Prompt Engineer

About Company :

Nomiso is a product and services engineering company. We are a team of Software Engineers Architects Managers and Cloud Experts with expertise in Technology and Delivery Management.

Our mission is to empower and enhance the lives of our customers through efficient solutions for their complex business problems.

At Nomiso we encourage entrepreneurial spirit to learn grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. Were in pursuit of colleagues who share similar passions are nimble and thrive when challenged. We offer a positive stimulating and fun environment with opportunities to grow a fast-paced approach to innovation and a place where your views are valued and encouraged.

We invite you to push your boundaries and join us in fulfilling your career aspirations!

Position Overview:

We are looking for a highly skilled and experienced Prompt Engineer to design optimize and productionize prompts for Large Language Models (LLMs) and Generative AI systems.

The ideal candidate will have deep experience working with foundation models retrieval systems and AI application architecture. You will collaborate closely with AI/ML engineers data scientists and product teams to design reliable scalable and business-ready GenAI solutions.

This role requires both hands-on experimentation and architectural thinking ensuring prompts are robust cost-efficient and aligned with real-world business use cases.

Roles and Responsibilities:

• Design test and optimize prompts for LLM-based applications (chatbots copilots automation agents summarization systems etc.).
• Develop advanced prompting strategies including few-shot learning chain-of-thought prompting role prompting and structured outputs.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Work with vector databases and embedding models for semantic search and contextual AI systems.
• Evaluate and benchmark LLM performance using structured evaluation metrics (hallucination rate factual consistency response quality).
• Collaborate with AI/ML and backend teams to integrate LLM solutions into production systems.
• Implement guardrails safety filters and prompt security strategies.
• Optimize token usage and model costs while maintaining output quality.
• Experiment with multiple LLM providers (OpenAI Anthropic open-source LLMs etc.).
  
  
• Document prompt strategies evaluation frameworks and best practices.
• Mentor junior AI engineers in prompt engineering techniques.
• Stay updated with the latest advancements in Generative AI and LLM research.

Must Have Skills:

• 8 years of overall experience in software engineering AI/ML or related fields.
• 3 years hands-on experience working with LLMs and Generative AI systems.
• Strong experience in Prompt Engineering for GPT-class or similar foundation models.
• Deep understanding of LLM architecture concepts (transformers embeddings attention mechanisms).
• Establish and manage the prompt lifecycle including versioning deployment monitoring and retirement of prompts to ensure consistency and performance at scale.
• Hands-on experience building RAG pipelines.
• Experience with vector databases (Pinecone Weaviate FAISS etc.).
• Strong Python programming skills.
• Experience integrating LLMs into production applications (APIs microservices).
• Focus on transforming unstructured data outputs from LLMs into reliable structural outcomes (e.g. JSON XML) for seamless consumption by downstream systems and applications.
• Familiarity with evaluation frameworks for GenAI systems.
• Strong understanding of model limitations hallucination mitigation and prompt guardrails.
• Experience working with cloud platforms (AWS preferred).

Good to Have:

• Experience with LangChain / LlamaIndex / Semantic Kernel.
• Exposure to fine-tuning LLMs or parameter-efficient tuning techniques (LoRA adapters).
• Experience with AI observability tools.
• Understanding of AI security and responsible AI practices.
• Experience with multi-agent systems and autonomous AI agents.
• Exposure to multimodal models (text image).

Qualification:

Bachelors or Masters degree in Computer Science Engineering AI Data Science or related technical field.

Location: Hyderabad India

Website: Nomiso:

Nomiso is a product and services engineering company. We are a team of Software Engineers Architects Managers and Cloud Experts with expertise in Technology and Delivery Management.

Our mission is to Empower and Enhance the lives of our customers through efficient solutions for their complex business problems.

At Nomiso we encourage entrepreneurial spirit - to learn grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. Were in pursuit of colleagues who share similar passions are nimble and thrive when challenged. We offer a positive stimulating and fun environment with opportunities to grow a fast-paced approach to innovation and a place where your views are valued and encouraged.

We invite you to push your boundaries and join us in fulfilling your career aspirations!

We are an equal opportunity employer and are committed to diversity equity and inclusion. We do not discriminate on race religion color national origin gender sexual orientation age marital status veteran status disability status or any other protected characteristics.