Software Engineer - Advanced

Location: Plano, TX Salary: $90.00 USD Hourly - $95.00 USD Hourly Description:
Senior AI/ML Full Stack Engineer

Location: Plano, TX (onsite)

Duration: Contract To Perm



Experience: 10+ Years

This role is ideal for engineers with strong software engineering fundamentals and hands-on experience deploying AI/ML solutions into real-world production environments.

About the Role

We are seeking a Senior AI/ML Full Stack Engineer to design and deliver production-grade intelligent applications powered by modern AI/ML and large language model (LLM) technologies. You will play a key role in building scalable systems that leverage retrieval-augmented generation (RAG), conversational AI, and cloud-native architectures.


Minimum Qualifications

• 10+ years of experience in software development (Java or Python)
• 2+ years of hands-on experience building AI/ML applications in production environments
• Strong experience building and consuming APIs (REST or GraphQL)
• Experience with CI/CD pipelines and modern development workflows
• Experience working with microservices and event-driven architectures

Preferred Qualifications

• Deep expertise in RAG (Retrieval-Augmented Generation) architectures, including:
  
  • Chunking strategies
  • Embedding models
  • Vector databases (Pinecone, OpenSearch, pgvector, FAISS)
• Experience with AI orchestration frameworks such as:
  
  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • CrewAI
• Hands-on experience with:
  
  • AWS Bedrock and foundation models (e.g., Anthropic Claude)
  • Model invocation APIs
• Strong proficiency in prompt engineering, including:
  
  • System prompts, few-shot learning
  • Chain-of-thought reasoning
  • Tool usage and structured outputs
• Experience building conversational AI systems:
  
  • Chatbots (text-based)
  • Voicebots (speech-to-text, text-to-speech integration)
• Expertise with AWS cloud services:
  
  • Lambda, Step Functions, API Gateway
  • S3, DynamoDB, SQS
• Experience with:
  
  • Containerization and orchestration (Docker, ECS, EKS)
  • Infrastructure-as-code (Terraform, CloudFormation, etc.)
• Familiarity with:
  
  • LLM evaluation frameworks and performance monitoring
  • Guardrails, safety systems, and responsible AI practices

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Contact:
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