AI/ML Software Engineer

Job Description

Job Description

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.