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
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.