SEO

Job Description

We are looking for a hands-on Technical Lead Engineer (Full Stack) to spearhead the design, development, and delivery of our scalable web platforms and core application ecosystems. In this role, you will bridge the gap between front-end experiences and robust back-end systems. You will lead an agile development team through technical architecture, feature implementation, integration, testing, deployment, and production support.

The ideal candidate has deep technical expertise in both frontend and backend modern frameworks, a passion for system design, and practical experience building secure, scalable, and high-performance distributed web applications.

Key Responsibilities

• Technical Leadership: Lead end-to-end full-stack software development, architectural design, and system evolution.
• Backend Architecture: Design scalable, fault-tolerant backend architectures, optimizing high-volume data ingestion pipelines and processing engines.
• Frontend Excellence: Direct the development of highly responsive, intuitive, and modular user interfaces that ensure a seamless user experience.
• API & Integrations: Architect secure RESTful APIs and integrate external enterprise platforms, third-party microservices, and identity providers.
• Team Mentorship: Mentor developers, run strict code reviews, define engineering best practices, and guide sprint-level execution.
• Data & Messaging: Maintain and optimize relational, NoSQL, and time-series databases alongside message queues for real-time application events.
• Production Ownership: Own technical troubleshooting for live production bottlenecks, system latency issues, and deployment bugs.
• Documentation: Create clean technical documentation, structural architecture diagrams, and system deployment guidelines.

Required Skills

• Experience: 6+ years of software development experience with at least 2+ years leading engineering teams or owning technical delivery.
• Backend Core: Advanced hands-on experience with Java, Spring Boot, Spring Cloud, multithreading, and REST API development.
• Frontend Core: Mastery of modern JavaScript/TypeScript frameworks (such as React, Angular, or Vue.js), HTML5, and responsive CSS architectures.
• Data Platforms: Proficient with relational databases (MySQL, PostgreSQL) and NoSQL/Caching systems (Redis, MongoDB).
• Messaging Systems: Experience implementing asynchronous workflows using message brokers like Kafka or RabbitMQ.
• Design Patterns: Strong grasp of microservices patterns, distributed system caching, load balancing, and failover mechanisms.

Preferred / Nice-to-Have Skills

• Experience deploying workloads to Cloud environments (AWS, Azure, or GCP).
• Familiarity with containerization tools like Docker and orchestration via Kubernetes.
• Hands-on experience setting up continuous integration and automated deployment pipelines (CI/CD).
• Exposure to system observability tools (Prometheus, Grafana, ELK stack).

Education Requirement

• Bachelor's degree in Computer Science, IT, Electronics, Electrical Engineering, or a related field. Candidates with equivalent exceptional hands-on full-stack engineering experience will be highly considered regardless of formal degree background.

Description

Job Summary

We are seeking a visionary Senior AI Engineer with a minimum of 3+ years of experience to lead the development of an advanced AI system leveraging CrewAI and LangChain tools to build intelligent, collaborative multi-agent systems for the logistics domain. The role includes designing AI agents capable of handling complex tasks, optimizing workflows, and conducting A/B and beta testing to ensure robust, scalable performance under diverse conditions. This is an opportunity to shape cutting-edge AI systems and revolutionize logistics operations.

Responsibilities:

1. Design & Architecture:

 Architect and implement a multi-agent AI system using CrewAI for task collaboration, communication, and real-time logistics optimization.

 Integrate LangChain tools for natural language understanding, contextual reasoning, and knowledge retrieval.

 Ensure the system is designed to allow comprehensive testing, iteration, and improvement.

2. AI Agent Development:

 Develop autonomous agents capable of dynamic decision-making, task delegation, and seamless inter-agent communication.

 Use LangChain to enhance agent capabilities, such as reasoning over unstructured data and interfacing with external knowledge bases.

3. A/B Testing & Experimentation:

 Design and execute A/B tests to compare AI agent strategies, workflows, and decision-making models under varying scenarios.

 Develop and implement metrics for evaluating system performance (e.g., latency, accuracy, scalability).

 Use experimentation frameworks to test hypotheses and gather insights on system improvements.

4. Beta Testing & Real-World Simulation:

 Set up controlled beta testing environments that mimic real-world logistics operations.

 Simulate edge cases, bottlenecks, and high-load scenarios to ensure system robustness and scalability.

 Gather feedback from beta users and iterate on the system to address discovered issues.

5. Progress Demonstration:

 Develop dashboards and visualizations to showcase key performance indicators (KPIs) and test results.

 Implement tools to log and track agent interactions, decision outcomes, and error rates in real-time.

