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Engineering Intern – Transport Analytics

Kaleris
Chennai, IND
Full-time
Intern
Onsite
Discovered 3 weeks ago
awsazuredockerjavalangchainpython

Full Job Posting

Key Responsibilities

  • 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.
  • Qualifications & Skill Requirements
  • Minimum Qualifications
  • 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.

Preferred Qualifications

  • Logistics & Data Pipelines: Prior internship, open-source contribution, or academic project experience involving data warehousing, ETL pipelines.
  • Cloud & DevOps Tools: Basic understanding of cloud infrastructure (AWS /Azure) and containerization tools like Docker.
  • Communication Skills: Excellent verbal and written communication skills with the ability to articulate technical concepts to non-technical business partners.
  • What Success Looks Like (KPIs & Impact)
  • During your internship, success will be measured by your ability to deliver end-to-end engineering solutions that drive tangible output across at least one of these core business pillars:
  • Cost Reduction: Automating inefficient manual workflows or optimizing query performance to cut cloud infrastructure and operational overhead.
  • Revenue Growth: Building feature prototypes or analytics tools that unlock new customer capabilities or identify upsell opportunities across transport products.
  • Customer Satisfaction (CSAT): Resolving latency bottlenecks and improving data visibility for transport stakeholders to deliver a seamless user experience.
  • Why Join Us?
  • High Ownership & Impact: Work on live data infrastructure and customer-impacting products rather than isolated side projects.
  • Mentorship & Growth: Collaborate directly with senior data engineers, software architects, and technical product managers who are invested in your career.
  • Cutting-Edge Tech Stack: Get hands-on exposure at the intersection of enterprise data warehouses, full-stack web development, and next-gen AI frameworks.
  • Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Qualifications

  • 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.
  • Logistics & Data Pipelines: Prior internship, open-source contribution, or academic project experience involving data warehousing, ETL pipelines.
  • Cloud & DevOps Tools: Basic understanding of cloud infrastructure (AWS /Azure) and containerization tools like Docker.
  • Communication Skills: Excellent verbal and written communication skills with the ability to articulate technical concepts to non-technical business partners.
  • What Success Looks Like (KPIs & Impact)
  • Cost Reduction: Automating inefficient manual workflows or optimizing query performance to cut cloud infrastructure and operational overhead.
  • Revenue Growth: Building feature prototypes or analytics tools that unlock new customer capabilities or identify upsell opportunities across transport products.
  • Customer Satisfaction (CSAT): Resolving latency bottlenecks and improving data visibility for transport stakeholders to deliver a seamless user experience.
  • Why Join Us?
  • High Ownership & Impact: Work on live data infrastructure and customer-impacting products rather than isolated side projects.
  • Mentorship & Growth: Collaborate directly with senior data engineers, software architects, and technical product managers who are invested in your career.
  • Cutting-Edge Tech Stack: Get hands-on exposure at the intersection of enterprise data warehouses, full-stack web development, and next-gen AI frameworks.
  • Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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