Job Summary

We are looking for a Senior Software Engineer - AI/ML with strong hands-on experience in Artificial Intelligence and Machine Learning, particularly in designing and developing complex, production-level AI/ML solutions.

The ideal candidate should have practical experience taking AI/ML solutions from concept or prototype through to production deployment, with a strong understanding of model integration, AI/ML workflows, scalability, performance, and reliability.

Experience in API development and software engineering is also required, but this will be a secondary focus compared to hands-on AI/ML expertise.

Key Responsibilities

- Design, develop, deploy, and maintain production-grade AI/ML solutions for complex business and technical use cases.
- Develop and implement AI/ML solutions using appropriate models, frameworks, tools, and technologies.
- Work with Generative AI, Large Language Models (LLMs), and AI/ML applications where applicable.
- Develop solutions involving RAG, embeddings, vector databases, prompt engineering, model integration, and AI workflows.
- Build and integrate AI/ML capabilities into enterprise applications and existing technology ecosystems.
- Evaluate and optimize AI/ML solutions for accuracy, performance, scalability, reliability, and cost.
- Work with large and complex datasets and apply appropriate machine learning techniques to solve real-world problems.
- Develop and maintain REST APIs and services to expose and integrate AI/ML capabilities with enterprise applications.
- Integrate AI/ML solutions with databases, external services, enterprise applications, and other data sources.
- Write clean, maintainable, testable, and production-ready code.
- Participate in architecture discussions, code reviews, testing, CI/CD, deployment, and production support.
- Troubleshoot and resolve issues related to AI/ML models,



applications, integrations, and production environments.
- Collaborate with engineering, product, architecture, and business teams to deliver scalable AI/ML solutions.
- Contribute to technical standards, best practices, and continuous improvement of AI/ML engineering processes.

Required Skills Qualifications

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- Robust professional experience in AI/ML engineering, with proven hands-on experience building and deploying production-level AI/ML solutions.
- Experience working on complex, real-world AI/ML use cases rather than only prototypes, POCs, or academic projects.
- Strong programming skills in Python. Experience with Java, C#, or TypeScript is an added advantage.
- Strong understanding of machine learning concepts, algorithms, model development, evaluation, and deployment.
- Hands-on experience with relevant AI/ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, or similar.
- Experience with Generative AI and LLM-based applications is preferred.
- Experience with concepts such as RAG, embeddings, vector search, prompt engineering, LLM integration, and model evaluation is an advantage.
- Experience developing and integrating REST APIs using frameworks such as FastAPI, Flask, Spring Boot, .NET, or similar.
- Understanding of software engineering principles, application architecture, scalability,



and performance.
- Experience working with cloud platforms such as Azure, AWS, or GCP.
- Experience with databases such as PostgreSQL, MongoDB, or other relational/NoSQL databases.
- Familiarity with Docker, Kubernetes, CI/CD, automated testing, and production deployment practices is preferred.
- Strong problem-solving, analytical, and communication skills.

Preferred Qualifications

- Experience building and deploying enterprise-scale AI/ML applications.
- Experience with Generative AI, LLMs, and Agentic AI solutions.
- Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
- Experience with AI agents, tool/function calling, workflow orchestration, and multi-step AI workflows.
- Familiarity with MCP, AI guardrails, LLM evaluation, AI observability, and Responsible AI.
- Experience integrating AI/ML solutions with enterprise APIs, databases, and business applications.
- Experience with AI/ML model optimization, monitoring, and production support.
- Cloud or AI/ML certifications are a plus.

What We're Looking For We are primarily looking for a strong hands-on AI/ML engineer who has experience solving complex, production-level AI/ML problems and delivering reliable solutions in an enterprise environment.

The ideal candidate should be comfortable working across the AI/ML lifecycle - from understanding the business problem and developing the solution to deployment, optimization, monitoring, and production support.

Experience in API development and broader software engineering is important, but it is considered a secondary requirement. The primary differentiator for this role will be the candidate's depth of practical AI/ML experience and their ability to build and productionize complex AI/ML solutions.

📌 Senior Software Engineer ( AI/ML) (Bengaluru)
🏢 A.P. Moller - Maersk
📍 Bengaluru