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YsecIT - AI Prompt Engineer - Generative AI

Ysecit Software India
4 - 8 Years
Bangalore

Posted on: 11/05/2026

Job Description

Key Responsibilities :


- Design, develop, test, and optimize prompts for Large Language Models (LLMs).

- Create effective prompt frameworks for conversational AI, chatbots, copilots, summarization, content generation, and automation workflows.

- Fine-tune prompt strategies to improve AI response accuracy, relevance, and contextual understanding.

- Work with AI/ML teams to integrate Generative AI models into enterprise applications.

- Evaluate AI model outputs and implement prompt engineering best practices.

- Build reusable prompt libraries, templates, and workflows.

- Conduct experimentation and A/B testing for prompt optimization.

- Collaborate with product managers and business stakeholders to understand use cases and AI requirements.

- Ensure responsible AI usage, governance, and compliance standards.

- Monitor AI performance metrics and continuously improve output quality.

- Stay updated with the latest advancements in Generative AI, NLP, LLMs, and AI frameworks.


Required Skills :


Technical Skills :


- Strong understanding of Generative AI and Large Language Models (LLMs).

- Hands-on experience with :

a. OpenAI / ChatGPT APIs

b. Azure OpenAI

c. Google Gemini

d. Anthropic Claude

e. LangChain / LlamaIndex

- Knowledge of NLP concepts and prompt engineering techniques.

- Experience with Python scripting and API integrations.

- Understanding of Retrieval-Augmented Generation (RAG) architecture.

- Familiarity with vector databases such as Pinecone, ChromaDB, or FAISS.

- Experience with AI model evaluation and fine-tuning concepts.

- Basic understanding of Machine Learning and Deep Learning workflows.

- Knowledge of AI ethics, hallucination handling, and responsible AI practices.


Preferred Skills :


- Exposure to AI agents and autonomous workflows.

- Experience with Hugging Face models and open-source LLMs.

- Familiarity with cloud platforms such as AWS, Azure, or GCP.

- Knowledge of MLOps or AI deployment pipelines.

- Experience in chatbot or virtual assistant development.


Qualifications :


- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field.

- Relevant certifications in AI/ML or Generative AI are preferred.


Preferred Candidate Profile :


- Strong communication and problem-solving skills.

- Creative thinker with analytical mindset.

- Ability to translate business requirements into AI-driven solutions.

- Passion for emerging AI technologies and innovation.

- Ability to work in fast-paced agile environments

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