

About Grasp Internet
About
We currently deal in mobile accessories with all leading Indian E-Commerce portals, and plan to expand into other lifestyle categories in next 6 months. Our organisation is in a high growth and expansion phase. We are currently among top 200 sellers on Amazon.in among 2 lakh active sellers. It’s a lean team building up right now, which means a lot of work and energy is required, but a lot of learning and rewards too.
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Key Responsibilities
- Design, develop, and maintain scalable backend applications using Java and Spring Boot.
- Develop and maintain RESTful APIs following best practices.
- Implement API versioning strategies to support backward compatibility.
- Create and maintain API documentation using Swagger/OpenAPI.
- Implement Spring Transaction Management to ensure data integrity
- Use Spring Data JPA for database interactions and ORM mapping
- Write efficient SQL queries and optimize database performance
- Implement CQRS (Command Query Responsibility Segregation) where applicable.
- Develop systems based on event-driven architecture patterns.
- Write unit tests using JUnit and Mockito.
- Build and manage projects using Maven or Gradle build scripts.
- Use AI coding assistants such as Gemini Code Assist or similar tools to improve development efficiency.
- Participate in code reviews, design discussions, and architecture decisions.
- Collaborate with frontend teams, DevOps engineers, and product stakeholders.
- Strong problem-solving and debugging abilities
- Ability to design highly scalable backend systems
- Experience working in Agile/Scrum environments
- Good communication and collaboration skills
- Strong code quality and clean architecture mindset
Optional / Good to Have Skills
- Experience with Docker
- Knowledge of Kubernetes
- Experience with GraphQL API development
- Experience with cloud platforms (GCP / AWS / Azure)
Candidates from Supply Chain , Retail preferred
Key Responsibilities:
- Design, develop, and maintain robust and scalable web applications using the MERN stack
- Build reusable components and front-end libraries for future use
- Integrate RESTful APIs and third-party services
- Work with UI/UX designers to implement modern, user-friendly interfaces
- Optimize components for maximum performance across a vast array of web-capable devices and browsers
- Write clean, maintainable, and well-documented code
- Collaborate with product managers, designers, and other developers to deliver high-quality products
- Troubleshoot and debug application issues and ensure the security and performance of the application
Requirements:
- Strong proficiency in MongoDB, Express.js, React.js and Node.js
- Good understanding of JavaScript
- Experience with RESTful APIs and JSON
- Knowledge of Redux, React Hooks, and modern front-end workflows
- Familiarity with unit testing and debugging tools
- Excellent problem-solving skills and a keen attention to detail
- Familiarity with API testing tools like Postman or Swagger
- Understanding of basic DevOps processes and deployment pipelines
Need proactive techie who is interested to build BXI - Barter Exchange of India.
We are building an advanced, AI-driven multi-agent software system designed to revolutionize task automation and code generation. This is a futuristic AI platform capable of:
✅ Real-time self-coding based on tasks
✅ Autonomous multi-agent collaboration
✅ AI-powered decision-making
✅ Cross-platform compatibility (Desktop, Web, Mobile)
We are hiring a highly skilled **AI Engineer & Full-Stack Developer** based in India, with a strong background in AI/ML, multi-agent architecture, and scalable, production-grade software development.
### Responsibilities:
- Build and maintain a multi-agent AI system (AutoGPT, BabyAGI, MetaGPT concepts)
- Integrate large language models (GPT-4o, Claude, open-source LLMs)
- Develop full-stack components (Backend: Python, FastAPI/Flask, Frontend: React/Next.js)
- Work on real-time task execution pipelines
- Build cross-platform apps using Electron or Flutter
- Implement Redis, Vector databases, scalable APIs
- Guide the architecture of autonomous, self-coding AI systems
### Must-Have Skills:
- Python (advanced, AI applications)
- AI/ML experience, including multi-agent orchestration
- LLM integration knowledge
- Full-stack development: React or Next.js
- Redis, Vector Databases (e.g., Pinecone, FAISS)
- Real-time applications (websockets, event-driven)
- Cloud deployment (AWS, GCP)
### Good to Have:
- Experience with code-generation AI models (Codex, GPT-4o coding abilities)
- Microservices and secure system design
- Knowledge of AI for workflow automation and productivity tools
Join us to work on cutting-edge AI technology that builds the future of autonomous software.
Job description for Production Engineer
Production Engineer manages shifts, production supervisors and all operators &
ensures smooth running of the production process, organising & monitoring work-
flow.
