AI Engineer

The Global Talent Co.
•Remote

About The Position

AI ENGINEER (LLMs & Generative AI) The role: You will work with Cadre AI, joining a dynamic team focused on the development and optimization of AI-powered platforms . This role requires strong technical expertise in machine learning, artificial intelligence, and large language models (LLMs) , with a proven track record of building scalable AI solutions . You will play a key role in designing, building, and deploying AI systems, working with technologies such as OpenAI GPT-4, Anthropic Claude, Google Gemini, and open-source models like Llama , while staying at the forefront of advancements in generative AI. Position: AI Engineer (Full-Time | Remote) Seeking a talented AI Engineer to help drive the development, optimization, and deployment of AI solutions . The ideal candidate has hands-on experience with LLMs, RAG systems, and AI model deployment , and thrives in a highly technical, fast-evolving environment. About us: We are focused on building and optimizing AI-powered platforms , bringing together cutting-edge technologies and expertise in machine learning and large language models . The team is dedicated to advancing AI capabilities and applying them to real-world challenges through scalable, high-impact solutions. If you're passionate about advancing AI and eager to make an impact, this is an opportunity to contribute to shaping the future of AI innovation . 🚀

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 5+ years of experience as an AI/ML Engineer or similar role.
  • Hands-on experience with LLMs (OpenAI GPT-4, Anthropic Claude, Google Gemini, Llama).
  • Strong expertise in building RAG systems, agent frameworks, and LLM chains.
  • Proficiency in Python and experience with machine learning frameworks such as PyTorch.
  • Solid understanding of machine learning algorithms, deep learning, and NLP.
  • Experience evaluating ML models and LLMs using metrics and validation methodologies.
  • Experience with SQL (Postgres) and data warehouse management ( Snowflake preferred )
  • Strong problem-solving and analytical skills.
  • Excellent communication skills and ability to work in a multidisciplinary environment.

Nice To Haves

  • Experience deploying AI models on cloud platforms (AWS, Google Cloud, Azure).
  • Open-source contributions in AI projects or participation in AI research communities.
  • Experience with big data technologies (Hadoop, Spark).
  • Domain knowledge in industries such as finance, healthcare, retail, or technology

Responsibilities

  • Design and implement machine learning models and AI algorithms for applications such as OCR, retrieval-augmented generation (RAG), conversational agents, and content generation.
  • Develop and optimize prompts for LLMs to improve model outputs and align with business objectives.
  • Evaluate and fine-tune ML models and LLMs using rigorous testing and validation methodologies.
  • Collect, preprocess, and manage large datasets to support AI model training and deployment.
  • Collaborate with software engineers, data scientists, and product teams to integrate AI models into products and services.
  • Stay updated on the latest advancements in generative AI, LLMs, and machine learning frameworks.
  • Deploy AI models into production environments and monitor performance, making necessary adjustments over time.
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