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CConcert AI

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 RoleAssociate 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.