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6 days ago
The position involves developing and integrating cutting-edge Gen-AI technologies into our enterprise product stack. The selected candidate will be responsible for crafting high-quality prompts, designing evaluation frameworks, and implementing prompt-based features.
- Prompt Engineering: design and refine prompts for tone, style, accuracy, and robustness.
- Evaluation Frameworks: implement evaluation frameworks such as PromptEval, sampling prompt variations to derive performance distributions.
- LLM Integration: build retrieval-augmented generation (RAG) pipelines: document ingestion, embeddings, vector stores, and dynamic context retrieval.
Requirements:
- 3–6 years in AI/ML, NLP, GenAI, or related fields.
- Experience with prompt-driven product features, evaluation pipelines, and LLM orchestration.
- Proficiency in Python scripting, API services, and backend architectures.
Ideal Candidate:
- Strong expertise in prompt engineering, LLM integration, and evaluation frameworks.
- Ability to collaborate closely with cross-functional teams.
- Portfolio of open-source or technical work showcasing prompt experiments and LLM implementations.
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