AI Engineer
1 week ago
Join a stealth-mode application startup as an AI Engineer, where you’ll craft cutting-edge solutions leveraging large language models (LLMs), prompt engineering, and API integrations to solve real-world challenges.
What You'll Do
- LLM Expertise: Design, fine-tune, and deploy LLM-powered solutions (e.g., GPT-4, Claude, Llama) tailored to unique business needs.
- Prompt Engineering & Chains: Develop, test, and refine prompt strategies and workflows to maximize the performance and efficiency of LLM-based systems.
- API Development: Build, integrate, and optimize APIs to connect AI systems seamlessly with external platforms and tools.
- Applied Data Science: Use advanced data science methods, including data preprocessing, feature engineering, and model evaluation, to drive accurate and scalable AI solutions.
- Collaborative Problem-Solving: Partner with multidisciplinary teams to translate business challenges into actionable AI applications.
- Innovate & Experiment: Explore the latest advancements in LLMs and generative AI to identify opportunities for improving our offerings.
- Scalable Solutions: Design and deploy efficient architectures for running and monitoring LLM-based applications.
What We're Looking For:
Technical Proficiency:
- Proven experience working with LLMs and optimizing their performance.
- Expertise in prompt engineering, including prompt chaining and workflow development.
- Strong skills in API development (e.g., REST, GraphQL).
- Solid understanding of data science principles such as feature engineering and statistical analysis.
Programming Skills:
- Advanced Python skills, with experience in frameworks like Hugging Face Transformers, TensorFlow, or PyTorch.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
Problem-Solving & Collaboration:
- Ability to tackle complex technical challenges and create scalable, real-world solutions.
- Strong teamwork and communication skills, with the ability to collaborate effectively with technical and non-technical team members.
Eligibility:
- Must be a U.S. resident with authorization to work in the United States.
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