Data Engineer

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.

Looking for PHP Developer responsible for managing back end services and the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

You will also be responsible for integrating the front-end elements built by your co-workers into the application.

Therefore, a basic understanding of front-end technologies is necessary as well.

Responsibilities :

- Integration of user-facing elements developed by front-end developers

- Build efficient, testable, and reusable PHP modules

- Solve complex performance problems and architectural challenges

- Integration of data storage solutions

Skills And Qualifications :

- Strong knowledge of PHP web frameworks especially Laravel

- Understanding the fully synchronous behavior of PHP

- Understanding of MVC design patterns

- Understanding of front-end technologies, such as JavaScript, HTML 5, and CSS 3

- Knowledge of object oriented PHP programming

- Understanding accessibility and security compliance

- Strong knowledge of the common PHP or web server exploits and their solutions

- Understanding fundamental design principles behind a scalable application

- User authentication and authorization between multiple systems, servers, and environments

- Integration of multiple data sources and databases into one system

- Familiarity with limitations of PHP as a platform and its workarounds

- Creating database schemas that represent and support business processes

- Familiarity with SQL/NoSQL databases and their declarative query languages

- Proficient understanding of code versioning tools, such as Git

1. Excellent communication skills.
2. They should be able to handle inbound calls
3. They must have to provide training to customers.
4. They need to provide Technical help IN software to customers.
5. They must be able to solve problems to clients by calls via emails.
6. Excellent understanding of excel, pages, word, number & Keynote.

• Identify bad code practices in Ruby and write new analyzers to detect them.
• Improve the coverage of automatically fixable issues.
• Ensure fewer false-positives are reported by the analyzer.
• Work on the internal tools that support analysis runtimes.
• Contribute to open-source static analysis tools.

We’re looking for someone who has:

• Strong foundational knowledge in Computer Science.
• At least 3 years of professional software development experience in Ruby.
• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
• Familiarity with Ruby best practices followed in the industry.
• Native experience with Linux/Unix environment.
• A focus on delivering high-quality code through strong testing practices.

• Developing new user-facing features using React Native and React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high-quality code
• Optimizing components for maximum performance across a vast array of devices and browsers

What is required

• 1+ years of experience
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Strong experience in React Native and/or React JS and their core principles
• Ability to take ownership of code as well as the end to end functionality
• Experience with popular workflows (such as Flux or Redux)
• Experience with middleware for API calling( such as Saga or Thunk)
• Familiarity with RESTful APIs
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, Yarn, NPM, etc.
• Familiarity