Applied AI Engineer

Location: Houston, TX – hybrid 3 days per week onsite Job Title: Applied AI Engineer Job Summary: We are seeking a talented and driven Applied AI Engineer to join our growing Data & AI team. This role is ideal for an experienced software engineer with a deep understanding of generative AI technologies and a passion for building scalable, production-grade AI solutions. You will be responsible for designing, prototyping, and deploying GenAI-powered applications, while also contributing to our AI platform architecture across cloud environments such as Google Cloud Platform (GCP) and Microsoft Azure. Key Responsibilities: •     Translate business needs into robust, scalable GenAI technical solutions. •     Design, prototype, and implement LLM-driven applications using techniques such as RAG, prompt engineering, fine-tuning, and vector search. •     Develop APIs and reusable software components in Python to support GenAI applications. •     Leverage orchestration frameworks (e.g., LangChain, LlamaIndex, or LangGraph) to deliver dynamic and modular AI workflows. •     Collaborate with cross-functional teams to integrate AI capabilities into business applications. •     Deploy and monitor GenAI models and pipelines using cloud-native tools, Kubernetes, and serverless architectures. •     Continuously evaluate model and system performance, implementing improvements as needed. •     Create and maintain technical documentation and support materials for deployed solutions. Working Conditions: •     Hybrid work model: Onsite in Houston office 3 days per week. •     Open office environment. Minimum Requirements: •     Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. •     5+ years of software development experience with strong Python skills. •     2–3+ years of hands-on experience building GenAI/LLM-based applications. •     Experience developing multi-step agent workflows using LangGraph or similar orchestration frameworks. •     Proficient in designing retrieval pipelines: document loaders, chunking strategies, embedding models, and vector database integration. •     Strong grasp of GenAI concepts, including: ◦     Retrieval-Augmented Generation (RAG) ◦     Embeddings & vector databases (e.g., FAISS, Pinecone, ChromaDB) ◦     Prompt engineering and fine-tuning ◦     LLM APIs (e.g., OpenAI, Claude, Gemini) •     Experience deploying cloud-native solutions using GCP and/or Azure. •     Solid understanding of API design, microservices, and software architecture patterns. •     Familiarity with version control systems (e.g., Git, Azure DevOps). •     Experience with Docker and Kubernetes. •     Demonstrated ability to build and scale AI/ML solutions from proof-of-concept to production. Preferred Qualifications: •     Experience with GenAI orchestration tools (e.g., LangChain, LlamaIndex). •     Familiarity with DevOps practices: Azure DevOps, YAML pipelines, Terraform. •     Strong interpersonal and communication skills, with the ability to collaborate across teams and influence decision-making. •     Self-starter with a proactive mindset and strong problem-solving abilities. •     Ability to work both independently and in collaborative team environments.      •     Interest in leveraging AI tools to enhance productivity and solution delivery. Job Type: Contract Pay: $60.00 - $70.00 per hour Expected hours: 40 per week Work Location: In person