AI Prompt Engineer

We are seeking two AI Prompt Engineers with expertise in advanced prompt engineering techniques to optimize interactions with small and large language models for healthcare applications. This role will focus on designing, refining, and testing highly effective prompts that enhance the accuracy, relevance, and safety of AI-generated responses while ensuring compliance with healthcare regulations.

Responsibilities:

Prompt Engineering Optimization

• Design and develop advanced prompt engineering techniques to improve LLM-generated responses for healthcare applications.
• Fine-tune contextual prompts for improved accuracy, coherence, and latency
• Conduct rigorous A/B testing and evaluation of prompt strategies to optimize performance.

LLM Training and Customization

• Work closely with ML and NLP engineers to fine-tune and train SLM and LLMs for domain-specific tasks.
• Collaborate on data curation, augmentation, and preprocessing to improve model outputs.

Generative AI Conversational AI Development

• Create prompts optimized for healthcare-related interactions, summarization, and decision support.

Performance Monitoring Model Improvement

• Develop advanced metrics and evaluation frameworks to assess prompt effectiveness.
• Implement continuous learning mechanisms to refine AI responses based on user feedback.

Collaboration Research

• Stay ahead of emerging trends in generative AI, LLM advancements, and NLP techniques via research papers
• Collaborate with healthcare professionals, data engineers, and software engineers to integrate AI solutions into real-world workflows.

Skills and Experience:

• Advanced Prompt Engineering: Strong demonstrated experience in crafting effective, structured prompts for AI models.
• Generative AI LLMs: Hands-on experience working with GPT models, LLaMA, or other state-of-the-art open and closed sourced architectures.
• NLP Expertise: Experience in natural language processing techniques such as semantic search, intent recognition, and contextual AI.
• Programming: Strong proficiency in Python, with experience using LangChain,,Transformers
• A/B Testing Model Evaluation: Expertise in designing experiments to assess prompt effectiveness and model accuracy.
• Healthcare Industry Knowledge (Preferred): Familiarity with healthcare workflows, clinical documentation, and medical terminology.

Qualifications:

• Bachelor s or Master s degree in Computer Science, AI, NLP, Data Science, or a related field.
• 2-5 years of experience in prompt engineering, NLP, or generative AI.
• Experience working with LLM-based applications in regulated industries (healthcare preferred).
• Strong portfolio of AI-driven projects, showcasing prompt engineering and model interaction improvements.
• Relevant certifications (e.g., Prompt Engineering, AWS/GCP AI Certifications) are a plus.
• Candidates located in Bangalore will be given preference
• Candidates from top universities is a plus