JobgetherPosted today
Golang Developer
Golang Developer at Jobgether scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.
AI in this role
Golang developer building scalable backend and data infrastructure to support modern AI Agent systems and high-volume data operations.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Golang Developer based in India.
This role focuses on building scalable backend and data infrastructure that supports modern AI Agent systems and high-volume data operations.
You will design and maintain data pipelines, backend services, monitoring capabilities, and observability tools for production environments.
The position combines Golang development with distributed systems, data platforms, AI/LLM integration, and platform reliability.
You will work closely with AI, product, frontend, DevOps, and QA teams to align infrastructure with evolving platform requirements.
A key part of the role is ensuring data quality, pipeline stability, and the health and observability of AI-powered systems.
You will also help maintain existing services and contribute to long-term platform stability in a fast-paced, product-driven environment.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How have you integrated a large language model into a production application?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Llm Integration, AI Agents, Backend, Distributed Systems, and Data Pipelines. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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