Marketing Executive – International Outbound Calling (IT Services)

About the Role: We are a Y Combinator backed company (YC W21) and have closed our pre-series A round. Backed by experienced founders/CXOs/directors from renowned companies like WhatsApp, Lulu group, OYO, Netflix, Pepsico, Cleartax, InMobi etc. to add to our team.

In 2025, Businessonbot has grown 20% MoM, March'25, MRR and inched towards profitability in Q1 of FY 2025. We target a massive wave of D2C businesses in India. In the year 2025, we are the market leader in our domain. There’s never been a more exciting time to be in BusinessOnBot.

We are on a mission to help a million+ consumer brands with automated sales and user acquisition via omni channels (WhatsApp/Instagram/Email and SMS)

Position Overview: We are looking for a passionate and skilled React Native Mobile Developer with hands-on experience in building high-performance mobile applications for both iOS and Android platforms. In this role, you will be responsible for developing scalable, user-centric mobile solutions that align with product goals and enhance overall customer experience.

You will work closely with Product, Design, and Engineering teams to design, develop, test, and deploy new features while ensuring application performance, responsiveness, and reliability. The ideal candidate is a proactive problem-solver with strong technical expertise in React Native, a solid understanding of mobile architecture and APIs, and the ability to write clean, maintainable, and efficient code in a fast-

paced SaaS environment.

Key Responsibilities:

1. Develop and maintain mobile applications using React Native for both iOS and Android platforms.
2. Collaborate with cross-functional teams to define, design, and deliver new features.
3. Ensure the performance, quality, and responsiveness of applications.
4. Identify and correct bottlenecks and fix bugs to enhance application performance.
5. Write clean, maintainable, and efficient code following industry standards and best practices.
6. Integrate third-party APIs and services.
7. Work on continuous integration and continuous deployment (CI/CD) pipelines for mobile applications.
8. Stay updated on the latest technologies and frameworks to continuously improve app development.

Skills and Qualifications:

• Proven experience as a React Native Developer (minimum 1 years).
• Hands-on experience with React Native, including complex app architectures, Redux-Saga, Sockets.io or Context API.
• Understanding of mobile app development principles, including the mobile development lifecycle.
• Knowledge of RESTful APIs to connect mobile apps with backend services.
• Experience in optimizing app performance and troubleshooting crashes.
• Strong problem-solving and debugging skills.

Must Have:

• Experience with TypeScript in React Native and Angular
• Understanding of mobile app distribution via App Store and Play Store.

Benefits:

• Work closely with Product and Engineering teams in a fast-growing SaaS company
• Exposure to SaaS product workflows and direct collaboration with product & tech teams
• Positive and collaborative work culture

About the Role 

We are seeking detail-oriented and proactive Operations Interns to join our team remotely for a 3-month internship. This role is ideal for students or recent graduates interested in business operations, process management, and cross-functional coordination.  

Responsibilities 

• Assist in day-to-day business operations and process management. 
• Support project coordination and ensure tasks are executed on time. 
• Help prepare reports, dashboards, and documentation for operational activities. 
• Collaborate with different teams (HR, Marketing, Tech, etc.) to ensure smooth workflows. 
• Identify process gaps and suggest improvements for efficiency. 
• Track and monitor key operational metrics. 
• Contribute to internal communication and scheduling. 

Requirements 

• Interest in business operations, project management, or related fields. 
• Strong organizational and multitasking skills. 
• Good analytical and problem-solving abilities. 
• Proficiency in MS Office/Google Workspace (Excel/Sheets, Docs, Slides). 
• Strong written and verbal communication skills. 
• Ability to work independently in a remote environment. 

What You’ll Gain 

• Real-world exposure to business operations and cross-team collaboration. 
• Practical skills in process management, reporting, and documentation. 
• Mentorship and guidance from operations professionals. 
• Completion Certificate upon successful completion. 
• Letter of Recommendation based on performance. 

Internship Details 

• Duration: 3 months 
• Location: Remote (Work from Home) 
• Perks: Completion Certificate + Letter of Recommendation 

Job Overview

Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.

