Early-career Associate Engineers will develop, test, debug, and maintain software and AI-first applications under experienced engineers. Responsibilities include applying programming, data structures, algorithms, SQL, APIs, Git, testing, and CI/CD practices while contributing to automation, proof-of-concepts, data, cloud, quality, full-stack, and AI/GenAI projects. The role emphasizes structured learning, collaboration, communication, problem-solving, and growth into specialized engineering disciplines.
About Agivant
Agivant is a new-age AI-First Digital and Cloud Engineering services company that drives Agility and Relevance for our
clients’ success. Powered by cutting-edge technology solutions, we help our customers achieve growth through AI,
Cloud, Data, and Digital Transformation initiatives.
About the Role
About the Role
We are looking for Associate Engineers who are curious, analytical, and passionate about technology. This is an early
career opportunity for candidates who want to build strong engineering fundamentals and grow into specialized
technology roles across AI Engineering, Graph Engineering, Data Science, Data Engineering, Data Analytics, Quality
Engineering, Cloud & Infrastructure, DevOps, Build Engineering, and Full Stack Engineering.
You will work with experienced engineering teams, contribute to real-world projects, and develop your skills through
structured learning, hands-on assignments, and practical engineering experience.
You do not need to know every technology listed below. We are looking for strong fundamentals, learning ability, and
the potential to grow.
What You Will Do
• Build AI-first, agentic applications and workflows using modern AI technologies and frameworks to solve real world business problems.
What You Will Do
• Build AI-first, agentic applications and workflows using modern AI technologies and frameworks to solve real world business problems.
• Develop, test, troubleshoot, and maintain software solutions under the guidance of experienced engineers.
• Apply programming, Data Structures & Algorithms, and problem-solving skills to engineering challenges.
• Work with databases, SQL, APIs, and software development tools.
• Contribute to applications, automation, utilities, and proof-of-concepts.
• Gain exposure to Data Engineering, Full Stack Engineering, Quality Engineering, AI/GenAI, and Cloud Engineering.
• Learn and apply engineering practices such as Git, testing, debugging, and CI/CD.
• Collaborate with engineering teams to build, improve, and maintain solutions.
• Continuously learn new technologies and apply them to real-world business problems.
What We Look For
• Strong fundamentals and the ability to learn quickly.
• Curiosity and enthusiasm for technology.
• A hands-on approach to learning through projects and experimentation.
• Ability to break down problems and work toward practical solutions.
• Good communication, collaboration, ownership, and adaptability.
• Ability to learn from feedback and demonstrate continuous improvement.
• Interest in one or more areas such as Data, AI/GenAI, Full Stack, Quality, or Cloud Engineering
Requirements
Mandatory Technical Skills
• Strong programming fundamentals in at least one programming language, such as Python, Java, C++, or
JavaScript.
• Proficient in Data Structures & Algorithms and Object-Oriented Programming.
• Proficient in Concepts of Knowledge Graph as Data Structures.
• Good logical reasoning, analytical thinking, debugging, and problem-solving skills.
• Basic knowledge of SQL and database concepts.
• Familiarity with Git or version control.
• Ability to understand technical requirements and explain project work clearly.
Good-to-Have Skills
Exposure to any of the following will be an advantage, but none of these are mandatory:
Good-to-Have Skills
Exposure to any of the following will be an advantage, but none of these are mandatory:
• Python, Java, C++, JavaScript, or TypeScript.
• Gen AI, Claude Code/ Gemini, Graph Neural Network, Prompts Engineering, MCP, RAG.
• Web development, REST APIs, or backend development.
• SQL databases, data engineering, or data pipelines.
• Software testing, API testing, or test automation.
• AI/ML, Generative AI, or LLM-based applications.
• Cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
• Linux, Docker, CI/CD, or DevOps fundamentals.
• Hackathons, coding platforms, open-source contributions, or relevant technical projects.
Education & Eligibility
Education & Eligibility
• B.E./B.Tech. in Computer Science & Engineering (CSE), Information Technology (IT), Information Science &
Engineering (ISE), Computer Engineering, Electronics & Communication Engineering (ECE), Artificial Intelligence
& Machine Learning (AI/ML), Artificial Intelligence & Data Science (AI & DS), Data Science, or other closely related
engineering disciplines.
• 2025 and 2026 graduating batches.
• Minimum 8.0 CGPA or equivalent percentage in 10th, 12th, and Engineering.
• Minimum one relevant internship in software development, data, AI/ML, QA, cloud, or a related technology role.
• Strong programming fundamentals in at least one programming language.
• Basic understanding of Data Structures & Algorithms, OOP, and SQL.
• Good written and verbal communication skills.
EEE candidates may also be considered based on strong programming and software engineering fundamentals.
Benefits
Why Join Agivant?
• Build a strong foundation in modern software engineering.
• Gain exposure to real-world AI, Data, Cloud, and Digital Engineering projects.
• Learn emerging technologies through structured training and hands-on assignments.
• Work alongside experienced engineers and technology leaders.
• Grow into specialized engineering roles based on your strengths and interests.
• Contribute to practical solutions that create value for clients
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