 Regularly present progress to stakeholders, highlighting improvements and areas for refinement.

6. Optimization & Scalability:

 Optimize multi-agent interactions and resource allocation for real-world logistics challenges.

 Ensure the system scales seamlessly for complex operations involving high volumes of agents and data.

7. Integration:

 Seamlessly integrate the multi-agent system with logistics platforms, such as Transportation Management Systems (TMS) and Warehouse Management Systems (WMS).

 Use LangChain tools to connect agents to APIs, external knowledge graphs, and live data streams.

8. Collaboration & Leadership:

 Lead a team of engineers in developing advanced AI solutions, mentoring them on testing frameworks and innovative technologies like CrewAI and LangChain.

 Collaborate with cross-functional teams to align AI development with business needs.

9. Research & Innovation:

 Stay updated on the latest advancements in multi-agent systems, LangChain, CrewAI, and testing frameworks.

 Introduce cutting-edge techniques to continuously improve the AI system’s performance.

Required Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).

Experience:

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

Technical Skills:

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Strong understanding of A/B testing platforms and methodologies for AI systems.

• Expertise in building beta testing pipelines and real-world simulation environments.

• Familiarity with distributed systems, reinforcement learning, and natural language processing (NLP).

• Proficiency in using LangChain tools for chaining tasks, knowledge retrieval, and reasoning.

• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

• Good to have experience in Cursor & MCP.

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

Preferred Qualifications:

 Experience in logistics systems, such as route optimization, shipment tracking, and demand forecasting.

 Familiarity with graph theory, network optimization, and blockchain for agent security.

 Background in designing scalable systems tested under diverse operational conditions.

Soft Skills:

 Strong analytical and problem-solving abilities.

 Ability to communicate technical concepts effectively to stakeholders.

 Leadership skills for mentoring teams and guiding project execution.

Bachelor’s degree (minimum) in Computer Science or Engineering.

5-7 years of experience working as a senior–level Software Engineer

Excellent programming and debugging skills in C/C++and Python

Experience developing on Windows and Linux systems 

Experience in automation of manual tasks

Although not required, the following are a plus:  

Experience working with Build framework (Makefile, CMake, Scons), Batch/Shell scripting

Experience with Jenkins and other CI/CD tools

Knowledge of RESTful web services and docker

Job Details

Description

We are looking for a passionate Senior User Experience Designer to join our fast growing team at LogiNext. You’ll collaborate with Product Managers and other UI designers to design new features, translate concepts into living and breathing prototypes, and rapidly iterate on interactions, animations, and details to deliver the best user experience. You will be responsible for conceptualizing & creating highly interactive user interfaces across all supported platforms.

You are passionate about design and are driven to create solutions for our clients that combine business objectives, design principles, and continuous user research into a compelling user experience. You have experience in designing a consistent and adaptable platform-based approach to user experience within a technology-driven and Software-as-a-Service (SaaS) based environment. You are a compulsive problem-solver with excellent visualization and communication skills.

Responsibilities: 

• Gather, analyse & process data to determine the user needs & enhance the user experience
• Research & learn new, or re- emerging front- end technologies that facilitate improved user experience.
• Conceptualise designs through storyboards & concept presentations
• Design beautiful digital interfaces and present ideas in a compelling manner
• Perform usability testing with prototypes
• Create wireframes & prototypes to create a perfect user interface 
• Create the best visual communication design with graphic design, website design, drawing and illustration, animation, client discussion and standard layouts.
• Mentor other team members in conceptualising and visually articulating design solutions

Requirements:

• Bachelor’s degree or higher in Arts/Commerce/Science/Technology 
• 8 to 10 years of experience in UI/UX designing
• Must have experience in designing user interfaces for B2B SaaS Products
• Must have excellent experience using tools such as Sketch, Photoshop, Adobe Illustrator
• Able to work and thrive in a fast-paced, rapidly changing work environment
• Should have excellent communication skills, with an ability to convey ideas clearly & precisely
• Must have leadership skills & a good team player
• Must be pro-active & a self-starter

Job Requirements:

1. Responsible for making outbound calls and regular follow-up on leads assigned.

2. Build a strong relationship/Trust with customers by Understanding the customer.

3. Process the Revenue generation by following Cold calling and follow-ups frequently.

4. Strong to give Demos/Presentations to the clients online and convert them to potential clients.

5. Strong enough to give revenue to the company and able to deliver results on time.

6. Motivated enough to do marketing Research on different CRM applications/software as per the client’s requirements.

7. Requirements, Explain the product or service to potential customers and suggest the right products to the customers.

8. Handling customer queries and resolving the issues related to them.

9. He/she should have great communication and convincing skills and be able to reach targets.

10. He/She should be okay to give the physical demos if necessary or if requested by the client in rare cases.

Position Description:

Our sales professionals focus on face to face sales presentations as they provide our clients an

opportunity to know IndiaMART & value addition IndiaMART can bring to their respective business.

