Role Overview:
We are seeking highly skilled
Prompt Engineers
with strong expertise in Large Language Models (LLMs), prompt design, and advanced NLP solutions. The ideal candidate will have hands-on experience delivering LLM production projects, including prompt optimization, fine-tuning, retrieval-augmented generation (RAG), and secure deployment of LLM-based workflows in enterprise environments.
Key Responsibilities:
* Design, test, and deploy prompts for real-world LLM applications ensuring consistency, relevance, and accuracy.
* Develop prompt engineering pipelines integrating
Python
,
LLM APIs
, and data manipulation tools (e.g., Pandas).
* Implement
fine-tuning
or
RAG pipelines
to optimize performance for enterprise use cases.
* Define evaluation strategies using
BLEU, ROUGE, semantic similarity, and human-in-the-loop validation frameworks
.
* Ensure compliance with
security best practices
(prompt injection prevention, safe output structuring, API limitations).
* Collaborate with business and technical stakeholders to translate complex requirements into actionable LLM solutions.
* Analyze outputs for consistency, scalability, and high-level architectural alignment.
* (Good to Have) Work with
vector databases
and integrate with tools such as
LangChain, LlamaIndex, OCR/NLP pipelines
.
Mandatory Skills:
* Prompt Engineering Experience:
Proven track record of
2+ production-grade LLM projects
.
* Prompt Design Expertise:
Deep understanding of
prompt structures and contextual framing
.
* Python Proficiency:
Strong Python development background with LLM API integration.
* Advanced LLM Techniques:
At least one
fine-tuning
or
RAG pipeline implementation
.
* Evaluation & Validation:
Familiarity with evaluation metrics (BLEU, ROUGE, semantic similarity).
* Security Awareness:
Knowledge of
prompt injection, output filtering, API limitations
.
* Communication Skills:
Strong ability to communicate technical and functional requirements.
* Analytical Thinking:
Balance of
strategic design and output-level accuracy
.