测试 - AI 和数据工程师

This is a remote position.
AI Engineer

SummaryWe 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