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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - GenAI / RAG - **Company:** AITA Consulting Services Inc. - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $75,000.0 - $90,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Data Infrastructure, Graph Database, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Random Forest, Apache Spark, Deep Learning, Model Validation, Build Management, AI Platforms, Xgboost, Machine Learning Operations, Virtual Agents, Databricks - **Published:** September 20, 2026 - **Apply:** https://www.careerjet.com/jobad/us7b426e26f282e5fedc11b5c4bfcc508a ## About the Role Focus: We need candidates with real hands-on experience in Agentic AI and Traditional Data Science, not candidates who have only recently started exploring GenAI/LLMs. Continuous production implementation experience is preferred. What the Hiring Team is Looking For * Traditional Data Scientists who have evolved into GenAI/Agentic AI solutions. * Candidates who can discuss end-to-end problem solving, feature engineering, predictive analytics, model selection, and solution design. * Hands-on experience designing and implementing RAG, LLM, and Agentic AI solutions. * Strong understanding of business use cases and ability to interact with customers and stakeholders. * Ability to explain architecture decisions, technical trade-offs, and implementation approaches. Mandatory Skills * Strong Data Science background * Strong Machine Learning implementation experience * Hands-on LLM & RAG architecture and implementation * Experience with Agentic AI concepts and workflows * Strong client-facing / consulting and stakeholder communication skills * Exposure to Deep Learning concepts and implementations * Experience with cloud AI platforms such as AWS Bedrock, Azure OpenAI, or Vertex AI, * Strong hands-on experience in Agentic AI and Multi-Agent Systems * Experience with LangGraph, LangChain, MCP (Model Context Protocol), tool calling, agent orchestration * Strong RAG implementation experience including Vector Databases, Hybrid Retrieval, Reranking, Knowledge Graphs * Hands-on experience with AWS Bedrock and enterprise GenAI solutions * Strong Python and SQL skills * Solid Traditional Data Science / Machine Learning background: * Classification * Regression * Forecasting * Anomaly Detection * Feature Engineering * Model Evaluation * Experience with XGBoost, CatBoost, Random Forest, Deep Learning frameworks (PyTorch/TensorFlow) * Experience designing and deploying production AI/ML systems * Understanding of MLOps / LLMOps, model monitoring, evaluation, observability, and retraining pipelines * Ability to translate business problems into ML or Agentic AI solutions * Experience with LLM Evaluation, Hallucination Detection, Groundedness and Retrieval Quality metrics * Exposure to Databricks, Spark, Vector Databases, APIs, Cloud Platforms (AWS preferred) ## Description * Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces * Work closely with client data science teams (ML/DL ecosystems) * Develop GenAI-based enterprise knowledge solutions * Collaborate directly with stakeholders and customers Tech Environment * AWS ecosystem * Snowflake (data platform) ## Related Videos - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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