- A self-starter with prior experience leading UI design on a product team and great attention to detail.
- Gathering and evaluating user requirements, in collaboration with CTO and product team.
- Illustrating design ideas using storyboards, process flows and sitemaps.
- Designing graphic user interface elements, like menus, tabs and widgets.
- Identify and trouble shoot UX problems.
- You'll create functional and appealing features that will address our users needs and help us grow our customer base.
- 5+ years of proven experience as UX/UI designer with sound knowledge of wireframe tools
Shubham Vishwakarma
Full Stack Developer - Averlon
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Sales Engineer
Location: Ghatkopar
Department: Sales and Marketing
Salary range: Negotiable
Experience: 2 and above (Food and Beverages)
Qualification:
Diploma or Graduation in any Engineering field
Skills:
Business acumen
Excellent communication skills
Commercial awareness
Self-motivation
Negotiation skills
Networking skills & Relationship building
Ability to work independently.
Problem-solving skills
Ability to travel extensively.
Key Responsibility:
The Sales Engineer shall aim to maximize profits through the implementation strategies.
Analysing and investigating customer requirement, demand and competition
Devising and presenting ideas and strategies
Marketing activities like providing presentation and technical know-how to the probable end-
users
Follow-up enquires & monitoring customer satisfaction throughout business cycle.
Field work and should work on Targets.
Develop a thorough understanding of customer needs.
Monitor and report on sales performance and customer feedback.
Review and respond to customer inquiries and complaints.
Represent the company at trade fairs, exhibitions, and industry conferences to generate new
leads and enhance brand visibility.
Manage sales and customer service activities.
Figma
Adobe IllustratorRole & Responsibilities
We're looking for a Senior Visual Designer to own marketing design end-to-end at across the website, long-form content, brand promotions, events, sales collateral- decks, one pagers, social media, and everything in between — as we scale from 1 to 10. (work with marketers - PMM, FM, CM, GM, video designers and junior designers)
This is not a UX or Product Design role.
- Design systems: Build and evolve a scalable design system across the website, brand and marketing collaterals. Create reusable templates and component libraries that let the team execute at scale
- Website design: Own the end-to-end web design experience — collaborate with marketers, manage developer handoffs, and QA implementations for consistency and quality
- Product illustrations: Develop illustrations, flow diagrams, and guide motion assets (GIFs/animations) that make complex product concepts consumable
- Visual assets:
- Content & SEO: Assets that support organic content and repurposing
- Events: Print-ready collateral like backdrops, brochures, standees, swag
- ABM: Tailored assets for high-intent account-based campaigns.
- Socials and ads: Scroll-stopping creatives built to drive clicks and conversions across different channels
- Sales enablement: One-pagers, decks that help the sales team close
- Team and stakeholder management: You are comfortable working with marketers on different initiatives, managing design freelancers and external developers as needed
Ideal Candidate
- Strong Senior Visual Designer Profile (B2B SaaS / Marketing & Brand Design)
- Mandatory (Experience 1): Must have minimum 5+ years of experience in Visual Design / Brand Design / Marketing Design roles (not UI/UX focused)
- Mandatory (Experience 2): Must have minimum 2+ years of experience in B2B SaaS companies, preferably in startup environments (0→1 and/or 1→100 journey) with exposure to building and scaling brand/design systems
- Mandatory (Experience 3): Must have hands-on experience designing marketing and brand collaterals end-to-end including website assets, social media creatives, sales decks, one-pagers, event collaterals, and campaign creatives
- Mandatory (Skill 1): Strong expertise in typography, layout, color theory, composition, spacing, and visual hierarchy with high attention to detail and strong design taste
- Mandatory (Skill 2): Proven ability to create high-quality brand-led creatives across digital (social, ads, SEO content) and offline (events, print, brochures, swag) channels
- Mandatory (Skill 3): Must have experience in end-to-end website design, including working with marketers and developers, handling handoffs, and ensuring QA for final output
- Mandatory (Skill 5): Ability to create product illustrations, diagrams, and visual storytelling assets (including basic motion/GIFs) to simplify complex concepts
- Mandatory (Skill 6): Strong experience working with cross-functional marketing teams (PMM, content, growth, brand) and managing multiple stakeholders/projects
- Mandatory (Tools): Proficiency in Figma, Adobe Creative Suite (Photoshop, Illustrator, InDesign); basic understanding of motion tools is a plus
- Mandatory (Portfolio): Portfolio must showcase B2B SaaS design work, including marketing collaterals, website design, brand assets, and campaigns.
