IndiaMART Associate Engineer Recruitment 2026 | AI Freshers Apply

IndiaMART Associate Engineer Recruitment 2026 | AI Freshers Apply

IndiaMART is hiring candidates for the Associate Engineer role. This opportunity is suitable for B.E./B.Tech graduates, preferably from Computer Science or Information Technology backgrounds, who have strong programming fundamentals and an interest in Artificial Intelligence, Machine Learning, Large Language Models, AI agents, and intelligent automation systems.

The selected candidates will join the Marketplace & Business Intelligence Team and work on real-world intelligent systems designed to impact millions of users and solve practical business use cases. Candidates can gain hands-on exposure to technologies such as LLMs, agentic systems, multimodal AI, LangChain, LangGraph, data pipelines, cloud AI services, APIs, and databases.

Quick Job Snapshot

Company Name	IndiaMART
Role	Associate Engineer
Team	Marketplace & Business Intelligence Team
Qualification	B.E./B.Tech, Preferably in CS or IT
Experience	Freshers / Entry-Level Candidates
Salary	₹6–12 LPA (Estimated)
Job Type	Full-Time

About IndiaMART

IndiaMART is one of India’s leading B2B marketplaces and provides a platform that connects buyers with suppliers across a wide range of business categories. The company has built a large digital marketplace serving businesses across India and uses technology, data, digital platforms, and business intelligence solutions to support marketplace operations.

The Associate Engineer opportunity is focused on candidates interested in Artificial Intelligence and software engineering. Selected candidates will work with experienced Product and Engineering teams while contributing to intelligent systems that solve real business problems and support products used at significant scale.

About the Associate Engineer Role

IndiaMART is looking for ambitious AI enthusiasts to join its Marketplace & Business Intelligence Team. The role provides an opportunity to build real-world intelligent systems, work with large and complex datasets, develop AI-powered workflows, and contribute to products designed around measurable business outcomes.

The selected candidates will participate across different phases of the Software Development Life Cycle, including planning, design, development, testing, deployment, and maintenance. They will also collaborate with cross-functional teams, business owners, stakeholders, Product teams, and Engineering teams throughout different stages of projects.

Key Responsibilities

• Participate in all phases of the Software Development Life Cycle.
• Contribute to planning, design, development, testing, deployment, and maintenance activities.
• Work with cross-functional teams during different stages of projects.
• Analyze and refine technical requirements with stakeholders and business owners.
• Ensure technical requirements align with business objectives and technical feasibility.
• Develop software solutions by understanding information needs and user requirements.
• Study system flows, data usage, and existing work processes.
• Conduct code reviews and provide constructive feedback to peers.
• Build AI agents and automated workflows using Large Language Models.
• Implement data pipelines for AI and Machine Learning systems.
• Work with LangChain and LangGraph.
• Gain exposure to cloud-based AI services.
• Design feedback loops to improve system performance.
• Collaborate with business teams to understand requirements and measure impact.
• Follow software engineering best practices while building AI systems.

Eligibility Criteria

• B.E. or B.Tech degree.
• Computer Science or Information Technology background is preferred.
• Strong programming fundamentals.
• Knowledge of Python programming.
• Understanding of Data Structures and Algorithms.
• Basic understanding of Artificial Intelligence and Machine Learning concepts.
• Familiarity with basic Machine Learning libraries.
• Interest in learning modern AI technologies.
• Analytical mindset with attention to data patterns and metrics.

Technical Skills Required

Candidates should have strong programming fundamentals, particularly in Python, Data Structures, and Algorithms. Candidates should be comfortable with basic problem-solving, writing clean code, understanding program flow, working with data, and debugging technical issues.

The role also requires familiarity with basic Machine Learning libraries. Candidates can prepare commonly used Python libraries and tools such as NumPy, Pandas, scikit-learn, and basic data visualization libraries. Understanding data preprocessing, feature preparation, model training, evaluation metrics, and basic prediction workflows can be useful.

Artificial Intelligence Skills

The role provides exposure to modern AI engineering technologies, including Large Language Models, AI agents, agentic systems, automated workflows, and multimodal AI. Candidates with a basic understanding of Generative AI concepts and a strong willingness to learn can prepare practical projects related to these areas.

Candidates should understand concepts such as prompt engineering, embeddings, vector databases, Retrieval-Augmented Generation (RAG), AI agents, tool calling, context management, and LLM-powered workflows. Practical understanding of how AI applications connect models, APIs, databases, external tools, and business logic can strengthen interview preparation.

LangChain and LangGraph Skills

The selected candidates may work with tools such as LangChain and LangGraph. LangChain is commonly used for developing applications powered by Large Language Models, while LangGraph can support stateful and multi-step agent workflows.

Candidates can prepare by building small projects such as document question-answering systems, RAG chatbots, AI assistants, automated research workflows, customer support assistants, or multi-agent applications. The focus should be on understanding application architecture, data flow, model interaction, error handling, and evaluation rather than simply connecting to an AI API.

