Agent as part of a small agile team.
  • Develop and extend the unified AI API interfacing telephony products with AI providers.
  • Create tools to enable LLMs to interact with real-world data (RAG, API calls).
  • Build data pipelines to transcribe/analyze historical call data for sentiment, summaries, and outcomes.
  • Refine prompts and maintain safe, accurate, empathetic AI in healthcare contexts.
  • Collaborate with stakeholders, participate in architecture/design discussions, and report progress.

Skills

Go (Golang)
RESTful APIs
LLM APIs
RAG
System prompts
Concurrency
WebSockets

Tools

OpenAI

Job description

X-on in Melton, Woodbridge is hiring an Associate Software Engineer to help build the infrastructure powering next-generation call experiences and data insight tools for NHS customers. You will work in a small agile team, building a Go-based Voice Agent and API integrations with AI providers.

You will engage in tool development for LLM interactions, data transcription/analysis pipelines, and prompt engineering to ensure safe, accurate healthcare AI. Hybrid working arrangements offered.

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