AI Engineer

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.