Database Architect

Job Summary:

We are looking for a skilled and motivated .NET Full Stack Developer with strong expertise in .NET Core, React, and Microservices architecture. The ideal candidate will be responsible for designing, developing, and maintaining scalable, high-performance applications while collaborating with cross-functional teams.

Key Responsibilities:

• Design, develop, and maintain web applications using .NET Core / ASP.NET Core and React.js
• Build and implement microservices-based architecture for scalable systems
• Develop and consume RESTful APIs
• Collaborate with UI/UX designers to implement responsive and user-friendly interfaces
• Ensure code quality through unit testing, code reviews, and best practices
• Work with databases such as SQL Server / NoSQL databases
• Optimize applications for maximum speed and scalability
• Participate in Agile ceremonies like sprint planning, stand-ups, and retrospectives
• Troubleshoot and debug production issues

Required Skills:

• Strong experience in C#, .NET Core, ASP.NET Core
• Hands-on experience with React.js, JavaScript, HTML, CSS
• Solid understanding of Microservices architecture
• Experience in building and consuming REST APIs
• Knowledge of Entity Framework / ORM tools
• Experience with SQL Server / PostgreSQL / MongoDB
• Familiarity with Git / version control systems
• Understanding of design patterns and clean architecture

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.

Requirements: • Bachelor's degree in business management, marketing, or related field. • 0 - 3 years' relevant work experience in business development or similar field preferred. • Excellent written and verbal communication skills. • Ability to handle multiple projects simultaneously and work under pressure. • Proficient in Microsoft Office and relevant software.

Responsibilities: • Identifying profitable business opportunities • Conducting extensive market research • Creating actionable business strategies • Nurturing relationships with clients • Analyzing market trends.

·        Qualification: bachelor’s or master’s degree in computer science, Engineering, or any field.

·        Proven experience of 6+ years in project management, preferably in software development projects involving Python.

·        Strong proficiency in Python programming and familiarity with relevant frameworks.

·        Excellent leadership, communication, and interpersonal skills.

·        Ability to manage multiple projects simultaneously while maintaining quality and timeliness.

·        Expertise in Django/Python/AWS and MySQL.

·        Problem-solving aptitude and a proactive approach to challenges.

·        Experience working in an Agile development environment is highly desirable.

·        Strong organizational and time management skills.

·        Possess a strong understanding of Python programming concepts, frameworks, and best practices.

·        Assist team members with technical challenges, review code, and contribute to technical discussions.

·        Develop comprehensive project plans, including scope, timelines, milestones, resources, and deliverables.

DESIRED SKILLS:

1. Android Development
2. Java / Kotlin
3. Javascript
4. UI / UX
5. Prototyping and Wireframing
6. Graphics and whiteboard application
7. Video-streaming and camera handling on Android