TensorIoT Software Services Private Limited, India
https://www.tensoriot.comAbout
About TensorIoT
TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.
TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!
TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Tech stack
Amazon Web Services (AWS)
Machine Learning (ML)Company video
Candid answers by the company
Simply put, we connect devices and make them smarter. We’ve helped over 150 clients expand the possible through intelligent innovation, and we're just getting started.
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Jobs at TensorIoT Software Services Private Limited, India
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAmazon Web Services (AWS)
NodeJS (Node.js)About TensorIoT
TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling. complex business problems every day and developing solutions to drive customer success.
TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!
TensorIoT is proud to be an equal opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Job description
As a Mid-Level Python Developer, you will:
- Analyze user needs and develop software solutions.
- Work with project managers and product owners to meet specification needs.
- Recommend software upgrades to optimize operational efficiency.
- Deliver scalable and responsive software using TypeScript and Python.
- Collaborate with other developers to design and optimize code.
- Create flowcharts and user guides for new and existing programs.
- Document all programming tasks and procedures.
- Perform routine software maintenance.
- Deploy and maintain CI/CD pipelines.
- Develop and maintain data pipelines. This includes scaling the pipeline to accommodate anticipated volume and complexity.
- Collaborate with external clients and internal team members to meet product deadlines.
We're looking for someone who has:
- Experience with AWS Services(must)
- A bachelor’s degree in computer science, Engineering, or related fields
- 4 - 8 years of experience in software development, computer engineering, or other related fields
- Expert-level experience with Python and Node.JS
- Familiarity and comfort with REST APIs
- A deadline and detail-oriented mindframe
- Strong analytical and critical thinking skills
- Familiarity with DevOps tools and best practices
- Experience developing scalable data processing systems
Bonus points for someone with:
- Experience with IoT, ML, AI, or VR
- Amazon Web Services (AWS) certification(s) (preferred)
- Experience with microcomputers and microcontrollers
- Experience with the following DevOps services: AWS
- CodePipeline, CodeBuild or CodeCommit
- Experience with the following Data Engineering services: AWS Lake Formation, Glue, Redshift, EMR, or QuickSight.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
Django
FlaskThe TensorIoT Solutions Architect team partners with our customers and AWS to design and build some of the world's most modern cloud architectures and solutions. TensorIoT Solutions Architects collaborate with each other and their respective Sales counterparts to address customer challenges, oftentimes working together to formulate a solution for a given challenge.
A TensorIoT Solutions Architect assists the Customer with bridging the gap between business goals and technology solutions. As the customer’s trusted technical advocate, Solutions Architects not only helps organizations small and large understand best practices around advanced machine learning and cloud-based solutions, but also provides insight into areas such as migrations, modernizing existing infrastructure or applications, and building new and innovative solutions using cutting edge services.
As a Solutions Architect, you will have the unique opportunity to assist customers in shaping the future of their business. In order to accomplish this, you will be in constant communication with TensorIoT Delivery practice managers and industry and area-of-depth experts to help shape and execute the strategy to realize the customer’s overarching vision.
The TensorIoT Solutions Architect team is committed to ensuring harmony of both work and life. We do this by allowing for autonomy in your day-to-day activities, focusing more on the solutions and outcomes driven by customer obsession to steer your work day.
We’re looking for someone who has:
● 2+ years of design, implementation, or consulting experience in AWS application or infrastructure
● 4+ years within specific technology domain areas (Gen AI, ML/AI, IoT)
● Technical degree in Computer Science or related field or equivalent experience
● 4+ years developing technology solutions in the cloud
● At least 1 AWS Professional or Specialty certification
● 2+ Years of customer-facing experience in a pre-sales engineering role
● Excellent written and verbal communication skills to articulate findings and recommendations to stakeholders.
● The ability to create and present detailed reports and presentations.
● Strong interpersonal skills to work effectively with different teams and stakeholders.
● Time management and organizational skills to handle multiple projects simultaneously.
● Adaptability and willingness to learn new tools and techniques as needed.
What we offer:
● Flexible work hours and the ability to work from home
About TensorIoT
TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.
TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google, and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!
