
Ai/ml Engineer
3 weeks ago
The focus is on crafting, optimizing, and scaling AI-driven interactions that improve system performance, enhance user experience, and deliver measurable business value across a variety of applications.
Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models.
Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools.
Conduct experiments and evaluate to test the accuracy, safety, and quality of AI-generated outputs, learning best practices along the way.
Automate prompt workflows and integrate prompt chains with APIs and tool stacks.
Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed.
Stay curious and keep learning about the latest advancements in generative AI, NLP, and prompt engineering through hands-on practice and research Contribute to building internal documentation, prompt templates and reusable libraries.
Required Skills & Qualifications: Bachelor's degree in computer science.4 years of experience working with LLMs, AI systems, NLP frameworks.
Strong understanding of transformer models and training.
Experience using Open AI (Chat GPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms.
Strong proficiency in Python, with hands-on experience using leading AI frameworks and libraries such as Lang Chain, Llama Index, and others commonly used in LLM and NLP development.
Background in UX, technical writing, or content design is a plus.
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