Engineering Intern – Transport Analytics

Kaleris; Chennai District; On-site; INR 201,000 - 357,000; Full time

Job summary

Kaleris seeks an Engineering Intern in Transport Analytics to join Chennai-based teams working on data-heavy, AI-powered transport solutions. You will contribute to full-stack development, analytics data pipelines, and prototype AI workflows with real-world impact.

Ideal candidates are pursuing or have completed degrees in CS/SWE/Data Eng, proficient in Python and Java, and familiar with SQL/NoSQL databases, APIs, and cloud/container basics.

Qualifications

• Pursuing or completed Bachelor’s or Master’s in Computer Science, Software Engineering, Data Engineering, or a related technical discipline.
• Solid foundational knowledge in Python and Java with hands-on project experience.
• Practical understanding of relational and NoSQL databases and building web apps with backend APIs.
• Familiarity with Generative AI concepts, LLM architectures, or agentic AI frameworks.
• Structured, analytical approach to troubleshooting and breaking down complex problems into technical components.

Responsibilities

• Full-Stack & API Development: design, build, and maintain lightweight web apps and RESTful APIs interfacing with analytics databases.
• Data & Analytics Integration: query, transform, and feed data warehouse pipelines to analytics tools and dashboards.
• AI & Agentic Experimentation: prototype AI workflows, explore LangChain, AutoGen, CrewAI, and tool-use patterns.
• Cross-Functional Problem Solving: work with product managers and stakeholders to translate business problems into engineering solutions.
• Rapid Prototyping: deliver proof-of-concepts that can be validated with end-users.

Skills

Python

Java

AI concepts

Education

Bachelor's or Master's in CS/Software Engineering/Data Eng

Tools

SQL/NoSQL

LangChain

Docker

Job description

## Engineering Intern – Transport AnalyticsApply: Chennai: Full time: Posted Yesterday: R-100656**Job Description:****Role Summary & Core Objective***The Transport Analytics team serves as the backbone data warehouse ecosystem powering our suite of inland transport products. We bridge complex supply chain logistics with high-performance data systems to solve real-world operational challenges. We are seeking a high-octane Engineering Intern who combines strong core software engineering fundamentals with a curiosity for modern AI paradigms to drive quantifiable business outcomes: revenue growth, cost reduction, or elevated customer satisfaction.***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.