F2F Must- Senior AI Software Engineer (Cloud & RAG)-OPT also works

Please submit good communication skills with at least one project experience candidates only.

Skill: Azure AI, LLM, RAG, Python and Java knowledge

Senior AI Software Engineer (Cloud & RAG)

Location: Dallas, TX

Duration: 12 onths+

Roles & Responsibilities

• Design, build, and maintain RetrievalAugmented Generation (RAG) and Agentic RAG solutions for enterprise use cases.
• Develop LLMdriven 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 crosscloud LLM integrations, leveraging AWS Bedrock alongside Azure AI services.
• Integrate external data sources and realtime 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 RAGbased and agentbased AI systems.
• Strong handson 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.