GoLang AI Developer

Job role: GoLang AI Developer

Duration: 2 months

Location: Remote

Type: 20-40 hours/week

Summary:

Client initiative that has shifted from Agentforce to a primarily Golang-based AI agent implementation. The developer will work directly with Salesforce engineering under client guidance to build an AI-powered solution supporting quarterly access reviews, evidence validation, and Slack-based workflow communications.

This is a hands-on Senior Golang Developer role, with the most important differentiator being real production experience building AI agents or LLM-powered applications. The candidate must be able to clearly explain an agent they personally built, including the architecture, orchestration, tools/function calling, data/context flow, integrations, and their specific contributions.

Responsibilities:

• Write production-quality Golang code for backend services and APIs.
• Build and integrate AI agent capabilities supporting the quarterly access-review workflow.
• Design agent workflows involving LLMs, tools, services, APIs, context, orchestration, and structured outputs.
• Integrate the AI agent with existing enterprise services and data sources.
• Work with the Claude Gateway for enterprise LLM access.
• Build backend/agent capabilities behind an existing evidence-review user interface.
• Develop integrations with Slack and Slack APIs for reminders, notifications, communications, and potentially agent interactions.
• Support workflows that evaluate access information and submitted evidence during quarterly reviews.
• Build scalable services and integrations within a cloud-native environment.
• Participate in development, testing, technical discussions, troubleshooting, and delivery.
• Collaborate closely with Salesforce engineering and client project/technical team.
• Work independently and communicate technical decisions clearly throughout the development process.

Qualifications:

• Strong hands-on professional Golang/Go development experience.
• Strong backend engineering experience building APIs and/or distributed systems.
• Proven hands-on experience building AI agents or agentic applications.
• Production experience integrating LLMs into real applications.
• Understanding of agent architecture, including:
  • Inputs and outputs
  • Agent orchestration
  • Tool/function calling
  • Service/API integrations
  • Context and data management
  • LLM-driven workflows
• Experience working in cloud-native environments.
• Strong software engineering fundamentals.
• Ability to work directly with engineering teams and independently manage development responsibilities.
• Strong communication skills and ability to explain technical work clearly.
• Ability to provide concrete examples of personally built AI/agent solutions and explain the architecture and implementation decisions.

Strong Plus:

• Claude / Anthropic experience.
• Claude Gateway or similar enterprise LLM gateway experience.
• Agentic frameworks.
• Slack or Slack API integrations.
• Enterprise workflow automation.
• Security, IAM, access management, or identity systems.
• Kubernetes, Docker, or containerized environments.
• Distributed systems.
• Integrating multiple enterprise services and APIs.