AI Engineer Developer

NATIONMIND LLC; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

NationMind LLC is hiring an AI Engineer Developer to work on backend development, API integrations, and GenAI-powered tooling. You will build AI agents, orchestrate workflows, and integrate with Jira, Zendesk, ServiceNow, and Confluence.

The role supports US remote work and is a 6–12 month contract with focus on secure, scalable AI solutions and enterprise-grade automation.

Qualifications

• Hands-on backend development with Python, TypeScript, Node.js, Java, Go or similar.
• Experience building APIs, workflow services, integrations, automation scripts, and event-driven apps.
• Hands-on experience with Slack apps/bots and enterprise collaboration integrations.

Responsibilities

• Develop GenAI applications and AI agents including RAG workflows.
• Implement integrations and automation for enterprise tools.
• Build secure, auditable tooling for operational use.

Skills

Backend dev

API integration

GenAI apps

LLM APIs

Prompt engineering

IAM concepts

CI/CD

Observability

Slack integration

Tools

Jira

Zendesk

ServiceNow

Confluence

Job description

About NationMind LLC:

NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Engineer Developer to join our growing team.

Role: AI Engineer Developer

Location: Houston TX or US Remote

Duration: 6-12 months

Skills: AI and Automation~AI Agents

Role Descriptions:

• Strong backend development experience in Python, TypeScript, Node.js, Java, Go, or similar backend technologies.
• Experience building APIs, workflow services, integrations, automation scripts, and event-driven applications.
• Strong API integration skills including REST, GraphQL, webhooks, authentication, authorization, and scheduled automation jobs.
• Hands-on experience with Slack apps, Slack bots, Slack APIs, or enterprise collaboration platform integrations.
• Experience integrating with ticketing and workflow tools such as Jira, Zendesk, ServiceNow, Confluence, or similar systems.
• Experience with orchestration frameworks, workflow engines, agent runtimes, or stateful task execution.
• Hands-on experience building GenAI applications, AI agents, RAG workflows, tool-calling systems, or chatbot platforms.
• Experience with LLM APIs and GenAI platforms such as OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar technologies.
• Understanding of MCP concepts, tool registries, connector libraries, skill version management, and secure tool invocation.
• Experience with prompt engineering, prompt versioning, structured outputs, function calling, JSON schemas, and agent guardrails.
• Understanding of identity and access management concepts such as Okta, SCIM, SSO, RBAC, ABAC, service accounts, secrets management, and enterprise governance requirements.
• Ability to build secure, auditable, and reliable operational tooling for enterprise users.
• Familiarity with logging, monitoring, tracing, metrics, dashboards, retries, error handling, operational observability, and incident troubleshooting.
• Good knowledge of automated testing, CI/CD pipelines, deployment practices, release management, rollback strategies, and operational support processes.
• Strong understanding of secure coding practices, data privacy, access controls, and enterprise governance standards.

Key Technical Skills:

• Python, TypeScript, Node.js, Java, Go
• AI Agents & GenAI Applications
• RAG (Retrieval-Augmented Generation)
• LLM APIs (OpenAI, Claude, Azure OpenAI, Bedrock, Vertex AI)
• REST, GraphQL, Webhooks
• Workflow Orchestration & Agent Runtimes
• MCP (Model Context Protocol)
• Function Calling & Structured Outputs
• Prompt Engineering
• Slack Apps/Bots Integration
• Jira, Zendesk, ServiceNow, Confluence
• IAM (Okta, SSO, RBAC, ABAC)
• CI/CD, DevOps, Observability

Difference from the AI Architect Lead Role

• AI Architect Lead (10+ years): Architecture, governance, platform strategy, leadership, enterprise AI solution design.
• AI Engineer Developer (6-8 years): Hands-on development, integrations, AI agent implementation, workflow automation, and GenAI application development.

This is a remote position.