AI/ML Software Engineer

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 Stackand Agentic AI applications.
• Build AI agents, multi-agent workflows, RAGpipelines, and LLM-powered applications.
• Develop backend services and APIs using Javaand/or Python .
• Build modern frontend applications and integratethem 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, includingtext chatbots and voice-enabled applications.
• Apply prompt engineering techniques includingsystem prompts, few-shot prompting, tool calling, and structured outputs.
• Build scalable microservices and event-drivenarchitectures using AWS services.
• Implement CI/CD, Docker, Kubernetes/EKS/ECS, andInfrastructure 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 AIapplications.

Required Qualifications

• 7+ years of hands-on software developmentexperience.
• Strong proficiency in Java and/or Python .
• Hands-on production experience with GenerativeAI, 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 andAnthropic Claude .
• Strong understanding of prompt engineering andLLM application development.
• Experience with REST APIs, microservices, andevent-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 observabilityframeworks.
• Experience implementing AI guardrails, contentfiltering, and responsible AI practices.
• Experience integrating speech-to-text andtext-to-speech technologies.
• Financial services or banking industryexperience.
• Experience working in enterprise-scale and highlyregulated environments.