Key Responsibilities

• Design, develop, and maintain scalable backend services and APIs using NodeJS and Python
• Build event-driven architectures using RabbitMQ and Kafka for real-time data processing
• Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing
• Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows
• Design AI-powered features such as recommendation systems, document processing, or conversational interfaces
• Ensure system reliability, security, and low-latency performance for mission-critical systems
• Lead technical design discussions, conduct code reviews, and mentor junior engineers
• Optimize database queries, implement caching strategies, and improve overall system performance
• Collaborate with cross-functional teams to deliver end-to-end product features
• Implement monitoring, logging, and observability solutions

Required Skills and Qualifications

• 2+ years of professional backend development experience
• Strong expertise in NodeJS and Python for production-grade applications
• Proven experience building RESTful APIs and microservices architectures
• Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering)
• Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics)
• Strong proficiency in PostgreSQL, including query optimization and schema design
• Hands-on experience with RabbitMQ and Kafka
• Experience with BigQuery or similar data warehousing solutions
• Solid understanding of distributed systems, scalability patterns, and high-traffic applications
• Strong knowledge of authentication, authorization, and security best practices
• Experience with Git, CI/CD pipelines, and modern development workflows
• Excellent problem-solving and debugging skills
• Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus

Apply directly at: https://wohlig.keka.com/careers/jobdetails/136351

Job Title: Senior AI Engineer 

Job Summary: 

We are seeking experienced Senior AI Engineers to join our AI team and drive the design, development, and deployment of cutting-edge AI solutions. You will work on exciting projects, such as sentiment analysis for support tickets, automated data insights, conversational interfaces, and zero-touch planning using AI. This role requires close collaboration with cross-functional teams, including Product and Data Engineering, to deliver impactful AI-driven features that transform our platform. 

Key Responsibilities: 

• Design, develop, deploy, and maintain ML models and AI infrastructure. 
• Collaborate with cross-functional teams to integrate ML models into production workflows. 
• Utilize AWS services, including Sage Maker and Bedrock, for model deployment and real-time monitoring. 
• Implement and manage CI/CD pipelines to ensure efficient and reliable model deployment. 
• Stay updated with the latest advancements in machine learning and AI best practices. 
• Monitor and optimise model performance, addressing issues related to scalability and efficiency. 
• Troubleshoot and resolve problems related to ML models and infrastructure. 

Requirements: 

• 5+ years of professional experience with Python programming. 
• Hands-on experience with Machine Learning Operations (MLOps). 
• Proven expertise in data engineering and ETL processes. 
• Strong knowledge of AWS services, including Sage Maker 3wand Bedrock. 
• Proficiency in setting up and managing Docker and CI/CD pipelines. 
• Experience with large language models (LLMs) and prompt engineering. 
• Familiarity with model performance monitoring and optimization techniques. 
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. 

We are looking for a Java/Full stack Developer with experience in building high-performing, scalable, enterprise-grade applications.

You will be part of a talented software team that works on mission-critical applications. Java developer roles and responsibilities include managing Java application development while providing expertise in the full software development lifecycle, from concept and design to testing.

Java developer responsibilities include designing, developing and delivering high-volume, low-latency applications for mission-critical systems.

Experience : 2+ years

Location : Work from Home (full time)

Notice Period : 0 to 30 days ( Immediate joiners are preferred)

Roles & Responsibilities :

(This role encompassing both API engineering using Java stack and web development. Experience in designing, developing, testing and successfully deploying critical and complex projects.)

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Ensure designs are in compliance with specifications

• Prepare and produce releases of software components

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• Build reusable code and libraries for future use

Required Skill set :

• Java background with a minimum of 2 years experience in Java technologies.

• Experience in designing and developing application backend using frameworks like Spring Boot, Spring MVC, Jersey, JPA, Hibernate, SQL, Linux, JSON, XML, OAuth etc.

• Add on : Experience with frontend technologies like CSS,HTML,Javascript, NodeJS/Express, Angular, React, ExtJS, Vue is preferred

• Experience with both SQL and NoSQL database systems and writing SQL queries

• Strong experience building, designing, and consuming Restful web services.

