Kaleris LLCVia Unstop

Posted today

Engineering Intern – Transport Analytics

Pay

Stipend (undisclosed)

Location

Chennai, India

On site

Type

Internship

Apply by

4 Nov

12 days left

Skills this role screens for

API development (rest)Database queryingData transformationArtificial intelligence (AI)Backend development

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About the role

Kaleris is hiring for the role of Engineering Intern – Transport Analytics!

The work

Responsibilities of the Intern

  • Full-Stack & API Development: Design, build, and maintain lightweight web applications and RESTful APIs that interface directly with our analytics database ecosystem.
  • Data & Analytics Integration: Query, transform, and leverage data warehouse pipelines to feed user-facing analytical tools and internal operational dashboards.
  • AI & Agentic Experimentation: Assist in prototyping modern AI workflows—exploring Agentic AI frameworks, LLM integrations, and intelligent automation to solve transport analytics challenges.
  • Cross-Functional Problem Solving: Work closely with product managers and business stakeholders to translate complex business problems into reliable, efficient engineering solutions.
  • Rapid Prototyping: Adapt quickly to changing product needs, delivering functional proof-of-concepts (PoCs) that can be validated directly with end-users.

Who they want

Requirements

  • Education: Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline.
  • Polyglot Programming: Solid foundational knowledge and hands-on project experience in both Python and Java.
  • Database & Web Fundamentals: Practical understanding of relational database systems (SQL/NoSQL) and experience building web applications connected via backend DB APIs.
  • Modern AI Awareness: Familiarity with Generative AI concepts, LLM application architectures, or emerging Agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, or tool-use patterns).
  • Problem-Solving Mindset: A structured, analytical approach to troubleshooting and breaking down ambiguous business problems into clear technical components.

Where this listing comes from

From a public listing board (Unstop).

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