TensorIoT is proud to be an equal opportunity employer. This means that we are committed to diversity and inclusion, and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonDjangoFlaskSA Role Summary:
The Solutions Architect is responsible for designing and leading the implementation of technology solutions that align with the organization's business goals and technology standards. This role involves working closely with both technical teams and business stakeholders to translate business requirements into robust, scalable, and secure technology solutions.
Key Responsibilities:
Solution Design and Architecture:
● Develop and maintain a comprehensive understanding of the business processes and technology landscape.
● Design holistic technology solutions that address business challenges and opportunities, integrating with existing systems and technologies where necessary.
● Define and document architectural designs, including system components, functionalities, interfaces, and data flows.
● Taking into account all pillars of the Well-Architected Framework (WAF) on AWS - including Scalability, Resiliency
● Identifying reusable components in a project and working with the Backend team to generalize those components.
● Amazon Web Services (AWS) Certification (Preferred)
Technical Leadership and Guidance:
● Provide technical leadership and guidance to development teams throughout the implementation phase, ensuring adherence to architectural principles and best practices.
● Evaluate and recommend technologies and tools for the effective development and management of solutions.
● Ensure the implemented solution is in compliance with the designed architecture. Deviation from the architecture must be evaluated and agreed upon.
Stakeholder Engagement and Communication:
● Collaborate with business stakeholders to understand their requirements and translate them into technical specifications.
● Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
● Act as a liaison between technical teams and business units, facilitating understanding and alignment on project objectives and deliverables.
Project and Risk Management:
● Participate in project planning activities, including resource allocation, timeline estimation, and risk assessment.
● Identify potential technical and project risks and develop mitigation strategies.
Quality Assurance and Best Practices:
● Ensure solutions are designed and implemented to high-quality standards, including performance, security, and scalability considerations.
● Advocate for and ensure adherence to software development best practices, including code reviews, continuous integration, and automated testing.
Continuous Learning and Improvement:
● Stay abreast of emerging technologies and industry trends, evaluating their applicability to organizational needs.
● Promote a culture of continuous improvement, encouraging innovation and efficiency improvements in technology practices.
About TensorIoT
TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.
TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!
TensorIoT is proud to be an equal opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)
DockerAbout TensorIoT
- AWS Advanced Consulting Partner (for ML and GenAI solutions)
- Pioneers in IoT and Generative AI products.
- Committed to diversity and inclusion in our teams.
TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.
TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!
TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Job Description
At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.
What are the kinds of tasks Data Scientists do at TensorIoT?
As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client.
Minimum Requirements:
- Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.
- Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
- Hands-on experience in MLOps (model deployment, maintenance)
- Hands-on experience with Docker.
- Clear concepts of the following:
- - Supervised Learning, Unsupervised Learning, Reinforcement Learning
- - Statistical Modelling, Deep Learning
- - Interpretable Machine Learning
- Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
- Scientific & Analytical mindset, proactive learning, adaptability to changes.
- Strong interpersonal and language skills in English, to communicate within the team and with the clients.
Preferred Qualifications:
- PhD in the domain of Data Science / Machine Learning
- M.Sc | M.Tech in the domain of Computer Science / Machine Learning
- Some experience in creating cloud-native technologies, and microservices design.
- Published scientific papers in the relevant domain of work.
CV Tips:
Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following:
- Focus:
- More focus on technical skills relevant to the job description.
- Less or no focus on your roles and responsibilities as a manager, team lead, etc.
- Less or no focus on the design aspect of the document.
- Regarding the projects you completed in your previous companies,
- Mention the problem statement very briefly.
- Your role and responsibilities in that project.
- Technologies & tools used in the project.
- Always good to mention (if relevant):
- Scientific papers published, Master Thesis, Bachelor Thesis.
- Github link, relevant blog articles.
- Link to LinkedIn profile.
- Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.
We appreciate your interest in the company and look forward to your application.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)
Data ScienceTensorIoT:
- AWS Advanced Consulting Partner (for ML and GenAI solutions)
- Pioneers in IoT and Generative AI products.
- Committed to diversity and inclusion in our teams.
TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.
The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life.
TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Job Description
At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews.
What are the kinds of tasks Data Scientists do at TensorIoT?
As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client.
Preferred Requirements:
- PhD in the domain of Data Science / Machine Learning
- M.Sc | M.Tech in the domain of Computer Science / Machine Learning
- Hands-on experience in MLOps (model deployment, maintenance).
- Some experience working with Generative AI (LLM).
- Some experience in creating cloud-native technologies, and microservices design.
- Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
- Hands-on experience with Docker.
Minimum Requirements:
- Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience.
- Clear concepts of the following:
- - Supervised Learning, Unsupervised Learning, Reinforcement Learning
- - Statistical Modelling, Deep Learning
- - Interpretable Machine Learning
- - Linear Algebra
- Scientific & Analytical mindset, proactive learning, adaptability to changes.
- Strong interpersonal and language skills in English, to communicate within the team and with the clients.
CV Tips:
Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following:
- Focus:
- More focus on technical skills relevant to the job description.
- Less or no focus on your roles and responsibilities as a manager, team lead, etc.
- Less or no focus on the design aspect of the document.
- Regarding the projects you completed in your previous companies,
- Mention the problem statement very briefly.
- Your role and responsibilities in that project.
- Technologies & tools used in the project.
- Always good to mention (if relevant):
- Scientific papers published, Master Thesis, Bachelor Thesis.
- Github link, relevant blog articles.
- Link to LinkedIn profile.
- Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.
We appreciate your interest in the company and look forward to your application.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Javascript
React Native
React.js
Redux/Flux Ensuring availability, performance, security, and scalability of AWS production systems.
Management of creation, release, and configuration of production systems.
Evaluation of new technology alternatives and vendor products.
System troubleshooting and problem resolution across various application domains and platforms.
Pre-production acceptance testing for quality assurance.
Provision of critical system security by leveraging best practices and prolific cloud security solutions.
Providing recommendations for architecture and process improvements.
Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
Designing, maintenance and management of tools for automation of different operational
Train/mentor junior resources in AWS DevOps
Document and maintain all platforms, CI/CD pipelines and other relevant integrations
Research and improvise current implementations of DevOps platforms for continual improvement
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonDjangoFlaskAmazon Web Services (AWS)- Must have experience with Amazon Web Services (AWS)
- Experience with Python/Node.JS/Typescript
- At least 2+ years as back-end software developer
- A deep understanding of the benefits of the Microservice and serverless paradigms
- Prepared technical documentation, and understand why it’s important
- Understanding of database principals: SQL and NoSQL
- Collaboration and communication skills (you’ll be working with clients and internal teams)
- An understanding of programming fundamentals (OOP, data structures, algorithms)
- Familiarity and comfort with REST API, Postman
- The ability to work independently or within a team structure.
- A “lead by example” attitude, and motivation to deliver work you’re proud of
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonDjangoFlaskAmazon Web Services (AWS)- Must have experience with Amazon Web Services (AWS)
- Experience with Python/Node.JS/Typescript
- At least 2+ years as back-end software developer
- A deep understanding of the benefits of the Microservice and serverless paradigms
- Prepared technical documentation, and understand why it’s important
- Understanding of database principals: SQL and NoSQL
- Collaboration and communication skills (you’ll be working with clients and internal teams)
- An understanding of programming fundamentals (OOP, data structures, algorithms)
- Familiarity and comfort with REST API, Postman
- The ability to work independently or within a team structure.
- A “lead by example” attitude, and motivation to deliver work you’re proud of
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
React.jsJavascriptAs a Mid Level Front-End Developer, you will:
Create well-designed, documented, and tested front end solutions using modern JavaScript frameworks, such as React and Redux, CSS-in-JS, Styled Components, etc.
Collaborate with clients, project managers, UX designers, and other developers to gain a thorough understanding of project requirements within agreed-upon scope and architecture designs
Translate wireframes into fully functional user interfaces and proactively address edge case scenarios
Collaborate with back-end developers to design REST APIs and request/response schemas
Perform code reviews with constructive feedback
Promote clean code, best practices, and consistent design patterns across the team
Write infrastructure as code and automated deployment scripts for customer delivery
Provide development estimates from granular tasks to comprehensive projects/applications
Lead and present technical discussions to clients, including knowledge transfers
Take on additional responsibilities over time and become a key contributor for scaling team size
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About the company
We are Kraftshala. We are an online skilling institution committed to playing the long game of building a transformative educational experience for the masses. We call this ‘Scaling with Soul’.
Scaling with Soul, to us, means we always prioritise student outcomes– specifically our Placement Rate (percentage of students placed)- over other metrics, such as number of enrolments or company valuation in the coming year.
This is, of course, easier said than done. There are painful choices to be made at every stage, from admissions to training to placements, that wouldn’t have been needed were we willing to give up on either of high quality or scale.
But in the long run, we believe that our obsession over these student outcomes will earn Kraftshala the trust of Indian students, their families, recruiters and the broader ecosystem.
That’s why we make each of our Placement Reports public, capturing how many students are placed in each batch, in what companies, at what salaries etc.
We don’t need to. None of our competitors do (though we’d be happy to be proven wrong and have more educators join us!). Simply put, we have tasted the benefits of an education model grounded in high quality paired with the transparency of student outcomes and now cannot imagine doing it any other way.
We are not the largest in terms of enrollments. Nowhere close, actually. Not yet.
However, we are proud to be one of the largest, if not the largest already, in terms of actual, verifiable placements.
And in terms of Placement Rate, the metric that matters most to us, we are the absolute best in edtech. In the last 2 years, we have placed more than 1500+ students with a Placement Rate of 94% (and improving).
This is our long game- to Scale with Soul. We invite you to join us for the play.
Funding:
Kraftshala is backed by number of eminent investors, including
- Phanindra Sama and Sudhakar Pasupunuri, co-founders at Redbus and early investors in unicorns like Unacademy
- Amit Kumar Agarwal, Saurabh Garg and Akhil Gupta, co-founders at Nobroker.com (the world’s largest NoBrokerage Property Site and India’s first realty startup unicorn)
- Sujayathi Ali, Co-founder at ShopUp and Voonik
- Doreswamy Nandkishore (Former Fortune 100 CEO, Head of Asia, Oceania, Africa for Nestlé S.A. and Professor, ISB)
- Pallav Jain and Sarfaraz Khimani (co-CEOs of Performics, India's largest SEO/ performance marketing agencies)
What do we value (the Kraftshala Kode):
Like all good companies, we value integrity, excellence, respect, inclusion, and collaboration. Our team’s distinctiveness comes from the following:
- We seek a user-centric, value-additive mindset. People who start with the user and work backward, and take every opportunity to add value to their customers/ partners fit right in.
- We believe speed matters enormously in business. We value people who have a bias for action and are willing to take calculated risks in the face of uncertainty.
- We value problem-solving skills. We look at problems objectively, solve for root causes, make decisions for long-term good instead of short-term gain, and don’t let processes get in the way of value addition.
- We look for learning agility. We are a team of learners who like to read, talk to experts, and seek critical feedback to be better today than we were yesterday.
- We respect ambition & courage to take on large goals. Self-starters who demonstrate high ownership strengthen the backbone of our team.
- We expect consistency and reliability. Predictability just makes everyone’s life a lot smoother.
- We like people who are real and open in communication, while still being empathetic.
- We are practical optimists. Our team strongly believes in a better future & we enjoy playing our part to make that future a reality.
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Who we are
We are Software Craftspeople. We are proud of the way we work and the code we write. We embrace and are evangelists of eXtreme Programming practices. We heavily believe in being a DevOps organization, where developers own the entire release cycle and thus own quality. And most importantly, we never stop learning!
We work with product organizations to help them scale or modernize their legacy technology solutions. We work with startups to help them operationalize their idea efficiently. We work with large established institutions to help them create internal applications to automate manual opperations and achieve scale.
We design software, design the team a well as the organizational strategy required to successfully release robust and scalable products. Incubyte strives to find people who are passionate about coding, learning and growing along with us. We work with a limited number of clients at a time on dedicated, long term commitments with an aim to bringing a product mindset into services. More on our website: https://www.incubyte.co/
Join our team! We’re always looking for like minded people!
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We are a product engineering company that empowers other startups and enterprises by building simple and elegant software solutions. Through our expertise in the domains of AI and Enterprise Applications, we have helped brands such as Unilever, IndiaMART, GreytHR, Fyle, Skylark Drones, etc to craft world-class products and improve their business. We are churning out amazing software for our clients located across the globe from our headquarters in Bengaluru.
