
AI Engineering Specialist
2 weeks ago
Job Overview:
We are seeking a skilled AI Engineer to join our team. As an AI Engineer, you will be responsible for designing and developing AI models that drive business growth.
Key Responsibilities:
- Craft complex prompts to elicit accurate responses from Large Language Models (LLMs).
- Evaluate prompt effectiveness using established metrics and frameworks.
- Develop orchestration systems for LLM workflows, ensuring seamless integration with backend services.
- Design and refine prompts for tone, style, accuracy, and robustness.
- Implement evaluation frameworks, including sampling prompt variations to derive performance distributions.
- Apply self-consistency decoding techniques to generate multiple reasoning paths and select the most consistent outcome.
- Leverage chain-of-thought prompting (CoT) to induce step-by-step logical reasoning in LLM responses.
- Build retrieval-augmented generation (RAG) pipelines, incorporating document ingestion, embeddings, vector stores, and dynamic context retrieval.
- Deploy GPT-4, Claude, or equivalent API-driven features via Python backends within agile product timelines.
- Maintain modifiable prompt libraries, versioned evaluation pipelines, and deployment mechanisms.
Required Expertise:
- 3–6 years of experience in AI/ML, NLP, GenAI, or related prompt-based engineering roles.
- Prior experience deploying prompt-driven product features, evaluation pipelines, and LLM orchestration.
- Open-source or technical portfolio preferred (GitHub links + sample prompt experiments).
- Bonus: experience with PromptEval, Promptfoo, or other LLM evaluation toolkits.
- Bonus: front-end or full-stack prototype experience using React, FastAPI, or Streamlit.
Why Join Us:
- Ai is at the core of our product strategy – prompt engineering is the growth engine.
- You'll operate in a fast-moving startup environment with autonomy, iteration speed, and direct impact.
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