Sales Executive - ERP

MUST-HAVES:

• 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.

Primary Responsibilities:

Developer for IT Regulatory team, work with the development manager and key stakeholders to understand business requirements and develop moderately complex technical solutions.

Work collaboratively with the team to support existing functionality and build, implement, and support new solutions.

Draft and review technical diagrams, specifications documents and required project documentation.

Conduct code reviews of other developers.

Share experience and knowledge with the team to improve productivity & delivery timelines.

Continuously seek ways to improve our existing architecture, advises on complex code deficiencies, provides systemic proposals, and promote efficiencies where necessary.

Job Requirements:

Undergraduate degree in computer science or technology discipline

5+ years of Core Java Development experience & Integration Technologies (Spring, MQ, JSON, XML, SOAP).

Experience writing SQL queries (DB2, Snowflake).

Crystal reports/Excel Writer/Aspose.

Working knowledge of scripting languages (Perl, Unix Shell, Python).

Experience working with source code repositories (Bitbucket, GitHub)

JavaScript, Angular is a plus.

Sound understanding of Object-Oriented Design & Programming, Enterprise Architecture Patterns and GoF design.

A flexible, tenacious team player with a positive attitude and strong interpersonal skills, able to build collaborative relationships with globally distributed teams.

Strong analytical and design skills with attention to detail.

Excellent communication (verbal and written) skills; Able to communicate with different stakeholders effectively.

Experience developing technical solutions in Investment Management industry.

Understanding of portfolio accounting concepts and trade lifecycle

• You should have minimum 5 years of experience doing .NET XAMRIN development with MAUI experience.
• Please do not post your resume if you have less than 5 years of development experience.
• Strong knowledge of, XAML, C# along with MAUI.
• Experience developing Cross Platform applications (Android/iOS/Windows) in- MAUI.
• Strong Knowledge of Core concepts of Android & iOS.- Good exposure to UI development using.
• Xamarin.Good knowledge in programming using .NET/ Blezor C#- Good exposure to Webservices.
• Candidate should have a good understanding of Agile methodologies.
• Excellent problem-solving skills, self-motivated, adaptable, and goal-oriented.
• Should have good verbal and written communication in English.
• Experience in working with ESRI APIs

• 2-5 years of professional Android Application development experience.
• Experience in designing, development, and REST API Integration of Android Applications using Dart, Java, or Kotlin.
• Strong knowledge of Android UI design principles, patterns, and best practices.
• Ability to design, build, and maintain high-performance, reusable, and reliable code.
• Deep knowledge of Android SDK, different versions of android, and handling of multiple screen sizes.