AI Engineer - Remote - San Diego - USA
Cadre AI is looking for a talented AI Engineer to join our dynamic team and help drive the development and optimization of our AI-powered platforms. We’re seeking a candidate with strong technical expertise in machine learning and artificial intelligence who has a proven record of building scalable AI solutions.
We are seeking a talented AI/ML Engineer with expertise in Generative AI, proficiency in working with Large Language Models (LLMs) such as OpenAI's GPT series, Anthropic's Claude, Google's Gemini, and familiarity with open-source models like Llama. Additionally, you should have strong prompt engineering skills and experience in evaluating ML models and LLMs. In this role, you will design, develop, and implement machine learning models and AI algorithms across various projects within the company. Your work will span multiple domains, allowing you to apply your expertise to a range of challenges and collaborate with cross-functional teams.
Responsibilities:
- Develop and Implement AI Solutions: Design and implement machine learning models and algorithms, with a strong focus on Generative AI and LLMs, for applications such as OCR, RAG, conversational agents (langchain/langgraph), content generation, and more.
- Prompt Engineering: Create and optimize prompts to effectively interact with LLMs, improving model outputs and aligning them with business objectives.
- Experience with prompt optimization libraries like DSPy is a plus
- Model Evaluation and Fine-tuning: Evaluate the performance of ML models and LLMs, conducting rigorous testing and validation to ensure they meet quality standards. Fine-tune models based on evaluation results.
- Data Preparation and Management: Collect, preprocess, and manage large datasets. Knowledge of data warehouse best practices.
- Cross-Functional Collaboration: Collaborate with software engineers, data scientists, product managers, and other stakeholders to integrate AI models into products and services.
- Research and Innovation: Stay updated on the latest developments in Generative AI, LLMs, and machine learning frameworks to incorporate best practices and new technologies into our solutions.
- Deployment and Monitoring: Deploy models into production environments and monitor their performance, making necessary adjustments and improvements over time.
Qualifications
- Educational Background: Bachelor's or master's degree in computer science, Engineering, or a related field.
- English B2 or above
- Experience: 5+ years of experience as an AI/ML Engineer or in a similar role.
- Proficiency with LLMs: Hands-on experience with LLMs using OpenAI GPT 4/4o/o1, Anthropic's Claude, Google's Gemini, or open-source models like LLaMa.
- Great understanding of how to build RAG systems, agent frameworks, and LLM chains.
- Prompt Engineering Skills: Demonstrated ability to craft and optimize prompts to guide LLM outputs effectively.
- Model Evaluation Expertise: Experience in evaluating ML models and LLMs using appropriate metrics and methodologies.
- Programming Skills: Proficiency in Python and experience with machine learning frameworks such as PyTorch.
- Machine Learning Expertise: Solid understanding of machine learning algorithms, deep learning techniques, and natural language processing. You should know when to use XGBoost vs an LLM.
- Data Engineering Expertise: Solid understanding of SQL (Postgres) and Data Warehouse management (Snowflake)
- Problem-Solving Skills: Strong analytical skills with the ability to tackle complex challenges.
- Communication: Excellent verbal and written communication skills for effective collaboration.
- Team Player: Ability to work collaboratively in a multidisciplinary environment.
Preferred Qualifications
- Cloud Experience: Familiarity with deploying models on cloud platforms like AWS, Google Cloud, or Azure.
- Open-Source Contributions: Experience contributing to open-source AI projects or communities.
- Big Data Technologies: Knowledge of Hadoop, Spark, or other big data processing frameworks.
- Domain Knowledge: Experience in industries such as finance, healthcare, retail, or technology.
If you're passionate about advancing AI and eager to make an impact, we’d love to hear from you! Join Cadre AI and contribute to shaping the future of AI innovation.