Software Engineer - AI/ML Fullstack Engineer

Posted One Month Ago
560064, Yelahanka, Karnataka, IND
In-Office
Entry level
Blockchain • Logistics
The Role
Build end-to-end AI-powered business applications within the Finance and Tax platform. Responsibilities include developing frontend interfaces, Java and Python backend services, microservices, AI agents, LLM workflows, RAG solutions, conversational assistants, and knowledge retrieval systems. The role integrates Azure, OpenAI and other LLM platforms, vector databases, event streaming, testing, CI/CD, and cloud-native technologies.
Summary Generated by Built In

Working within the Finance & Tax platform as part of the Azure capability team, you will build next-generation business applications leveraging cloud-native technologies, microservices architecture, and AI-powered experiences. You will design, develop, and deliver end-to-end solutions across frontend, backend, and AI agent layers using modern AI platforms and Large Language Models.

Roles and Responsibilities
  • Deliver technical capabilities corresponding to user stories defined in the product backlog.
  • Design, develop, and maintain scalable frontend, backend, and AI-powered solutions.
  • Build and integrate AI agents using modern frameworks and enterprise AI services.
  • Develop intelligent workflows leveraging LLMs, RAG, vector databases, and AI orchestration frameworks.
  • Build modern user interfaces using Angular, Vue.js, or React.
  • Develop backend services using Java Spring Boot and Python.
  • Utilize AI coding assistants such as GitHub Copilot, Claude, Cursor, ChatGPT, or similar tools.
Required Experience
  • Strong hands-on experience in software development using Java and/or Python.
  • Strong frontend development experience using Angular, Vue.js, React, JavaScript, HTML, and CSS.
  • Experience developing backend applications using Spring Boot, REST APIs, and microservices.
  • Hands-on experience developing AI-powered applications and AI agents using LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel or similar frameworks.
  • Experience integrating applications with OpenAI, Azure OpenAI, Claude, Gemini, or equivalent LLMs.
  • Experience building conversational assistants, copilots, document processing solutions, workflow automation agents, and knowledge retrieval solutions.
  • Good understanding of Prompt Engineering, RAG patterns, vector databases, and AI orchestration frameworks.
  • Experience with SQL, NoSQL, Kafka, Azure Event Hub, and Azure Cloud.
  • Experience with unit testing, integration testing, CI/CD, and cloud-native development.
Preferred Qualifications
  • Experience with Azure AI Services, Azure OpenAI, or AI Foundry.
  • Experience deploying AI agents into production environments.
  • Knowledge of Docker and Kubernetes.

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  [email protected]. 

Skills Required

  • Strong hands-on software development experience using Java and/or Python
  • Strong frontend development experience with Angular, Vue.js, React, JavaScript, HTML, and CSS
  • Experience developing backend applications with Spring Boot, REST APIs, and microservices
  • Hands-on experience developing AI-powered applications and AI agents using LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks
  • Experience integrating applications with OpenAI, Azure OpenAI, Claude, Gemini, or equivalent LLMs
  • Experience building conversational assistants, copilots, document processing solutions, workflow automation agents, and knowledge retrieval solutions
  • Understanding of prompt engineering, RAG patterns, vector databases, and AI orchestration frameworks
  • Experience with SQL, NoSQL, Kafka, Azure Event Hubs, and Azure Cloud
  • Experience with unit testing, integration testing, CI/CD, and cloud-native development
  • Experience with Azure AI Services, Azure OpenAI, or AI Foundry
  • Experience deploying AI agents into production environments
  • Knowledge of Docker and Kubernetes

Maersk Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Maersk and has not been reviewed or approved by Maersk.

  • Healthcare Strength — Healthcare and medical coverage are presented as comprehensive across many locations, with core inclusion of medical care and insurance. Feedback suggests some regions add extras like annual health checks and strong insurance support.
  • Retirement Support — Retirement savings plans and employer contributions are part of the core package. Feedback suggests this area is a consistent strength even as details differ by country.
  • Parental & Family Support — Some locations offer paid maternity or adoption leave, flexible return-to-work arrangements, and childcare reimbursement. Feedback suggests family-oriented policies can be particularly generous where available.

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The Company
HQ: Copenhagen
38,151 Employees

What We Do

A.P. Moller - Maersk is an integrated transport and logistics company; going all the way, together, for our customers and society. ALL THE WAY is our commitment to connect the world so that everyone has both the possibility and the ability to trade, grow and thrive. The company employs roughly 80.000 employees across operations in 130 countries.

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