Graphic Designer

Key Responsibilities

• Manage daily accounting operations in Tally ERP

• Handle Accounts Payable: invoice verification, vendor payments & reconciliation

• Prepare and file GST returns, maintain GST records & ensure compliance

• Calculate, deduct & file TDS returns

• Maintain ledgers, books of accounts & financial records

• Coordinate with vendors for billing, statements, and payment follow-ups

• Assist in monthly, quarterly & yearly closing activities

• Support internal & external audits with proper documentation

• Prepare MIS and financial reports as needed

🎯 Requirements

• 1 years of experience in accounting

• Strong knowledge of Tally ERP, GST, TDS

• Good understanding of accounting principles and compliance

• Proficiency in MS Excel

• Detail-oriented with good communication & organizational skills

We are hiring a Senior Data Engineer with strong expertise in Databricks, Azure Data Factory, and PySpark.

Must Have:

• Databricks, ADF, PySpark
• Mastery: AWS/Azure/SAP, ELT, Data Modeling
• Skills: Data Integration & Processing, GitHub/GitHub Actions, Azure DevOps, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest

Responsibilities:

• Build and optimize scalable data pipelines
• Architect & implement ELT/data models
• Manage data ingestion, integration, and processing workflows
• Enable CI/CD with DevOps tools
• Ensure code quality & reliability

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.

We are looking for a highly skilled Senior Full Stack Developer with experience in building secure, scalable, and high-performing web applications for eLearning or fintech platforms. The ideal candidate will have a strong background in multi-tenant dashboards, role-based access control, and API integrations, with a proactive, go-getter mindset.

Key Responsibilities:

• Develop and maintain multi-tenant dashboards with role-based access control (RBAC) and hierarchical permission models.
• Implement authentication, authorization, and session management across different user tiers, ensuring secure handling of credentials and sensitive data.
• Integrate LMS systems, third-party APIs, and fintech services while maintaining data integrity and security.
• Ensure secure hosting, multi-layered application protection, and adherence to IT standards and best practices.
• Optimize applications for performance, scalability, and reliability across platforms.
• Collaborate with cross-functional teams, including designers, content developers, and project managers, to deliver end-to-end solutions.

Required Skills & Experience:

• Proven full-stack development experience with technologies such as JavaScript, React, Node.js, Python, Java, or similar.
• Hands-on experience with multi-level user management, RBAC, and dashboard architectures.
• Strong knowledge of APIs, hosting, cloud services, and secure deployment practices.
• Familiarity with data security protocols, fintech integrations, and enterprise IT standards.
• Excellent problem-solving skills, proactive approach, and ability to work independently.

Preferred:

• Experience in eLearning platforms (SCORM, xAPI) or fintech solutions.
• Knowledge of database optimization, caching, and performance tuning.
• Experience with international eLearning projects or multi-location deployments.

Role & Responsibilities

• work with peers in Product, QA, and other Engineering departments;
• coach and mentor team members;
• cautiously drive adoption of new technologies and processes;
• preserve our engineering values of quality, scalability, and maintainability;
• “see around corners” — identify blind spots and prioritize work across teams;
• work with international teams to ensure successful product development and delivery; and
• own the overall architecture and systems engineering for your products.

Ideal Candidate

• exceptional communication and organizational skills;
• experience recruiting for and building software engineering teams;
• the ability to inspire and motivate team members;
• a strong technical background in software engineering and architecture, and experience with modern programming languages and frameworks;
• 6+ years of software development experience; and
• 4+ years of experience managing software teams (as a Team Lead or a Manager) or similar experience as an individual contributor.

About Vyapar:

We are a technology and innovation company in the fintech space, delivering business accounting software to Micro, Small & Medium Enterprises (MSMEs). With more than 5 Million users across 140 countries, we are one of the fastest growing companies in this space. We take the complexity out of invoicing, inventory management & accounting, making it so simple, such that small businesses can spend less time on manual bookkeeping and spend more time focusing on areas of business that matter.

Role Summary:

Vyapar's Engineering team builds the technology platform that eases and digitizes our customers' bookkeeping and enables the transition of cumbersome accounting data from general bookkeeping to a digitized always available resource.

The Javascript engineer will be responsible for the developing features in Vyapar application. Strong understanding of HTML, CSS, JavaScript, Responsive design, JQuery, React, database etc. concepts is critical

Key Responsibilities:

• Translate designs and wireframes into high-quality code.
• Design, build and maintain high performance, reusable, and reliable code.
• Ensure the best possible performance, quality, and responsiveness of the application.
• Use of complex algorithm to build the business requirements.
• Help maintain code quality, organization, and automatization.
• Ability to understand business requirements and translate them into technical requirements

Desired Skills And Requirements

Must have

• Strong JavaScript
• HTML, CSS 
• React/Angular/JQuery/Vue
• Problem-solving skills, and Data Structures.
• Strong knowledge of SQL database or RDBMS.

Good to have

• Familiarity with RESTful APIs to connect applications to back-end services.
• Strong knowledge of Web UI design principles, patterns, and best practices.
• Experience with offline storage and performance tuning.
• Experience and understanding of database concepts and sql queries.
• Familiarity with cloud message APIs and push notifications.
• Familiarity with continuous integration.
• A knack for benchmarking and optimization.

Experience:

• Minimum 4 years of experience in JavaScript
• Minimum 3 years of experience in HTML, CSS
• Minimum 3 years of experience in SQL/ RDBMS.

Education:

• A full-time B.E/ B.Tech Degree from a recognized university.

Desired Experience

3+ years

Job Description

What You’ll Do

• Design financial systems for scale. Measure, plan, iterate.
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Setup and own the engineering architectures built around event sourcing, application sharding, database sharding, service communication mesh, etc.
• The tech: Go, Google Cloud Spanner, Kafka, Redis

What you bring to the table

• 3+ years of experience. Relevant experience is preferred.
• Knowledge of 2 common programming languages - Python & Go / Java & Node / Rust
• Comfortable in linux command line, AWS or GCP
• Strong unit test and debugging skills
• Great communication skills

Bonus if you have…

• Love building great products and engineering systems from scratch
• Are a Self-starter, Hustler and Curious to Learn
• Have an understanding of fundamental design principles behind a scalable application
• Thrive in an early-stage startup environment with less stability and more ambiguity
• Have an interest in financial products and/or cryptocurrency

Job Responsibilities:

• Experienced in successfully delivering projects with an effort of at least 300 MM - 400 MM
• Delivering projects in Capital Market domain – either in implementation projects or in BAU support projects
• Strong grasp on project management methodologies: planning, work break down, estimation & tracking
• Knowledge on estimation techniques, risk management
• Development background on JEE based application

Desired Traits:

• Very good communication & presentation skill
• Managing different types of stakeholders
• Good leadership skill including conflict resolution and expectation management of project team

Certification:  PMP