AI/ML 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.

Requirements

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.