AIML Software Engineer

Role: AI/ML Software Engineer

Location: Plano TX
Duration: 6 Months Contract
Employment: W2 (USC/GC Only)
Pay Rate: $65-70/hr w2
Interview: 2 rounds virtual; final round face-to-face

Job Overview

We are looking for a Senior Full Stack & Agentic AI Engineer to design develop and deploy production-grade AI applications and intelligent agent solutions.

The ideal candidate will have strong software engineering and full-stack development experience along with hands-on expertise in Generative AI Agentic AI RAG LLMs and conversational AI.

Candidates with 7 years of software development experience are encouraged to apply provided their background strongly aligns with Full Stack and Agentic AI development.

Key Responsibilities

• Design develop and deploy scalable Full Stack and Agentic AI applications.
  
• Build AI agents multi-agent workflows RAG pipelines and LLM-powered applications.
  
• Develop backend services and APIs using Java and/or Python.
  
• Build modern frontend applications and integrate them with AI/ML services.
  
• Implement RAG solutions using chunking embeddings vector databases and retrieval techniques.
  
• Work with AWS Bedrock and Anthropic Claude models and APIs.
  
• Use AI frameworks such as LangChain LlamaIndex Semantic Kernel or CrewAI.
  
• Develop conversational AI solutions including text chatbots and voice-enabled applications.
  
• Apply prompt engineering techniques including system prompts few-shot prompting tool calling and structured outputs.
  
• Build scalable microservices and event-driven architectures using AWS services.
  
• Implement CI/CD Docker Kubernetes/EKS/ECS and Infrastructure as Code.
  
• Develop and integrate REST and GraphQL APIs.
  
• Implement LLM evaluation observability guardrails content filtering and responsible AI practices.
  
• Troubleshoot optimize and support production AI applications.
  

Required Qualifications

• 7 years of hands-on software development experience.
  
• Strong proficiency in Java and/or Python.
  
• Hands-on production experience with Generative AI LLMs and Agentic AI.
  
• Strong experience with RAG architectures embeddings chunking and vector databases.
  
• Experience with one or more of:
  
• LangChain
  
• LlamaIndex
  
• Semantic Kernel
  
• CrewAI
  
• Hands-on experience with AWS Bedrock and Anthropic Claude.
  
• Strong understanding of prompt engineering and LLM application development.
  
• Experience with REST APIs microservices and event-driven systems.
  
• Experience with AWS services including:
  
• Lambda
  
• Step Functions
  
• API Gateway
  
• S3
  
• DynamoDB
  
• SQS
  
• Experience with Docker Kubernetes/EKS/ECS CI/CD and Infrastructure as Code.
  
• Experience building conversational AI chatbots or voice-enabled AI applications.
  

Preferred Qualifications

• Experience with Pinecone OpenSearch pgvector or FAISS.
  
• Experience with LLM evaluation and observability frameworks.
  
• Experience implementing AI guardrails content filtering and responsible AI practices.
  
• Experience integrating speech-to-text and text-to-speech technologies.
  
• Financial services or banking industry experience.
  
• Experience working in enterprise-scale and highly regulated environments.