Roles & Responsibilities:
Completes production plan by scheduling and assigning personnel;
accomplishing work results; establishing priorities; monitoring progress;
revising schedules; resolving problems; reporting results of the shift
production summaries;
Supervising the manufacturing processes, ensuring quality work is done in a
safe, efficient manner;
Diagnosing problems in the production line and providing solutions;
Ensures that all products are produced as per Customer's specifications;
Ensures targets and deadlines are met as per Work Orders;
Attending to minor breakdowns of machines;
To maintain all Company machines/equipment so as to obtain optimal
performance; evaluate new equipment and techniques;
Ensures all operators & contract staffs comply with health & safety
procedures;
Manage, develop, and motivate direct reporting employees;
Monitor, measure, and report on production-related process performance, and
general issues; update daily production reports;
Use Problem-solving and troubleshooting skills to ensure that all employees
can identify root causes and take fast corrective and preventive action to
resolve the problems at hand;
Keeping abreast of advancements in engineering and production, and sharing
knowledge with co-workers.
Identifying, documenting, and reporting unsafe practices.
To work closely with other production supervisors to ensure production
handovers are smooth & effective;
To provide on-the-job training for improving production efficiency & quality;
Maintain 5S standards to ensure a clean & safe workplace;
Coordinates with PPC, Engineering, Sales & Marketing, Purchase, Stores,
Logistics, Accounts;
Maintain records/reports as per ISO & IATF requirements;
Work non-traditional hours on weekends and holidays during exigencies;
Any other task assigned by management;
Reporting to AGM-Operations
Key Result Areas/KRAs (annual evaluation across entire Company) for
Production Supervisors:
To take full responsibility of the shift in terms of management of operators,
contract employees, production supervisors and achieving production targets;
To take full responsibility for the quality and product that is produced within
the shift in line with the quality systems, processes, and procedures;
To have an active role in the continuous improvement plan.
Key Performance Indicators/KPIs (monthly evaluation) for Production
Engineer:
1. On-time Delivery of WOs = % (Target: 98%)
2. Worst Point Photography (WPP)
3. Fixed Point Photography (FPP)
4. Labour Productivity = Units Produced/Man-hours used = ……Units per man-
hour
5. Production Charts
Company: Snaptics
Job title: SEO
Job type: Full time
Location: Hyderabad
Work schedule: 6 days (week end off)
Shift timings: 10:00am-6:30pm
Eligibility: Any degree
Experience: 2-4 years
Required skills: SEO on-page, off-page, Keyword research, GMB.
Responsibilities:
Develop, implement, and manage SEO strategies contributing to the company's growth.
Conduct extensive keyword analysis and define core SEO KPIs.
Optimize website content, landing pages, and paid search copy to improve organic rankings.
Work closely with the content team to produce high-quality content around relevant keywords.
Prepare and present regular reports to show the effectiveness of SEO strategies.
Apply SEO best practices to drive app downloads and user engagement.
Could you work with the product team to optimize for search and user experience?
Use SEO strategies to improve online reputation and brand presence.
Lead and mentor junior staff and ensure the team stays updated with the latest SEO algorithms and best practices.
Effectively manage the budget for SEO and related marketing activities.
Required Qualifications:
Bachelor's degree
Minimum 2+ years of experience in SEO.
Deep expertise in product marketing and app marketing.
Proven track record of successful SEO strategy and implementation.
Excellent knowledge of Google Analytics, Google Search Console, and other SEO tools.
Outstanding verbal and written communication skills.
Strong team leadership skills.
1. Eligibility Criterion is BCom, BBA, MBA, Mcom
2.A finance intern usually works under the supervision of the business services division
3.management and must follow the accounting or auditing process
4.To collect, understand, process, verify and report accounting related-information to his/her vertical head
5.Be given professional analytical and management support work assignments
Assistance may be required in the preparation of monthly or weekly financial reports
6.Develop and utilize spreadsheets, databases and other computer applications
Manage specialized information, reports, forms dealing with fees, billing, tracking of
projects etc
7.Enter information into the financial accounting system of the company
- Maintain all records like Vouchers, Receipts, Bills, and Payments.
- Bank Reconciliation, Payment Collection.
- Monthly GST and TDS Working.
- Reconciliation of Sundry Debtors & Creditors
- Payment follows up by telephonic & mailing
- Daily Stock maintains.
- Handling petty Cash Records.
- Maintain Sales Purchase Registers & Keep in Software properly
- Handling to Day-to-Day Accounting
- Prepare Salary Statement
- Finalization of Accounts, Statement of Accounts, Debtors Controls Accounts, Buffer Accounts
- Tally Erp.
empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership
The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions
• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials












