Engineering Intern – Transport Analytics

Navis Software Singapore Pte Ltd; Chennai District; On-site; INR 167,000 - 301,000; Full time

Benefits offered by this job

Mentorship

Growth opportunities

Job summary

Navis Software Singapore Pte Ltd in Chennai, India invites engineering interns to join the Transport Analytics team, building data-driven web applications and AI-enabled analytics tools. You will work on full-stack development, data integration, and prototyping agentic AI workflows, collaborating with product managers to translate business problems into scalable software solutions.

Ideal candidates are pursuing a Bachelors or Masters in CS/SE/Data Eng, proficient in Python and Java, with

Qualifications

• Pursuing or recently completed Bachelor’s or Master’s in CS/SE/Data Eng.
• Solid Python and Java skills with hands-on project experience.
• Understanding of SQL/NoSQL databases and web apps with backend APIs.
• Familiarity with Generative AI concepts or Agentic AI frameworks.
• Analytical mindset with ability to break down problems into technical components.

Responsibilities

• Develop full-stack web applications and RESTful APIs connected to analytics databases.
• Query, transform, and leverage data warehouse pipelines for dashboards.
• Prototype AI workflows and agentic AI patterns.
• Collaborate with product managers and stakeholders to translate problems into solutions.
• Deliver rapid PoCs that can be validated with end users.

Skills

Python

Java

SQL/NoSQL

Web development

LangChain/Agentic AI

Problem solving

Education

Bachelor's or Master's in CS/SE/Data Eng

Tools

Docker

Clouds: AWS/Azure

REST APIs

Job description

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.