Test - AI and Data Engineer

This is a remote position.

AI Engineer

• 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

• 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