- Mandatory (Company): Product / B2B SaaS companies
PHPJob Description:
We are looking for a skilled and experienced Senior Magento Developer to join our dynamic team. The ideal candidate should have a strong background in Magento development, particularly in backend customizations, plugin integrations, and API integrations. You will work closely with clients and internal teams to deliver high-quality, customized Magento solutions.
Key Responsibilities:
- Magento Backend Customization: Design and implement custom features, modules, and extensions based on project needs.
- Plugin Integration & Customization: Integrate and customize third-party plugins to meet specific client requirements.
- REST API Development: Develop, customize, and maintain RESTful APIs for various integrations.
- 3rd Party Integrations: Implement seamless integrations with third-party platforms such as ERP, CRM, payment gateways, and other systems.
- Frontend Development: Work on Magento’s frontend including theme development, design adjustments, and user interface enhancements.
- Theme Customization: Customize Magento themes to deliver high-quality, responsive web designs.
- Checkout Customizations: Develop and customize Magento checkout workflows to improve user experience and cater to specific client needs.
- WordPress Installation & Configuration: Set up, configure, and maintain WordPress installations as per project requirements.
- WordPress Customization: Customize WordPress themes, plugins, and integrations to suit client specifications.
- 3rd Party Integrations on WordPress: Implement third-party services such as payment gateways, CRMs, and other integrations within WordPress.
- Client Communication: Engage directly with clients to understand their requirements, provide technical guidance, and offer solutions.
- Collaboration: Work closely with project managers, designers, and other developers to ensure timely and efficient project delivery.
Skills and Qualifications:
- 5-7 years of hands-on experience in Magento development, including both Magento 1 and Magento 2 platforms.
- Strong knowledge of PHP, HTML, CSS, JavaScript, and MySQL.
- Proven experience with backend customizations and plugin integrations.
- Expertise in building and consuming REST APIs.
- Experience in 3rd party integrations (ERP, CRM, Payment Gateways, etc.).
- Competency in frontend development and theme customizations.
- Solid understanding of Magento checkout process and its customizations.
- WordPress installation, configuration, and customization expertise.
- Strong communication skills with the ability to interact with clients and stakeholders.
- Ability to work independently, manage time efficiently, and demonstrate initiative as a self-starter.
- Must be prompt, detail-oriented, and committed to delivering quality solutions on time.
Bonus Skills:
- Magento certification(s).
- Experience with Magento Commerce/Cloud editions.
- Knowledge of Docker, Git, and other modern development tools.
Why Join Us?
- Opportunity to work on exciting projects with diverse clients across different industries.
- Competitive salary and benefits package.
- Collaborative and innovative work environment.
- Opportunities for career growth and professional development.
If you are a passionate Magento developer with a proven track record of delivering custom solutions, we'd love to hear from you!
About the Role
Kim.cc is building the AI-powered BPO of the future. As a Prompt Engineer, you will design,
refine, and optimize prompt systems that power our LLM-driven features—across agent
assistance, QA automation, ticket summarization, customer insights, routing, and voice/chat
workflows.
You will work at the intersection of language, product logic, and AI behaviour, shaping
how our AI systems reason, respond, and perform in real-world customer support
environments.
Key Responsibilities
Prompt Design & Optimization
● Craft high-quality prompts, instructions, workflows, and agent behaviours for
LLM-based features.
● Build, iterate, and optimize prompts for reliability, accuracy, tone, safety, and cost.
● Develop evaluation frameworks to test performance across edge cases, failure
modes, and regressions to ensure robustness.
LLM System Development
● Work closely with AI engineers to integrate prompts into chains, RAG systems, or
hybrid models.
● Create prompt-based pipelines for tasks like:
○ Chat/voice summarization
○ Classification & tagging
○ QA automation
○ Disposition prediction
○ Agent-assist suggestions
○ Multi-step reasoning & workflows
Data & Evaluation
● Analyze call/chat transcripts to identify patterns and refine prompt logic.
● Run A/B tests, prompt benchmarks, and track quality metrics (accuracy,
hallucinations, latency).
● Document prompt changes, rationale, and performance deltas.
Cross-functional Collaboration
● Partner with product, ops, and engineering teams to understand workflows and
problem statements.
● Translate business requirements into robust prompt systems.
● Build internal frameworks, libraries, and best practices for prompt engineering.
What You Should Bring
● Strong command over language, reasoning, and structured communication.
● Experience working with LLMs, prompt engineering, or NLP-based products.
● Familiarity with OpenAI APIs, Anthropic, HuggingFace, LangChain, or similar
ecosystems.
