About RARA NOW :
-
RaRa Now is revolutionizing instant delivery for e-commerce in Indonesia through data-driven logistics.
-
RaRa Now is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimization technology. RaRa makes it possible for anyone, anywhere to get same-day delivery in Indonesia. While others are focusing on - one-to-one- deliveries, the company has developed proprietary, real-time batching tech to do - many-to-many- deliveries within a few hours. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan, and many more.
-
We are a distributed team with the company headquartered in Singapore, core operations in Indonesia, and a technology team based out of India.
Future of eCommerce Logistics :
-
Data driven logistics company that is bringing in same-day delivery revolution in Indonesia
-
Revolutionizing delivery as an experience
-
Empowering D2C Sellers with logistics as the core technology
About the Role :
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Prior experience on working on Big Query, Redshift or other data warehouses
Shubham Vishwakarma
Full Stack Developer - Averlon
About RaRa Now
About
RaRa Now revolutionizing Instant and Same-day delivery through tech-innovation for the safest, fastest, and most affordable delivery service.
Company social profiles
Similar jobs
About MyOperator
MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement
Role Summary
We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.
This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.
Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.
Responsibilities
Requirement Discovery & Stakeholder Interaction
- Join customer calls alongside Sales and Revenue teams.
- Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
- Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
- Act as the AI subject-matter expert during client discussions.
Use Case & Solution Documentation
- Convert discussions into clear, structured use case documents, including:
- Problem statement & goals.
- Current vs. proposed conversational flows.
- Chatbot conversation logic, integrations, and dependencies.
- Assumptions, limitations, and success criteria.
Customer Delivery Ownership
Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.
Prompt Engineering & Conversation Design
Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."
Testing, Debugging & Iteration
Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.
Integrations & Technical Coordination
Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.
What Success Looks Like
- Customer bots go live quickly and show high containment + high task completion with low escalation.
- You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
- Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.
Requirements (Must Have)
- 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
- Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
- Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
- Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
- Willingness to be front deployed (customer calls/visits as needed).
Good to Have (Nice to Have)
- Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects.
- Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
- Prior SaaS onboarding/delivery experience in mid-market or enterprises.
Working Style & Traits We Value
- High agency: you don’t wait for perfect specs—you create clarity and ship.
- Customer empathy + engineering discipline.
- Strong bias for iteration: deploy → learn → improve.
- Calm under ambiguity (real customer environments are chaotic by default).
CC++Skills:
Full Stack Developer
Developed Gaming Application
Developed 3D Gaming Application
Basic knowledge of C, C++, MySQL, Mongo db
Rrayze is a Business Consulting Company and has a presence in 8 countries (India, Dubai, Singapore, Malaysia, Canada, USA, Netherland, Germany and Australia) and 13 states across India. We also have associate tie-ups in the rest of the states. We provide a full range of services with a team of 450+.
Rrayze is into multiple Business segment like Finance, HR Outsourcing, Recruitment, Start-up funding and Compliances etc.
This position is with our Recruitment segment. For more detail, visit our website http://www.rrayze.com/">www.rrayze.com
Position: Business Development Manager
Location –Golf-Course Extension, Gurgaon (On-site)
CTC – 3-5 LPA
- Job Description
- Generating Enquiries & Closing the Transactions for recruitment and business consulting
- Handling Presales: Responsible for generating leads through market research/calling/Online data for hiring requirement
- Regularly be in touch with potential clients to develop synergy
- Preparing & Sharing Presentations/Proposals with Potential Clients as per their requirement
- Elaborate the terms of hiring
- Guide the activities and operations of sourcing team to ensure revenue goals are achieved.
- Maintaining Database of potential Clients
- Desired Candidate:
- MBA
- Interest in B2B/Corporate Sales
- 2-3 years of experience in B2B Sales
- Candidate from Recruitment industry will be preferable
- Good hands on MS Office including Powerpoint, Excel & Word
- Proactive, Street Smart
- Ideally should be from Gurgaon
- Key Skills
- Great Communication Skills
- Good EQ
- Proactive Business Development Professional
- Good hands on MS Excel, Powerpoint
- Good knowledge of using LINKEDIN & Tools
NodeJS (Node.js)
ExpressTHIS IS PART-TIME JOB (4hr/day)
Who Are We:
we are a marketplace where small & mid Cafe and Restaurant owners can connect with a wide range of suppliers through our platform.