Codemonk is on a mission to transform the way industries work by leveraging the power of AI, Blockchain and IoT. There is something special when you know that every line of code that you write impacts thousands of human lives!
By joining us you can expect newness and challenges every day. As a member of the team, you will be part of shaping the company's future fuelling the growth and defining the culture.
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Meltwater is a SaaS-based global product company specializing in media monitoring, social media intelligence, and consumer insights. They were publicly listed in Norway in 2020.
At Meltwater, we believe that when you have the right people in the right working environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to analyze over a billion pieces of data each day and make better business decisions.
Our award-winning culture is our north star and drives everything we do – from striving to create an environment where all employees do their best work, to delivering customer value by continuously innovating our products — and making sure to celebrate our successes and have fun along the way.
We’re proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to reach your goals.
So, in a nutshell, that's Meltwater. We love working here, and we think you will too.
Why Meltwater?
- A supportive team to motivate you to new heights. At Meltwater, people care about people. From leadership to recent grads, we care deeply about each other and know that we can go farther together.
- An award-winning culture where we respect one another, celebrate each other's wins, and strive to achieve our goals and grow as a team every day. We also make time for having fun, prioritizing health and well-being, and giving 100% to life outside of work.
- Exciting career opportunities to gain world-class training, have an impact from the get-go, take your career trajectory in your own hands, and work with some of the world’s biggest brands.
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About the company
Robylon AI – Agentic Automation for Scalable Customer Support and Business Workflows
Robylon AI is a next-generation agentic AI platform that empowers businesses to automate over 90% of their customer queries and operational workflows across key communication channels; including chat, email, voice, and ticketing; while maintaining 99% accuracy from day one. Designed for scale, speed, and adaptability, Robylon combines the intelligence of large language models with the robustness of human-in-the-loop oversight to deliver enterprise-grade automation without requiring an in-house AI team.
Unlike traditional bots, Robylon operates as an agentic AI worker, meaning it can understand user intent, trigger actions across platforms, adapt to product updates, and continuously learn with minimal intervention. The system is plug-and-play, allowing deployment within minutes and integrations with existing tools and systems. Businesses can automate complex, multi-stage tasks and respond to customers in natural language, across multiple languages, and without scripting every possible input.
One of Robylon’s key differentiators is its transparent pay-per-resolution model. Instead of paying for seats or vague automation tiers, companies only pay for successful outcomes; making ROI instantly measurable and aligning cost with value. With this model, companies typically reduce support costs by 30% or more, while freeing up internal teams from repetitive, low-value tasks.
Key features include:
Agentic AI Workers that mirror human workflows
No-code automation builder for fast task recording and deployment
Multichannel support (chat, email, voice, tickets)
Scheduler and bulk action tools to manage high volumes efficiently
Actionable analytics for continuous optimization
Robylon is ideal for customer support teams, product-led growth companies, operations, HR, and marketing teams looking to scale their services without scaling headcount. As AI becomes central to enterprise growth, Robylon positions itself as a mission-critical tool for forward-thinking teams that want to enhance productivity, improve customer experience, and make intelligent automation a core business advantage.
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About the company
Founded in 2015, Phi Commerce has created PayPhi, a ground-breaking omni-channel payment processing platform which processes digital payments at doorstep, online & in-store across variety of form factors such as cards, net-banking, UPI, Aadhaar, BharatQR, wallets, NEFT, RTGS, and NACH. The company was established with the objective to digitize white spaces in payments & go beyond routine payment processing.
Phi Commerce’s PayPhi Digital Enablement suite has been developed with the mission of empowering very large untapped blue-ocean sectors dominated by offline payment modes such as cash & cheque to accept digital payments.
Custom built enablers around PayPhi, help businesses create, present and process digital payments. Our solutions take into consideration legacy systems and complex workflows of businesses, use case, stakeholders in payment ecosystem such as merchants, consumers, banks, networks and ancillary players etc. This uniquely positions us to eliminate friction in first & last mile of payments and create a sustainable digital payment ecosystem.
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