API and Database Knowledge

API and database skills are among the important technical areas for the Associate Engineer position. Candidates should understand REST APIs, HTTP methods, JSON, request-response architecture, status codes, authentication basics, and integration with external services.

For databases, candidates should prepare SQL fundamentals such as SELECT statements, filtering, joins, grouping, aggregation, subqueries, and database normalization. Basic knowledge of NoSQL databases and vector databases can also be valuable for modern AI application development.

Data Engineering Exposure

The role includes implementing data pipelines for AI and Machine Learning systems. Candidates should understand basic ETL concepts, data collection, cleaning, transformation, storage, validation, and processing workflows.

Since real-world AI systems often work with incomplete, unstructured, or messy data, candidates should develop an analytical approach to identifying data quality issues, patterns, and useful metrics. Practical experience with Pandas, SQL, APIs, CSV and JSON processing, and basic pipeline development can help candidates prepare.

Skills IndiaMART Is Looking For

• Strong programming fundamentals.
• Python programming knowledge.
• Understanding of Data Structures and Algorithms.
• Basic knowledge of AI and Machine Learning.
• Familiarity with basic ML libraries.
• Analytical mindset and attention to data patterns.
• Ownership mentality and willingness to solve problems.
• Clear communication skills.
• Collaborative approach to working with different teams.
• Ability to work in ambiguous and fast-paced environments.
• Interest in working with real-world and messy datasets.
• Strong willingness to learn modern AI technologies.

Learning and Career Development

IndiaMART highlights employee learning, professional development, and career advancement opportunities. The company provides structured development initiatives aimed at helping employees strengthen technical, professional, and leadership capabilities.

The iLEAD Leadership Experience & Development Program is described as a three-year program designed to prepare new joiners for leadership positions in their respective areas of expertise. According to the provided information, members enrolled in the program can receive a 10% bonus raise over and above the annual appraisal on each joining anniversary while they remain enrolled in the program.

The company also highlights its ILEAP learning policy, under which employees can enroll in educational programs and receive reimbursement upon successful completion. The provided information also mentions sponsored learning opportunities at institutions such as IIM Ahmedabad and FMS.

Salary Insights

IndiaMART has not officially disclosed the compensation package for this Associate Engineer opportunity in the provided hiring information. Based on comparable entry-level Software Engineering, AI Engineering, and Machine Learning opportunities in Noida, the estimated annual compensation may range between ₹6 LPA and ₹12 LPA. Actual compensation may vary depending on candidate profile, technical skills, interview performance, benefits, and company compensation policies.

Career Growth Opportunities

The Associate Engineer role can provide a strong foundation for careers in Software Engineering, Artificial Intelligence Engineering, Machine Learning Engineering, Generative AI Development, Backend Engineering, Data Engineering, and AI Platform Development.

With experience and continued skill development, candidates may progress toward roles such as Software Engineer, AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, Backend Developer, Data Engineer, AI Platform Engineer, Senior Software Engineer, or Technical Lead.

🎯 Interview Preparation

For the IndiaMART Associate Engineer role, candidates should prepare Python programming, Data Structures and Algorithms (DSA), Object-Oriented Programming (OOP), DBMS, SQL, REST APIs, basic Machine Learning concepts, and Software Development Life Cycle (SDLC). Since the role is focused on AI-powered business systems, candidates should also understand Generative AI, Large Language Models (LLMs), RAG, embeddings, vector databases, AI agents, and agentic workflows.

For Python preparation, candidates should revise data types, strings, lists, tuples, sets, dictionaries, functions, classes, exception handling, file handling, modules, packages, iterators, generators, and basic asynchronous programming concepts. Candidates should also practice coding questions involving arrays, strings, hash maps, stacks, queues, linked lists, searching, sorting, recursion, and basic time and space complexity analysis.

For Machine Learning preparation, candidates should understand supervised and unsupervised learning, regression, classification, clustering, training and testing datasets, overfitting, underfitting, feature engineering, cross-validation, and common evaluation metrics. Practical familiarity with libraries such as NumPy, Pandas, and scikit-learn can be useful during technical discussions.

Candidates should also prepare to explain how modern AI applications are built. Important topics include prompt engineering, context management, embeddings, semantic search, vector databases, Retrieval-Augmented Generation, tool calling, AI agents, agent memory, multi-step workflows, evaluation, and feedback loops. Basic familiarity with LangChain and LangGraph can provide an additional advantage.

During the interview, candidates should be ready to discuss academic projects, internships, hackathons, GitHub projects, and AI applications. For every project, clearly explain the problem statement, technology stack, architecture, APIs used, database design, your individual contribution, challenges faced, testing process, and measurable results.

