AI Prompt Engineer

We are seeking a proactive and technically adept AI Prompt Engineer to lead the development and refinement of prompts for platforms including DealCloud, Filament Sifter, and Capsa. The ideal candidate will have hands-on experience with generative AI technologies and will collaborate with leading AI vendors to optimize prompt effectiveness. This role also supports chatbot development and the integration of AI-driven insights into enterprise workflows and dashboards.

Key Responsibilities

 Develop, test, and refine high-quality prompts tailored for DealCloud, Filament Sifter, and Capsa use cases.
 Work closely with AI vendors such as ChatGPT, Claude, and Perplexity to enhance prompt performance and relevance.
Support the design and implementation of AI-powered chatbots within DealCloud to improve user interaction and automation.
Collaborate with data engineers and visualisation specialists to embed AI-driven insights into dashboards and business workflows.
Continuously monitor and improve prompt effectiveness, ensuring contextual accuracy and user satisfaction.
Maintain clear documentation of prompt logic, use cases, and integration strategies.

Desired Experience & Qualification

 Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field
 More than 3 years of experience in AI, NLP, or prompt engineering.
 Proven track record of designing and optimizing prompts for LLMs such as ChatGPT, Claude, Gemini, or Perplexity.
 Strong understanding of generative AI principles, prompt chaining, context window management, and token efficiency.
 Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face.
 Experience integrating AI into enterprise platforms such as DealCloud, Salesforce, or similar CRMs.
 Understanding of workflow automation tools (e.g., Zapier, n8n, Make) and dashboarding platforms (e.g., Power BI, Tableau).
 Hands-on experience in chatbot development and conversational UI design.
 Familiarity with RESTful APIs and SDKs for integrating LLMs into enterprise platforms.
 Knowledge of cloud platforms (Azure, AWS, GCP) and containerization tools (Docker, Kubernetes).
 Ability to translate business requirements into prompt strategies and AI-driven solutions.
 Familiarity with Capsa and Filament Syfter platforms is a strong plus.
 Ability to work cross-functionally with product managers, data scientists, and business stakeholders.
 Strong documentation skills for prompt libraries, use cases, and performance metrics.
 Experience collaborating with external AI vendors and managing technical partnerships.
 Understanding of ethical AI principles, bias mitigation, and responsible AI deployment.
 Familiarity with data privacy regulations (e.g., GDPR, HIPAA) and secure data handling practices.
 Excellent communication and documentation skills.
 Strong analytical and problem-solving skills.
 Ability to work independently.