Lead AI Platform Engineer.

Job ID: 97579-1
Job Title: Lead AI Platform Engineer.
Location: Plano, TX
Duration: 6 months + possible extension
Rate Range: $45 - $50/hour on W2/ C2C (All inclusive)

We are seeking a highly skilled Lead AI Platform Engineer with 6 8 years of software engineering experience and hands-on expertise in Generative AI, AWS Bedrock, AI agents, cloud infrastructure, and backend development. The ideal candidate will lead the design, development, deployment, and optimization of AI-powered applications and autonomous agent solutions using AWS Bedrock, modern LLMs, and cloud-native technologies.

Key Responsibilities

• Design and develop scalable AI-powered applications using AWS Bedrock and foundation models.
• Build intelligent AI agents using frameworks such as LangChain, AutoGen, CrewAI, MCP, or similar.
• Develop backend services using Go, Python, or Java.
• Design and optimize Retrieval-Augmented Generation (RAG) pipelines and long-term memory systems.
• Integrate LLMs with APIs, databases, and enterprise applications.
• Create effective prompts using prompt engineering techniques including zero-shot and few-shot learning.
• Deploy and manage cloud infrastructure using Terraform or CloudFormation.
• Build serverless applications using AWS Lambda and DynamoDB.
• Configure AWS IAM, KMS, Secrets Manager, S3, and other cloud security services.
• Troubleshoot production issues through systematic debugging, log analysis, performance profiling, and incident response.
• Implement AI security best practices including prompt injection protection, input validation, rate limiting, and secure data handling.
• Collaborate with cross-functional teams and provide technical leadership throughout the software development lifecycle.

Required Skills

Programming

• Go
• Python
• Java

AWS Services

• AWS Bedrock
• Bedrock Agents
• AWS Lambda
• Amazon S3
• Amazon DynamoDB
• IAM Policies & Roles
• AWS KMS
• AWS Secrets Manager
• EC2

Infrastructure as Code

• Terraform
• AWS CloudFormation

AI & Generative AI

• Prompt Engineering
• Few-shot & Zero-shot Prompting
• AI Agent Development
• LangChain
• CrewAI
• AutoGen
• MCP Framework
• Retrieval-Augmented Generation (RAG)
• Memory & Context Management
• LLM Integration (OpenAI, Anthropic Claude, Gemini, Llama)

AI Security

• Prompt Injection Protection
• Input Sanitization
• Sensitive Data Handling
• Scoped Permissions
• Logging & Monitoring
• Rate Limiting

Troubleshooting

• Systematic Debugging
• Log Analysis
• Performance Profiling
• Incident Response

Preferred Qualifications

• Experience deploying enterprise GenAI solutions on AWS.
• Knowledge of AI evaluation frameworks and responsible AI practices.
• Experience with CI/CD pipelines and DevOps.
• Strong understanding of cloud-native architectures and distributed systems.
• Excellent communication, leadership, and mentoring skills.

Company Benefits & Culture

• Flexible remote working environment.
• Opportunities for professional development and growth.
• Collaborative and supportive team culture.

For immediate consideration please click APPLY to begin the screening process with Alex.