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How to Apply for IndiaMART Associate Engineer Recruitment 2026

Interested candidates can apply through the provided online application form. Before submitting the application, candidates should update their resume with relevant technical skills such as Python, DSA, Machine Learning, SQL, APIs, databases, Generative AI, LLM applications, LangChain, LangGraph, and AI agents.

1. Click the Apply Now button provided below.
2. Open the official recruitment application form.
3. Read all instructions and eligibility requirements carefully.
4. Enter accurate personal and contact information.
5. Provide correct educational qualification details.
6. Add relevant technical skills, certifications, internships, and project experience.
7. Highlight Python, Machine Learning, API, database, and AI-related skills in your resume.
8. Include links to relevant GitHub repositories, portfolios, or technical projects if the application form provides an option.
9. Upload your latest resume and other requested documents.
10. Review all entered information carefully and submit the application.

🚀 Apply Now – IndiaMART

Frequently Asked Questions (FAQs)

1. What role is IndiaMART hiring for?

IndiaMART is hiring candidates for the Associate Engineer role. The opportunity is associated with the Marketplace & Business Intelligence Team and involves Software Engineering, Artificial Intelligence, Machine Learning, LLM applications, AI agents, data pipelines, and business-focused intelligent systems.

2. What is the educational qualification required?

Candidates should have a B.E. or B.Tech degree. Computer Science and Information Technology backgrounds are preferred according to the provided eligibility information.

3. What are the key technical skills required?

The key technical skills include Python, programming fundamentals, Data Structures and Algorithms, basic Machine Learning libraries, APIs, and databases. Candidates should also have a basic understanding of AI and Machine Learning concepts and demonstrate a strong willingness to learn.

4. Is Machine Learning experience mandatory?

The provided eligibility criteria mention familiarity with basic Machine Learning libraries. Candidates should understand fundamental ML concepts and gain practical exposure to libraries such as NumPy, Pandas, and scikit-learn. Building one or two practical Machine Learning projects can help candidates demonstrate their understanding.

5. What AI technologies will candidates work with?

The role provides exposure to Large Language Models, AI agents, agentic workflows, multimodal AI, LangChain, LangGraph, cloud AI services, data pipelines, and feedback loops designed to improve AI system performance.

6. What is an AI agent?

An AI agent is a software system that can use a model, context, tools, data sources, and defined workflows to perform tasks or make decisions. Depending on the application, an agent may retrieve information, call APIs, interact with databases, use external tools, and execute multi-step workflows to complete a business task.

7. What is the role of LangChain and LangGraph?

LangChain is commonly used to build applications powered by Large Language Models by connecting models with prompts, retrieval systems, tools, and application logic. LangGraph is useful for building stateful and multi-step workflows, including agentic applications that require controlled execution paths and interactions between different components.

8. What type of projects should candidates build?

Candidates can build projects such as a RAG-based document assistant, AI customer support assistant, semantic search engine, automated research workflow, AI lead qualification system, recommendation engine, business analytics assistant, or multi-agent workflow. Candidates should understand the complete architecture and be able to explain data flow, APIs, databases, AI components, evaluation, and error handling.

9. What is the location of the IndiaMART Associate Engineer role?

The provided hiring information lists the location as Noida 135. Candidates should be prepared to work according to the location and workplace requirements communicated during the recruitment process.

10. What is the expected salary for the IndiaMART Associate Engineer role?

IndiaMART has not officially disclosed the salary package in the provided hiring information. Based on comparable entry-level Software Engineering, AI, and Machine Learning roles in Noida, the estimated annual compensation may be around ₹6 LPA to ₹12 LPA. Actual compensation can vary depending on candidate profile, technical skills, interview performance, benefits, and company compensation policies.

11. What is the iLEAD program?

The iLEAD Leadership Experience & Development Program is described as a three-year development program designed to prepare new joiners for leadership positions in their respective areas of expertise. According to the provided hiring information, enrolled members can receive a 10% bonus raise over and above the annual appraisal on each joining anniversary while participating in the program.

12. Does IndiaMART support employee learning?

The provided information highlights the ILEAP learning policy, under which employees can enroll in educational programs of their choice and receive reimbursement upon successful completion. The hiring information also mentions sponsored learning opportunities at institutions such as IIM Ahmedabad and FMS.

Why Consider This AI Engineering Opportunity?

The IndiaMART Associate Engineer role combines Software Engineering fundamentals with modern Artificial Intelligence technologies. Candidates can gain practical exposure to Python development, Machine Learning, APIs, databases, data pipelines, LLM applications, AI agents, LangChain, LangGraph, cloud AI services, and real-world business use cases.

This opportunity can be particularly relevant for candidates who want to build careers at the intersection of Software Engineering, Data, and Artificial Intelligence. Candidates should focus on strengthening Python, DSA, APIs, SQL, Machine Learning fundamentals, Generative AI concepts, LLM application development, and practical project experience while preparing for the selection process.