
AI Application Engineer
2 days ago
We're seeking an AI Application Engineer to join our team and drive the integration of GPT-4 or Claude into our enterprise product stack.
Key Responsibilities:- Prompt Strategy & Optimization: Develop 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 Orchestration: Use LangChain (or similar) to orchestrate LLM workflows, handle chaining, agent logic, and prompt orchestration.
- Rapid Feature Deployment: Ship GPT-4, Claude, or equivalent API–driven features via Python backends within agile product timelines.
- Collaborative Engineering: Work closely with product managers, ML engineers, and backend teams to shape prompt-driven enterprise features.
- Prompt Engineering Mastery: Nuanced craft of structure, style, tone, contextual framing—plus hands-on prompt versioning and prompt-engineering heuristics.
- Evaluation Skillset: Experience with PromptEval or similar multi-prompt evaluation systems, self-consistency decoding, and chain-of-thought testing pipelines.
- LLM-Oriented Dev: Solid LangChain (or equivalent) knowledge—prompt chaining, agent workflows, embeddings, orchestration.
- Python Proficiency: Scripting, API services, backend architectures.
- This is a unique opportunity to be at the forefront of GenAI technology in our company.
- You'll operate in a fast-moving startup environment with autonomy, iteration speed, and direct impact.
This role offers the chance to be part of a dynamic team that's driving innovation in AI application engineering.
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