AI Engineer

Dallas, TX, US • Posted 19 hours ago • Updated 19 hours ago

Contract W2

Contract Independent

No Travel Required

Able to Sponsor

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Artificial Intelligence
Cloud Computing
Java
LangChain
Microsoft Azure
Python

Summary

oles & Responsibilities

Design, build, and maintain Retrieval‑Augmented Generation (RAG) and Agentic RAG solutions for enterprise use cases.
Develop LLM‑driven applications using frameworks such as LangChain, including agents, tools, and custom chains.
Integrate Azure AI Search, Azure OpenAI, and vector search to enable grounded and scalable AI solutions.
Implement cross‑cloud LLM integrations, leveraging AWS Bedrock alongside Azure AI services.
Integrate external data sources and real‑time web search (e.g., Tavily or equivalent) for grounded responses.
Design and manage data ingestion pipelines for structured and unstructured data.
Develop backend services and microservices using Python (FastAPI/Flask) and Java (Spring Boot).
Build and support internal enterprise applications using ReactJS.
Develop and expose RESTful APIs and integrate AI capabilities into existing platforms.
Deploy, operate, and support applications in cloud and containerized environments (Azure and AWS).
Work with Kubernetes platforms (e.g., EKS) and CI/CD pipelines to support scalable deployments.
Secure, manage, and govern APIs using enterprise API management platforms (e.g., Apigee, Azure API Management, or equivalent).
Collaborate with architecture, security, DevOps, and product teams to deliver reliable, secure, and maintainable solutions.

Required Skills

Experience designing and implementing RAG‑based and agent‑based AI systems.
Strong hands‑on experience with LangChain and LLM integration patterns.
Experience with Azure AI Search and Azure OpenAI / foundation models.
Working experience with AWS Bedrock or similar foundation model platforms.
Strong development skills in Python and Java (Spring Boot microservices).
Experience building REST APIs and backend services.
Frontend experience with ReactJS (enterprise applications).
Experience working with Docker, Kubernetes, and cloud platforms (Azure and AWS).
Experience with API management, security, and versioning using enterprise gateways.
Familiarity with PostgreSQL and modern data persistence solutions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90941033
Position Id: 4439_AP_AIEng
Posted 19 hours ago

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