Gen AI

Robotics Technologies LLC; Atlanta (GA); On-site; USD 150,000 - 230,000; Full time

Job summary

Robotics Technologies LLC is seeking a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions with a focus on AWS cloud enablement. The role requires hands-on experience with LLM-based apps, GenAI architectures, and modern cloud-native engineering practices to deliver production-ready AI systems that meet enterprise standards for reliability and security.

The ideal candidate has 5+ years building GenAI pipelines, evaluating performance, and contributing to

Qualifications

• Minimum 5+ years of experience developing and implementing GenAI applications leveraging: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, Prompt engineering techniques, and Agentic AI concepts and workflows
• Minimum 5+ years of experience building intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
• Minimum 5+ years of experience evaluating solution performance, accuracy, and scalability of GenAI implementation
• Minimum 5+ years of experience contributing to the end-to-end GenAI lifecycle, including: Solution design and development, Integration and deployment, and Performance tuning and optimization
• Minimum 5+ years of experience supporting secure deployment, horizontal scaling, and operational stability of GenAI workloads
• Minimum 5+ years of experience assisting in implementing monitoring, logging, and observability practices for production environment
• Minimum 5+ years of experience developing and deploying GenAI systems across cloud platforms (Azure and AWS)
• Minimum 5+ years of experience contributing to distributed system design for scalable AI workloads
• Minimum 5+ years of experience utilizing modern infrastructure practices: Containerization (Docker), Orchestration (Kubernetes), and Infrastructure as Code (Terraform, ARM/Bicep)
• Minimum 5+ years of experience ensuring solutions meet enterprise expectations for availability, performance, and securit
• Minimum 5+ years of experience developing scalable applications using Python and microservices-based architecture
• Minimum 5+ years of experience applying secure coding standards and proper data handling practices for enterprise, regulated environments
• Minimum 5+ years of experience contributing to CI/CD pipelines, automated testing, and deployment workflows
• Minimum 5+ years of experience participating in code reviews and adhere to engineering best practices

Job description

Job Description

The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment, with a focus area for AWS cloud enablement. This role requires strong hands-on expertise in LLM-based applications, GenAI architectures, and modern cloud-native engineering practices. The position partners closely with cross-functional teams to build production-ready AI systems that meet enterprise standards for scalability, security, and reliability.

Basic Qualifications

• Minimum 5+ years of experience developing and implementing GenAI applications leveraging: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, Prompt engineering techniques, and Agentic AI concepts and workflows
• Minimum 5+ years of experience building intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
• Minimum 5+ years of experience evaluating solution performance, accuracy, and scalability of GenAI implementation
• Minimum 5+ years of experience contributing to the end-to-end GenAI lifecycle, including: Solution design and development, Integration and deployment, and Performance tuning and optimization
• Minimum 5+ years of experience supporting secure deployment, horizontal scaling, and operational stability of GenAI workloads
• Minimum 5+ years of experience assisting in implementing monitoring, logging, and observability practices for production environment
• Minimum 5+ years of experience developing and deploying GenAI systems across cloud platforms (Azure and AWS)
• Minimum 5+ years of experience contributing to distributed system design for scalable AI workloads
• Minimum 5+ years of experience utilizing modern infrastructure practices: Containerization (Docker), Orchestration (Kubernetes), and Infrastructure as Code (Terraform, ARM/Bicep)
• Minimum 5+ years of experience ensuring solutions meet enterprise expectations for availability, performance, and securit
• Minimum 5+ years of experience developing scalable applications using Python and microservices-based architecture
• Minimum 5+ years of experience applying secure coding standards and proper data handling practices for enterprise, regulated environments
• Minimum 5+ years of experience contributing to CI/CD pipelines, automated testing, and deployment workflows
• Minimum 5+ years of experience participating in code reviews and adhere to engineering best practices

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.