About Team Pumpkin :
Team Pumpkin provides end-to-end technology and marketing solutions to multiple Global brands. Our services range from software development and feature enhancement of current products to marketing and customer outreach activities. With a strong and diverse team, we provide creative solutions to complex business problems that further enable the organizations we work with to ideate and break through traditional business barriers.
About this Role :
As a UI/UX Designer you will have the opportunity to build & work on complex products/projects across industries and segments. We at Team Pumpkin want you to grow professionally and thus provide you an environment where you take ownership of the project/products you work on.
Responsibilities
- Working on multiple projects, applications and websites
- Working on cross platform designs to provide optimised design for an application/website
- Understanding client requirements to provide designs/flows as per expectations
- Conducting in-depth research on potential competitive landscape to understand industry specific trends/benchmarks
- Developing wireframes to provide/communicate potential screenflows
- Analysing client feedback and incorporating design changes
- Designing UI elements such as navigation/interaction elements, CTAs, widgets, buttons, search bars etc.
- Assisting the engineering and development team to translate design to code
Requirements:
- Atleast 6-8 years of experience in developing and managing complex design projects
- Have a strong design principles and have a diverse portfolio to showcase
- Proficiency in any of the design suites such as Figma, Indesign, Photoshop , Invision etc.
- Ability to understand company/brand guidelines and incorporate the same within design
- Extensive experience in collaborating with multiple teams both inter/intra company
- Experience in providing creative insight to improve existing products
- Basic front end knowledge of HTML/CSS is a plus

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- LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
- Context & Knowledge Base Design.
- Context & Knowledge Base Design.
- Experience running LLM evals
NOTICE PERIOD: Immediate – 30 Days
SKILLS: LLM, AI, PROMPT ENGINEERING
NICE TO HAVES:
Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments
ROLE PROFICIENCY:
Role Scope / Deliverables:
- Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
- Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
- Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
- Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
- Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
- Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.
KEY DELIVERABLES:
- LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
- Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
- Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
- Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
- AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
- Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.
KEY SKILLS:
Technical & Analytical Skills:
- LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
- Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
- Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
- Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
- Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
- Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
- Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
- Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
- Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
- Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
- Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.
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Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and implementations, including requirement discovery, onboarding execution, go-live ownership, and early adoption success
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Exp: 3+ Years
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