Generative AI Engineer

Responsibilities

We are looking for an experienced and innovative Generative AI Engineer to join a growing Data & AI team. This position is ideal for a seasoned software engineer with deep expertise in generative AI and a passion for building robust, scalable AI-powered applications. You will lead efforts in designing, prototyping, and deploying GenAI solutions, while contributing to the evolution of the broader AI platform across cloud environments such as Google Cloud Platform (GCP) and Microsoft Azure. Key Responsibilities:

• Architect and implement scalable GenAI solutions aligned with business needs
• Design and prototype LLM-powered applications using methods like Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and vector search
• Develop APIs and reusable components in Python to support AI services
• Utilize orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex) to build modular AI workflows
• Deploy, monitor, and maintain GenAI pipelines using cloud-native tools, Kubernetes, and serverless platforms
• Analyze system and model performance, identifying opportunities for optimization
• Maintain clear technical documentation and support materials for deployed systems
  
  

Working Conditions:

• Hybrid schedule: 3 days per week onsite in Houston, TX
• Open office environment
  
  

Minimum Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field
• 5 years of professional software development experience with strong proficiency in Python
• 2 years of hands-on experience developing GenAI or LLM-based applications
• Experience with agent-based AI workflows using orchestration tools such as LangGraph
• Deep understanding of retrieval pipeline design, including chunking strategies, embedding models, and integration with vector databases
• Strong working knowledge of GenAI concepts such as:
• Retrieval-Augmented Generation (RAG)
• Vector databases (e.g., FAISS, Pinecone, ChromaDB)
• Prompt engineering and LLM fine-tuning
• APIs from platforms like OpenAI, Claude, or Gemini
• Experience deploying AI solutions on GCP and/or Azure
• Solid understanding of API development, microservices, and distributed system architecture
• Familiar with version control systems like Git or Azure DevOps
• Proficient with Docker and Kubernetes for containerization and orchestration

Preferred Qualifications:

• Hands-on experience with GenAI orchestration tools (LangChain, LlamaIndex, etc.)
• Familiarity with DevOps practices, including CI/CD pipelines (e.g., Azure DevOps, YAML) and infrastructure-as-code (e.g., Terraform)
• Strong communication and collaboration skills, with the ability to influence technical direction
• Comfortable working both independently and in cross-functional team environments
• Interest in leveraging AI to enhance development workflows and productivity
  
  

Salary:120-180K

Posted By: Carter Smith