This position allows you to build new clients for the organization, build rapport and trust in both yourself and the company. Our top sales professionals are passionate and driven in order to produce top results, all the while maintaining integrity.

The job encompasses complete P&L responsibility of a Branch comprising of 20-30 people. He shall be responsible to plan, execute and monitor the sales operations with the objective of attaining accelerated growth of new client acquisition in line with the laid down processes. The role will involve recruiting & managing direct sales force in the Branch, increasing the productivity level & overall efficiency of the sales team and ensuring target achievement as per the defined targets.

Job Summary:

• Monitoring and analysis of key data of the region allocated including sales figures, sales personnel, productivity ratios, client’s work status and receivables.
• Accurately forecasts weekly, monthly, quarterly and yearly revenue streams.
• Identifying the opportunity & problem areas, preparing the action plan for achieving the key
• sales figures and presenting the Branch Sales reports. Actively driving and ensuring sale target
• achievement, management of sales support function and timely work completion of customers.
• Recruit, develop & ensure Retention of respective team by formulating their development plans, meeting their training needs and communicating with them on a regular basis.
• Record performance metrics and monitoring key parameters to increase the overall productivity of the sales personnel.
• Drive performance incentive structure and sales promotion schemes.
• Collecting market feedback and provide periodic updates to the management for formulation of policy & strategy.
• To penetrate all targeted accounts and originate sales opportunities for the company’s products and services.
• To set up and deliver sales presentations, product/service demonstrations on daily basis with his/her team.
• To ensure systematic follow-up with the client organizations to take the sales pitch to timebound closure.
• To ensure that all payments are collected as per the company’s payment terms.
• Ensure adherence to sales processes and requirements.
• Conduct performance review for his/her team on regular basis.

IT Sales – Job Purpose

Generates IT (information technology) sales and business, develops relationships with new clients, makes sales visits and presentations, maintains advanced knowledge of products and services, and establishes and meets sales goals.

Role & Responsibilities

• Develops and expands a portfolio of corporate clients by networking and marketing
• Assesses client IT needs and makes recommendations, including IT equipment and service packages
• Prepares sales visits and presentations to pitch product, service, and combination packages to clients
• Demonstrates IT equipment to highlight product benefits
• Negotiates sales, package discounts, and long-term contracts with clients
• Provides technical advice after sales
• Establishes sales goals and implements a plan to meet those goals
• Tracks progress toward goals and documents sales performance
• Becomes fluent in all products and services offered by the employer through testing, demonstrations, and research
• Answers questions, describes benefits, and discusses pros and cons of various competing products or services
• Gains familiarity with the IT industry, and stays updated on trends and innovative products
• Creates marketing literature and web-based features to promote products and time-sensitive sales
• Make cold calls to explore new business opportunities and Interact with clients.
• Knowledge of bidding portals (Upwork, Web Guru, freelancer, etc)

IT Sales Skills and Qualifications

• Bachelor's Degree in Computer Science or Marketing,
• Experience with Sales and Marketing.
• Knowledge of Relevant Products and Sales, Written and Verbal Communication, Interpersonal Communication, Negotiation, Critical Thinking,
• Ability to Meet Goals, Ability to Work Under Pressure, High Energy Level, Motivation, Ambition, Technical Skill, Attention to Detail.

• Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
• Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
• Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
• Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
• Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
• Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree  and Random forest Algorithms.
• PolyBase queries for exporting and importing data into Azure Data Lake.
• Building data models both tabular and multidimensional using SQL Server data tools.
• Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
• Programming experience using python libraries NumPy, Pandas and Matplotlib.
• Implementing NOSQL databases and writing queries using cypher.
• Designing end user visualizations using Power BI, QlikView and Tableau.
• Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
• Experience using the expression languages MDX and DAX.
• Experience in migrating on-premise SQL server database to Microsoft Azure.
• Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
• Performance tuning complex SQL queries, hands on experience using SQL Extended events.
• Data modeling using Power BI for Adhoc reporting.
• Raw data load automation using T-SQL and SSIS
• Expert in migrating existing on-premise database to SQL Azure.
• Experience in using U-SQL for Azure Data Lake Analytics.
• Hands on experience in generating SSRS reports using MDX.
• Experience in designing predictive models using Python and SQL Server.
• Developing machine learning models using Azure Databricks and SQL Server