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Concert AI Off Campus Drive 2026: Associate Software Engineer
Concert AI
14 Aug 2026 - 11 Sept 2026
Description
Concert AI Off Campus Drive 2026 – Details:
| Job Role | Associate Software Engineer |
|---|
Software Development: Design, code, test, and debug GenAI based software applications in various software languages.
Collaboration: Work closely with cross-functional teams to gather requirements, understand project scopes, and deliver high-quality solutions.
Problem-Solving: Analyze and resolve technical issues in software applications, proposing creative solutions when needed.
Code Reviews: Conduct and participate in code reviews to ensure code quality and adherence to coding standards.
Documentation: Prepare technical documentation and reports as necessary for projects and processes.
Adaptability: Keep updated with emerging technologies and industry trends, integrating them into ongoing projects.
Key responsibility:
- Software Development: Design, code, test, and debug GenAI based software applications in various software languages.
- Collaboration: Work closely with cross-functional teams to gather requirements, understand project scopes, and deliver high-quality solutions.
- Problem-Solving: Analyze and resolve technical issues in software applications, proposing creative solutions when needed.
- Code Reviews: Conduct and participate in code reviews to ensure code quality and adherence to coding standards.
- Documentation: Prepare technical documentation and reports as necessary for projects and processes.
- Adaptability: Keep updated with emerging technologies and industry trends, integrating them into ongoing projects.
Eligibility Criteria
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- Proficiency in programming languages such as Java, Python (preferred), SQL or others relevant to software development along with expose of LLM models and their use cases.
- Exposure to big data processing techniques including Spark, Hadoop, SQL etc.
- Proficiency in programming languages such as Python, R, or others used in data analysis, LLM and machine learning along with strong understanding of statistical analysis, and data manipulation techniques.
- Familiarity with modern machine learning techniques.
- Bonus: Experience with Docker and GitHub for deployment.
- Strong problem-solving skills and a logical approach to tackling challenges.
- Understanding of software development methodologies and best practices.
- Excellent communication skills and ability to work collaboratively in a team environment.
- Prior internship or project experience in software development is a plus.
