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3CLogic - Prompt Engineer - LLM

3CLogic
Multiple Locations
4 - 8 Years

Posted on: 14/02/2026

Job Description

Description :



Experience : 4 to 8 yrs

Job Type : Permanent

Location : Sector -142, Noida

Position Summary :


We are looking for a Prompt Engineer who views LLMs as a powerful engine requiring a precision-tuned transmission. You wont 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 fast, reliable, and scalable.

Key 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 :


- 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 Writingyou understand how humans and machines process language.

Benefits :


- Flexible Working Hours.


- Hybrid Working Style.


- Personal Accidental Insurance.


- Health Insurance to Self, Spouse and two kids.


- 5 days working week.


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