Test - AI and Data Engineer
# Test - AI and Data Engineer **PowerData Group Consulting** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-Engineer]` `[Machine-Learning-Engineer]` `[Data-Engineer]` `[Python-Developer]` `[Backend-Engineer]` `[Data-And-AI-Engineer]` `[AI-Testing-Engineer]` `[AI-ML-Testing-Engineer]` `[Data-+-AI-Engineer]` `[AI-Data-Engineer]` `[AI-Platform-Test-Engineer]` `[AI-ML-Data-Engineer]` `[AI-Testing-Engineering]` `[Data-and-AI-ML-Engineering]` `[AI-Data-Infrastructure-Engineer]` --- ### About the Role This is a remote position. AI Engineer Summary We are looking for a talented AI Engineer to create, refine, and deploy advanced AI-driven solutions that solve genuine business problems. This role involves leveraging cutting-edge technologies, including machine learning, Large Language Models (LLMs), and automation tools, to construct robust and secure applications. The successful applicant will combine strong coding abilities with hands-on experience in AI development to effectively convert business needs into functional technical systems. Responsibilities - Create, test, and launch AI and machine learning systems. - Build and connect applications utilizing generative AI, LLMs, and various AI APIs. - Develop intelligent automation workflows, chatbots, and AI agents. - Deploy Retrieval-Augmented Generation (RAG) systems and link AI models with organizational knowledge bases and databases. - Design and sustain backend services and APIs for AI-driven applications. - Process both structured and unstructured data to facilitate model training and assessment. - Assess the reliability, scalability, accuracy, and performance of AI models. - Apply prompt engineering strategies, optimize models, and utilize evaluation methods. - Uphold data governance, privacy standards, responsible AI principles, and security protocols. - Partner with business analysts, developers, product managers, and other key stakeholders. - Track the performance of live AI solutions and drive continuous improvements. Requirements Requirements: - Essential Qualifications: - Bachelor's degree in Software Engineering, Data Science, Artificial Intelligence, Computer Science, or a comparable discipline, or proven equivalent experience. - Proficiency in Python programming. - Solid grasp of deep learning, machine learning, and core AI principles. - Hands-on experience with generative AI and LLM technologies. - Familiarity with libraries and frameworks like scikit-learn, TensorFlow, or PyTorch. - Proven track record of integrating AI models via APIs (e.g., Anthropic, OpenAI, or similar providers). - Competence in backend development, JSON, and REST APIs. - Experience managing both SQL and NoSQL databases. - Understanding of AI output validation, model evaluation, and prompt engineering. - Knowledge of software development standards, testing, version control (Git), and related tools. - Excellent communication, problem-solving, and analytical capabilities. - Preferred Qualifications: - Background in creating multi-step AI workflows and AI agents. - Familiarity with semantic search, vector databases, and RAG architectures. - Experience using tools like LlamaIndex, LangChain, or comparable platforms. - Knowledge of cloud environments including Google Cloud, Microsoft Azure, or AWS. - Proficiency with Docker, CI/CD pipelines, and production deployment processes. - Insight into AI evaluation frameworks, model monitoring, and MLOps. - Understanding of responsible AI, privacy regulations, and cybersecurity. - Experience embedding AI into enterprise systems such as recruitment tools, ERP, or CRM. - Core Competencies: - Exceptional analytical and technical proficiency. - Capacity to resolve intricate issues and deliver actionable solutions. - Flexibility to collaborate effectively and work autonomously. - Superior written and oral communication skills. - Commitment to staying current with the fast-paced AI landscape. - Skill in translating complex technical details for non-technical audiences. Benefits AI Data Remote Originally posted on Himalayas
- AI-Engineer
- Machine-Learning-Engineer
- Data-Engineer
- Python-Developer
- Backend-Engineer
- Data-And-AI-Engineer
- AI-Testing-Engineer
- AI-ML-Testing-Engineer
- Data-+-AI-Engineer
- AI-Data-Engineer
- AI-Platform-Test-Engineer
- AI-ML-Data-Engineer
- AI-Testing-Engineering
- Data-and-AI-ML-Engineering
- AI-Data-Infrastructure-Engineer
Наблюдалась 2026-10-06, впервые 2026-10-06, источник — Himalayas (JSON API).