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.

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

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. 🚀