Build lightweight web applications and REST APIs connected to transport analytics data systems. Query and transform warehouse data for analytical tools and operational dashboards, while experimenting with agentic AI, LLM integrations, and intelligent automation. Collaborate with product and business stakeholders to develop reliable solutions and rapidly prototype customer-impacting features. Success includes reducing costs, supporting revenue growth, and improving customer satisfaction through better performance and data visibility.
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.
Kaleris Chennai, Tamil Nadu, IND Office
Zenith, Phase III, Unit No: 4 9th floor, CSIR Road , Chennai, India, 600 113
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