Motion Recruitment
Overview
Join to apply for the
Generative AI Engineer
role at
Motion Recruitment . 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
Salary: 120-180K
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Join to apply for the
Generative AI Engineer
role at
Motion Recruitment . 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
Salary: 120-180K
#J-18808-Ljbffr