To simplify, a coffee shop owner can order from multiple suppliers using our system and receive orders with one delivery.
Why US:
- Grow with your best companions
- Flexible working hours
- Competitive compensation and benefits
We have 2 backend-projects
- Orders
- Agents
Skills Required:
- 2+ years of experience in Nodejs development
- proactive and an independent problem solver
Responsibilities:
- You will write reusable, testable, and efficient code
- Clean our code
- You will look to optimise applications for performance and scalability
- Deployment of Apps
- collaborate with the Team
Good to have
- Angular.js experience
- DevOps experience
We will extend the contract based on your performance.
Experience: 2 to 10 Years
Job Location: Noida
Joining time: Immediate / 15 Days
Skills Needed
- Hands-on extensive Salesforce
experience - Ability to Perform configuration, customization, integration and support of Salesforce.com
- Hands-on Experience in customizing using APEX, Triggers, Batch Apex, Visualforce, etc
- Understanding of the Salesforce.com data model
- Hands-on Experience in designing of Custom Objects, Custom Fields, Page Layouts, Workflows, Record types, Validation Rules, Workflow Rules, Approval Process, Sandbox Refreshments, Apex Data Loader, etc.
- Must-Have hands-on experience on Deployments using Change set, , Managing release dependencies across multiple projects
- Understanding the release management and software development life cycle
- Should be able to review code of development team members
- Have experience to work in multiple Salesforce ORG/
environment - Strong communication skills to ask relevant questions in client/dev team meeting etc. & able to work around release related dependencies across projects
- Comfortable in client calls including executive sponsors and stakeholders
- Ability to convert customer requirements to technical specifications
- Knowledge of Salesforce recommended best practices around design and development.
Good to Have
- Experience in lightning implementation, LWC
- Eclipse IDE and ANT Deployment tool
- Experience in working with HTML, CSS, Ajax, JavaScript, and jQuery
- Experience with Subversion, Git or other SCM systems will be plus
- Experience on CPQ, Billing will be plus
- Salesforce certifications and Trailhead badges will be plus
- Good to have experience in Release Management tools like ANT, GitHub, Jenkins, Copado or similar.
NodeJS (Node.js)Designation: Backend Developer
Location: Mumbai (Currently Remote)
Principal Accountabilities:
- Develop, Enhance, and Modify Applications for a Global Market Environment.
- Design, Code, Test, Debug, and Document programs for corporate systems architecture.
- Work closely with Business stakeholders to define requirements for system applications
Work Dimensions:
- API integration, Application deployment, Test Driven Development & Agile methodologies
- Database designing ; (Knowledge of NoSQL databases is a plus).
- Familiarity in Unix/Linux development environments & tools including scripting.
- Designing system architecture for solving complex problems with a sound understanding of object-oriented programming and design patterns.
Work Context:
- A fast moving, high growth, entrepreneurial environment.
- Need to work on Git and work in a highly collaborative environment.
- Timely reporting is required.
- Must typically have in-depth knowledge of development tools and languages
- Ensure full legal and ethical compliance and conduct of business at all times and under all circumstances
- Attention to detail needed to maintain a global standard of work output
- Supervise, mentor, coach a small team of associates on a day to day basis for better management of their performance.
Role requirements:
- 2 to 6 years of experience in the IT industry
- 2+ years of experience in NodeJS
- Graduate degree (B.Tech/ BSc. IT) in IT/Engineering/Computer Science
- Strong problem-solving abilities
- Good communication skills.
- A good team player
Machine Learning (ML)
Deep LearningJob Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
● Inbound calling for customer service.
● Identify and assess customers’ needs to achieve satisfaction.
● Build sustainable relationships and trust with customer accounts through open and interactive
communication.
● Provide accurate, valid and complete information by using the right methods/tools.
● Handle customer complaints, provide appropriate solutions and alternatives within the time limits;
follow up to ensure resolution.
● Keep records of customer interactions, process customer accounts.
● Follow communication procedures, guidelines and policies.
● Take the extra mile to engage customers.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon