Position Summary:

We are looking for a Prompt Engineer who views LLMs as a powerful engine requiring a precision-tuned transmission.

You won't just be writing instructions; you will be architecting the bridge between raw model potential and production-ready, deterministic AI solutions.

In this role, you will move beyond basic "chat" interfaces to build sophisticated Voice Bots, knowledge assistants, and automated workflows that are rapid, reliable, and scalable.

Role & responsibilities

1. Architecting Intelligence

- Precision Engineering: Design and maintain high-fidelity prompts for Voice AI, summarization, and complex automation.
- Advanced Logic: Deploy Few-Shot, Chain-of-Thought, and Structured Output techniques to transform probabilistic models into reliable business tools.
- Efficiency: Optimize token usage to balance high performance with cost-effectiveness.

2. Evaluation & Reliability

- Science-Based Testing: Move beyond "vibes" by conducting A/B testing and automated evaluations using frameworks like BLEU, ROUGE, or BERTScore.
- Guardrail Development: Build monitoring frameworks to proactively detect and neutralize hallucinations, bias, and irrelevance.
- Human-in-the-loop:



Design feedback loops that allow human expertise to refine AI accuracy over time.

3. Collaborative Integration

- Bridge the Gap: Partner with Data Scientists and Engineers to integrate prompts into RAG pipelines and production APIs.
- Knowledge Leadership: Maintain a reusable prompt library and mentor the broader team on LLM best practices. Qualifications:

Preferred candidate profile

- Academic Foundation: Bachelors or Masters in CS, AI/ML, Data Science, or Computational Linguistics.
- Technical Fluency: Proficient in JavaScript, Python for automation, and a deep understanding of REST APIs, RAG Pipelines.
- Cloud Native: Hands-on experience with Azure OpenAI Service or similar enterprise-grade LLM platforms.
- The RAG Expert: You understand embeddings, vector search, and how retrieval improves model context.

Good To Have:

- Experience with Voice AI testing tools (e.g., Hamming AI, Cekura).
- Familiarity with Vector Databases like Pinecone, Weaviate, or Azure AI Search.
- A background in Cognitive Science or UX Writing you understand how humans and machines process language.

📌 Senior Prompt Engineer Configuration and AI Implementation (Bengaluru)
🏢 Aone Staffing Solution
📍 Bengaluru