• Exposure of Cloud Infrastructure - AWS and Alibaba Cloud

• Excellent understanding of ORM and Database concepts

• Experience with developing unit test code using JUNIT, Power Mock/EasyMock/Mockito etc.

• Experience with Git, Maven and CI/CD pipelines to deploy on Cloud applications

• Experience & knowledge on Micro services Architecture and API development using Java, spring, Spring Boot

• Experienced in roles conducting requirements gathering, writing user stories, creating application design and using design patterns

• Good knowledge on credentials/secrets management and data encryption techniques

• Good knowledge on coding standards, design patterns, unit testing.

• Good hands - on BitBucket/Github is preferred.

LogiNext is looking for a target oriented and enthusiastic technology recruiter who has a successful record in closing the perfect candidate for a job role. With an eye for the right talent, you will be a part of the end-to-end recruitment cycle driving hiring results and closures. 

You have experience in technology recruitment with a proven track record in a SaaS product company. You are a master in analysing the appropriate skills, building a strong recruitment pipeline and bringing them to closure.

Responsibilities   

• Handle end to end recruitment cycle for the open positions 
• Coordinate with the hiring managers to understand the skill-set required, create a job description, develop a recruitment plan and execute it
• Screen the profiles of inbound candidates and search profiles through various job portals to hunt for the best candidates
• Coordinate with hiring managers to schedule telephonic and face-to-face interviews and follow up with the candidates
• Negotiate with the candidates on salaries and perks offered
• Create a pipeline of active candidates qualified for further interview rounds for the open positions and construct of strong network of passive candidates
• Represent LogiNext strongly to generate a genuine interest in the candidates and provide them complete and inspiring details of the position
• Log and record each-and-every outreach made, in the ATS and generate regular activity reports 

Requirements

• Bachelor’s or Master’s Degree in HR, Business Management, Statistics or related field
• 2 to 3 years of experience in technology recruitment with high success ratio
• Possessing good understanding of recruitment cycle in a product organization
• Good knowledge of enterprise technologies and SaaS market
• Good screening skills along with strong judgement on the behavioral skills to evaluate the candidate’s technical fitment and alignment with LogiNext’s cultural values
• Ability to take ownership, understand the requirements of positions and prosper in a fast-paced recruitment environment
• Extensive working knowledge of developing relationships with candidates and keeping them interested in LogiNext along with ability to generate leads to find the best of the candidates
• Excellent verbal and written communication skills and time management skills are essential
• Ability to manage and handle multiple requirements at a time efficiently
• Regularly keep oneself posted with the latest technologies

Work Location - Bangalore

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Build and enhance the software stack for modelling and data analytics
• Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
• Automate repetitive data modelling and analytics tasks
• Keep up to date with available relevant technologies, to solve business problems
• Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
• Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
• Share daily/weekly  progress made by the team
• Work with senior stakeholders & drive the discussions independently
• Mentor and lead a team of software developers on analytics related product development practices

Qualifications:

• 10-13 years of data engineering experience.
• Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
• In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
• Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
• Intuitive with good interpersonal-skills, time-management and task-prioritization
• Ability to lead a technical team of software developers and mentor them on good software development practices.
• Ability to quickly grasp the business problem and nuances when put forth.
• Ability to quickly put together an execution plan and see it through till closure.
• Strong communication, presentation and influencing skills.

Education:

• Bachelor’s/University degree or equivalent experience
• Data Science or Analytics specialization preferred

Key Technologies:

Qt/QML, C++, OOAD,Qt Creator,Qt Widgets

Responsibilities:

• Be involved in all stages of Qt/C++, , and QML development from architecture to coding to final testing
• Expertise in OOAD concepts
• Work as part of an Agile team to deliver high-quality applications
• Collaborate with the product team to plan, design, and execute new features
• Design Qt Widgets, Proficiency with tools like qt Creator, qt Design Tools

Qualifications:

• Good hands-on experience in C++ system programming and design.
• Good experience on QT and QML
• Strong understanding on object oriented techniques/methodologies.
• Good working experience on Linux platforms
• Exposure to STL, Design Patterns