Job Description
Job Title: AI Engineer Developer
Location: Houston, TX or US Remote
Duration: 6–12 months
Experience Required: 6–8 years
Key Skills: AI and Automation, AI Agents
Role Description
- Strong backend development experience in Python, TypeScript, Node.js, Java, Go, or similar.
- Experience building APIs, workflow services, integrations, automation scripts, and event-driven applications.
- Strong API integration skills: REST, GraphQL, webhooks, authentication, authorization, and scheduled automation jobs.
- Hands-on experience with Slack apps, bots, APIs, or enterprise collaboration platform integrations.
- Experience integrating with ticketing/workflow tools: Jira, Zendesk, ServiceNow, Confluence, or similar.
- 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: OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar.
- 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 IAM concepts: 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