AI Engineer

Hi,

Hope you are doing well.

Position: AI Sr Developer @ Houston, TX (4-days Onsite Hybrid)

Rate: $60/Hr on C2C

Job Description:

• Agentic AI Platform Engineering Design and implement enterprise grade Agentic AI development platforms
• Establish secure environments for developing testing and deploying AI agents
• Build reusable frameworks SDKs templates and accelerators for rapid AI solution delivery
• Create agent development standards workflows and governance frameworks
• Enable multiagent human in the loop and autonomous agent architectures GitHub Copilot AI Coding Ecosystem
• Lead organizational adoption of GitHub Copilot Copilot Workspace and coding agents
• Build enterprise guardrails for AI assisted software development
• Develop reusable prompts instructions coding standards and agent workflows
• Integrate Copilot with enterprise repositories CICD pipelines and development workflows
• Enable AI driven SDLC practices including code generation testing documentation and code reviews
• AI Model Foundry Integration Integrate Azure AI Foundry Azure OpenAI Open Source Models and thirdparty LLM providers
• Architect model routing and orchestration strategies across multiple models
• Develop reusable APIs and services for model consumption Implement RAG memory management agent planning and tool execution capabilities
• Optimize model performance quality latency and cost MCP Server Integration Design and implement Model Context Protocol MCP architectures
• Develop and integrate MCP servers exposing enterprise systems and knowledge sources
• Connect AI agents with

o GitHub

o Jira

o ServiceNow

o SharePoint

o Confluence

o Databases

o APIs

o Internal business systems

• Establish secure context sharing mechanisms across agents and enterprise tools Full Stack Development
• Develop AI native web applications and agent management portals
• Build reusable frontend components and developer dashboards Develop backend services for

o Agent orchestration

o Tool execution

o Workflow management

o Knowledge retrieval

o Governance and monitoring Frontend Angular TypeScript Backend NET Nodejs Python REST APIs GraphQL Platform DevOps Automation

• Build AI platform CICD pipelines Automate provisioning of AI development environments
• Implement Infrastructure as Code using o GitHub Actions
• Establish environment management for development test and production
• Create self-service developer onboarding capabilities Security Governance Responsible AI Implement enterprise AI governance controls
• Define model access management and approval workflows Implement guardrails for

o Prompt security

o Data protection

o Compliance

o Responsible AI

• Ensure enterprise alignment with security and architecture standards
• Observability Operations Implement monitoring and telemetry for

o Agent performance

o Tool usage

o Token consumption

o Cost management

o Model quality Establish AIOps capabilities and operational dashboards Support platform reliability and scalability objectives