Software Engineer - AI

APM Terminals Gothenburg; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Maersk is seeking a Software Engineer, AI & Data in Bengaluru. You will design, build, and scale AI-driven data applications and platforms, contributing across data engineering, backend services, and APIs.

You will develop intelligent workflows with AI agents and enable self-service analytics with governed data access. The role requires 2–5 years in software or data engineering, proficiency in Python/Java, SQL/ETL, APIs and microservices, and exposure to cloud/DevOps.

Qualifications

• BE or B Tech in Computer Science or related field.
• 2–5 years of software or data engineering experience.
• Proficiency in Python, Java, or equivalent.
• Experience with SQL and basic data pipelines/ETL.
• Understanding of APIs, microservices, and backend development.
• Exposure to cloud platforms and DevOps practices.
• Basic knowledge of AI/ML or interest in building AI-driven solutions.

Responsibilities

• Design and build AI-powered applications and data platforms.
• Develop intelligent workflows using AI agents.
• Create data pipelines and data products for AI/analytics.
• Enable self-service data access and governed data consumption.
• Ensure scalable, secure backend services and APIs.
• Follow CI/CD, DevOps, testing and observability practices.
• Collaborate with Product, Data, Platform and AI teams.

Skills

Python/Java

SQL/ETL

APIs & Microservices

Cloud & DevOps

AI/ML interest

Education

BE/BTech in CS or related field

Job description

Who we are: At Maersk, we are redefining global logistics through data, platform engineering, and AI-driven innovation. As part of this journey, we are building scalable platforms and intelligent systems that enable faster decision-making, operational efficiency, and seamless integration across the enterprise. Team/Opportunity: As a Software Engineer, AI & Data, you will design, build, and scale data and AI-driven applications that power critical business capabilities. You will work at the intersection of data engineering, platform development, and agentic AI, contributing to end-to-end solution delivery, from data pipelines to intelligent applications enabling self-service analytics and AI-driven decision-making across the enterprise.

Key Responsibilities:

• AI, Agentic AI & Application Development Design and build AI-powered and agentic AI applications, leveraging modern frameworks and enterprise AI platforms
• Develop intelligent workflows using AI agents to automate business processes and decision-making
• Contribute to end-to-end AI application development, including APIs, backend services, and user-facing integrations
• Data Engineering & Analytics Enablement Build scalable data pipelines and data products to support AI and analytics use cases
• Enable self-service data access and reporting, ensuring governed and reliable data consumption
• Contribute to integrated data foundations enabling cross-platform use cases (e.g., end-to-end visibility)
• Software Engineering & Platform Development Develop scalable, secure backend services and APIs to support AI and data applications
• Follow modern engineering practices including CI/CD, DevOps, testing, and observability
• Contribute to reusable platform components and shared capabilities
• Cross-Functional Delivery Work with Product, Data, Platform, and AI teams to deliver end-to-end solutions
• Contribute to architecture discussions and ensure alignment with enterprise standards
• Support integrations across SAP and non-SAP ecosystems
• Operational Excellence Ensure solutions are reliable, scalable, and production-ready
• Monitor, troubleshoot, and continuously improve platform performance
• Drive automation, observability, and supportability of AI and data solutions

Our Ideal Candidate:

• Strong software engineering experience with focus on backend, data, or platform development
• Hands-on experience building AI/ML or agentic AI-based applications
• Solid understanding of data engineering, data pipelines, and analytics use cases
• Familiarity with cloud platforms (Azure preferred) and distributed systems
• Strong problem-solving skills with ownership mindset and ability to work across teams

Required Skills/Experience:

• BE or B Tech in a Computer Science or a science/engineering discipline.
• 2–5 years of experience in software engineering or data engineering
• Proficiency in Python, Java, or similar programming languages
• Experience with SQL and basic data pipelines / ETL processes
• Understanding of APIs, microservices, and backend development
• Exposure to cloud platforms and DevOps practices
• Basic knowledge of AI/ML or interest in building AI-driven solutions

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing [e-mail].

A.P. Moller - Maersk is an integrated container logistics company working to connect and simplify its customer's supply chains. As the global leader in shipping services, the company operates in 130 countries and employs roughly 100,000 people. With simple end-to-end offering of products and digital services, seamless customer engagement and a superior end-to-end delivery network, Maersk enables its customers to trade and grow by transporting goods anywhere - all over the world. For more information click here. All the way.