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GenAI Engineer – Cursor AI Developer JD

Rigel Global Solutions Inc

Atlanta, Georgia • 21d ago

Easy Apply

Full-time

90,000 - 100,000

HL7/FHIR Integration Engineer

Rigel Global Solutions Inc

Atlanta, Georgia • 25d ago

Easy Apply

Full-time

90 - 95

Java Full Stack Developer with Angular (Only H1B Transfer Accept)

Rigel Global Solutions Inc

Atlanta, Georgia • 12d ago

Easy Apply

Full-time

90,000 - 115,000

Java Full Stack Developer with Angular(Full Time or W2)

Rigel Global Solutions Inc

Atlanta, Georgia • 24d ago

Easy Apply

Full-time

80,000 - 90,000

Job Details

Skills

Cursor
Gen AI

Summary

GenAI Engineer – Cursor AI Developer JD

Job Title: Senior Generative AI Engineer – Cursor / AI-Assisted Development
Experience: 6–10+ years overall, with 3+ years in GenAI/LLM engineering
Location: Atlanta GA or Richmond VA
Employment Type: Full-Time

Job Summary

We are looking for a Senior Generative AI Engineer with hands-on experience using Cursor AI to accelerate software development, build enterprise GenAI applications, and integrate LLM-powered capabilities into modern engineering workflows. The ideal candidate will have strong software engineering fundamentals along with experience in LLMs, RAG, Agentic AI, prompt engineering, AI coding assistants, and cloud-native application development.

Key Responsibilities

Design, develop, and deploy Generative AI and LLM-powered applications for enterprise use cases.
Use Cursor AI extensively for AI-assisted software development, code generation, refactoring, debugging, documentation, test generation, and codebase understanding.
Establish effective Cursor workflows and development standards for enterprise engineering teams.
Develop AI applications using OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or open-source LLMs.
Build RAG solutions using vector databases, embeddings, semantic search, hybrid search, metadata filtering, and enterprise knowledge sources.
Design and implement AI agents and agentic workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent technologies.
Develop REST APIs and AI services using Python, FastAPI, Flask, or similar frameworks.
Integrate LLM applications with enterprise APIs, databases, SaaS platforms, repositories, and internal systems.
Implement prompt engineering, context engineering, structured outputs, function/tool calling, and model evaluation.
Develop automated test cases and documentation using AI-assisted development practices.
Use Cursor to analyze large codebases, identify dependencies, modernize legacy code, and accelerate application migration/refactoring.
Implement AI guardrails, security controls, access management, PII protection, and responsible AI practices.
Build evaluation frameworks to measure accuracy, relevance, hallucination, latency, cost, and response quality.
Containerize and deploy GenAI applications using Docker and Kubernetes.
Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Implement CI/CD pipelines and automated quality checks for AI-enabled applications.
Collaborate with architects, developers, DevOps, data engineers, security teams, and business stakeholders.

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: 91176060
Position Id: 9097574
Posted 21 days ago

Fitment

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Vinay Reddy

Recruiter @ Rigel Global Solutions Inc

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Job Details

Skills

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Summary

GenAI Engineer – Cursor AI Developer JD

Job Summary

Key Responsibilities

Design, develop, and deploy Generative AI and LLM-powered applications for enterprise use cases.
Use Cursor AI extensively for AI-assisted software development, code generation, refactoring, debugging, documentation, test generation, and codebase understanding.
Establish effective Cursor workflows and development standards for enterprise engineering teams.
Develop AI applications using OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or open-source LLMs.
Build RAG solutions using vector databases, embeddings, semantic search, hybrid search, metadata filtering, and enterprise knowledge sources.
Design and implement AI agents and agentic workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent technologies.
Develop REST APIs and AI services using Python, FastAPI, Flask, or similar frameworks.
Integrate LLM applications with enterprise APIs, databases, SaaS platforms, repositories, and internal systems.
Implement prompt engineering, context engineering, structured outputs, function/tool calling, and model evaluation.
Develop automated test cases and documentation using AI-assisted development practices.
Use Cursor to analyze large codebases, identify dependencies, modernize legacy code, and accelerate application migration/refactoring.
Implement AI guardrails, security controls, access management, PII protection, and responsible AI practices.
Build evaluation frameworks to measure accuracy, relevance, hallucination, latency, cost, and response quality.
Containerize and deploy GenAI applications using Docker and Kubernetes.
Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Implement CI/CD pipelines and automated quality checks for AI-enabled applications.
Collaborate with architects, developers, DevOps, data engineers, security teams, and business stakeholders.

Dice Id: 91176060
Position Id: 9097574
Posted 21 days ago

Fitment