AI Engineer

AI ENGINEER (LLMs & Generative AI)

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)

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.

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 Have:

• 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 .