● Analytical mindset with the ability to test, measure, and improve AI outputs.
● Ability to think through real-world workflows and edge cases.
● Comfort working in a fast-paced startup environment.
Nice to Have
● Experience with Python for prototyping or evaluation automation.
● Understanding of customer support workflows or BPO operations.
● Exposure to RAG, embeddings, or LLM fine-tuning.
● Prior work in conversational AI, chatbots, or dialogue design.
Roles and Responsibilities
- Have to attend Walk in Customers and convert into sales.
- Have to manage ground level team
- Submit timely reports
Requirements-
For Female Candidates:
- Good Communication
- Should be presentable
- Language proficiency should be Hindi and English both
For Male Candidates:
- Must have good communication
- Must be presentable
- Must have driving license
- Must be able to drive both automatic and manual cars
.NET
KubernetesJob Roles & Responsiblities:
- 4+ years of experience in .NET Core, C#, EF Core, SQL Server, Rest API, MVC, Webform
- Good to have exposure in Azure & Azure DevOps
- Strong Experience in Micro Services Architecture.
- Cloud Azure
- Azure Kubernetes
- Knowledge of Docker is advantageous
- SOLID Principles
- Good to have exp in SonarCloud
- Should have team leading experience
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with 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 knowledge 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 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.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Java|
Essential Skills |
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Role Description |
A fully hands on technical role where the SDeT is expected to work in a cross functional squad including Product Mgmt, Software Engineers, SDeTs, OPS/SRE and be responsible for understanding the feature requirements, understanding the platform architecture, functional flows, determine what test cases are relevant and implement the API/Service/UI automation.
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Company Profile:
Easebuzz is a payment solutions (fintech organisation) company which enables online merchants to accept, process and disburse payments through developer friendly APIs. We are focusing on building plug n play products including the payment infrastructure to solve complete business problems. Definitely a wonderful place where all the actions related to payments, lending, subscription, eKYC is happening at the same time.
We have been consistently profitable and are constantly developing new innovative products, as a result, we are able to grow 4x over the past year alone. We are well capitalised and have recently closed a fundraise of $4M in March, 2021 from prominent VC firms and angel investors. The company is based out of Pune and has a total strength of 180 employees. Easebuzz’s corporate culture is tied into the vision of building a workplace which breeds open communication and minimal bureaucracy. An equal opportunity employer, we welcome and encourage diversity in the workplace. One thing you can be sure of is that you will be surrounded by colleagues who are committed to helping each other grow.
Easebuzz Pvt. Ltd. has its presence in Pune, Bangalore, Gurugram.
Salary: As per company standards.
Designation: Data Engineering
Location: Pune
Experience with ETL, Data Modeling, and Data Architecture
Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties
- Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue.
Experience with AWS cloud data lake for development of real-time or near real-time use cases
Experience with messaging systems such as Kafka/Kinesis for real time data ingestion and processing
Build data pipeline frameworks to automate high-volume and real-time data delivery
Create prototypes and proof-of-concepts for iterative development.
Experience with NoSQL databases, such as DynamoDB, MongoDB etc
Create and maintain optimal data pipeline architecture,
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 Executive, 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.
Evangelize a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow
Build and enhance data pipeline architecture by designing and implementing data ingestion solutions.
Employment Type
Full-time
Java
Spring Boot
Amazon Web Services (AWS)Fullstack (Java with AngularJS or Node JS )
Primary Skill: JAVA,J2EE,AgularJS,WebServices
Secondary Skill: Post gres, Angual/React, AWS/GCP, Docker, API, Unix, Node JS, AWS, Docker, quartz, Shell script
Experience: 3 – 7 years
Notice: Immediate to 15 Days Max
Job Description:
Strong organizational and coding skills. Proficiency with fundamental front-end languages such as HTML, CSS and JavaScript. Hands-on experience and strong knowledge in
JavaScript frameworks such as Angular JS/React JS/Node JS and good coding skills in server-side development – Spring Framework, Spring Boot (latest 2.3.1), Core Java (Java 8 & above). Preferable skills in Microservices, Web services, Rest API and design patterns. Hands-on experience in Unix shell script. DevOps – Docker, Any Cloud Platform (AWS/GCP). Strong Integration knowledge in Java preferably in SAP interfacing - Good to have (for eg https://github.com/SAP/cloud-rest-api-client). Familiarity with database technology such as Hibernate/JPA (ORM), PostgreSQL. Good knowledge of designing and developing APIs. Good problem-solving skills. Excellent verbal communication skills.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon