Software Engineer, AI Agents

Role & Responsibilities

Take end-to-end ownership of critical backend services — from architecture and development to deployment and scale.

Design systems for performance, reliability, and observability. Identify bottlenecks and eliminate them proactively.

Collaborate with product and design to deeply understand user pain points and build the right solutions.

Work independently and own complex modules with minimal oversight.

Champion clean, maintainable code and help set a high bar for engineering excellence across the team.

Stay up-to-date with new tools, technologies, and backend trends — and bring the best ideas into our stack.

Ideal Candidate

2+ years of backend development experience, ideally with Kotlin and Spring Boot (or willingness to ramp up quickly).

You’ve worked in fast-moving teams and thrive when given room to figure things out.

You take initiative and can drive complex modules to completion without needing constant guidance.

Strong with both low-level and high-level design; you know how to build scalable, reliable RESTful APIs.

Proficient with relational databases and aware of common performance pitfalls.

Confident with debugging and optimizing — memory leaks, latency issues, and other hard-to-find problems don’t scare you.

You write clean, testable code and know how to leave systems better than you found them.

You bring a product mindset — caring not just about what’s built, but why and how it delivers value to users.

We are seeking a highly skilled and motivated Senior Software Engineer (AI/ML) to design, develop, and deploy cutting-edge AI solutions across our organisation. The ideal candidate will possess strong expertise in machine learning, natural language processing (NLP), and generative AI, along with solid experience in software engineering principles. This role requires a hands-on technologist who can collaborate with cross-functional teams to build scalable, high-performance AI systems that deliver measurable business impact.

The core responsibilities for the job include the following:

Technical Leadership:

• Lead end-to-end development and deployment of AI/ML models and applications.
• Design scalable, maintainable AI architectures and data pipelines.
• Provide technical mentorship to junior engineers and peers across data science and software engineering teams.

Solution Design and Development:

• Collaborate with product managers, architects, and business stakeholders to identify and define AI-driven solutions.
• Develop, evaluate, and optimise model training strategies, evaluation metrics, and deployment methods.
• Stay current with emerging AI/ML technologies, frameworks, and tools (e. g., PyTorch, TensorFlow, Hugging Face, and LangChain drive their adoption where relevant.

Project Management:

• Translate business requirements into actionable technical deliverables with defined timelines and milestones.
• Ensure code quality, scalability, and performance in production environments.
• Identify potential risks, implement mitigation strategies, and ensure timely delivery of AI solutions.

Collaboration and Communication:

• Work closely with DevOps, MLOps, and Data Engineering teams for seamless model integration and deployment.
• Effectively communicate complex AI concepts to both technical and non-technical stakeholders.

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of overall software engineering experience, with a minimum of 3 years in AI/ML development.

Mandatory Technical Skills:

• Proficiency in Python and Generative AI frameworks.
• Strong understanding of Retrieval-Augmented Generation (RAG), PyTorch, Large Language Models (LLMs), and AWS.
• Hands-on experience with AI/ML tools and libraries such as TensorFlow, Hugging Face, and LangChain.

Proven experience in:

• Deep Learning Frameworks: TensorFlow, PyTorch.
• NLP Models: Transformers, BERT, LLMs (GPT, LLaMA, Claude, etc. ).
• ML Lifecycle Tools: MLflow, Kubeflow, Vertex AI, Azure ML.
• Model Deployment: REST APIs, Docker, Kubernetes, Serverless Architectures.
• Cloud Platforms: AWS / Azure.
• Vector Databases: FAISS, Qdrant, Pinecone, and semantic search implementations.
• Strong programming expertise in Python, with familiarity in SQL, Scala, or Java as required.

Preferred Qualifications:

• Experience with Generative AI, LLM fine-tuning, or RAG-based systems.
• Understanding of Responsible AI practices, including bias detection, model explainability, and governance.
• Contributions to open-source AI/ML projects or publications in recognised AI research forums.

Programming Languages: Perl, java. Perl programming with strong OOPs knowledge.

UI: HTML, JS
System: Linux must have – good knowledge and shell scripting experience.
Prior experience in infrastructure automation, monitoring will definitely help.


Description:

The person in this role:


- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors

- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)
Preferred skills:

- Perl
- Shell scripting

- Unix

- Jenkins

Responsibilities:

• Crawl the internet/intranet for issues people are facing and convert them in to stuctured data that would be consumed downstream.
• Familiar with the software development life cycle (SDLC) from analysis to deployment.
• Comply with coding standards and technical design.
• Adapts structured coding styles for easy review, testing, and maintainability of the code.
• Integrate the developed functionality and/or component into a fully functional system.
• Ensure unit and integration level verification plans are in place and adheres to the great quality of code at all times.
• Actively participate in troubleshooting, debugging and updating current live system.
• Verify user feedback in making the system more stable and easy.
• Work closely with analysts, designers, and other peer developers.

Requirements:

• Bachelor's degree in computer science or equivalent practical experience.
• Understanding of OOPS concepts, Persistence, Threading.
• Good understanding of version control system (GIT).
• Knowledgeable in data structures and algorithms.
• A background in Engineering with sound oral and written communication skills.
• 6+ years of experience working on the server-side.
• Exposure to API designing, scalable architecture, and thorough understanding of systems.
• Great database modeling skills.
• Working knowledge of Databases, both relational (such as PostgreSQL) and in-memory database (such as Redis).
• Good understanding of web stack and how all the pieces fit together.
• Experience with open-source projects.
• Experience in designing interactive applications.

ABOUT THE JOB

We are looking for a Senior Software Engineer to join our team. We believe in giving engineers responsibility, not tasks. Our goal is to motivate and challenge people to do their best work. To do that, we have a very fluid structure and give people flexibility to work on projects that they enjoy the most. This develops more capable engineers, and keeps everyone engaged and happy.

Responsibilities

• Design, develop, test, deploy, maintain and improve the software.

• Manage individual projects priorities, deadlines and deliverables with your technical expertise.

• Identify and solve for bottlenecks within our software stack.

ABOUT YOU

Rubrik Software Engineers are self-starters, driven, and can manage themselves.  Bottom line, if you have a limitless drive and like to win, we want to talk to you - come make history! 

• Bachelor’s or Master’s degree or equivalent in computer science or related field
• 8+ years of relevant work experience, 
• Proficiency in one or more general purpose programming languages like Java, C/C++, Scala, Python
• Experience with Google Cloud Platform/AWS/Azure or other public cloud technologies is a plus
• Experience working with two or more from the following: Unix/Linux environments, Windows environments, distributed systems, networking, developing large software systems, file systems, storage systems, hypervisors, databases and/or security software development.

 ABOUT THE TEAM

Galactus team owns the end to end development of Rubrik’s data management suite for commercial public clouds - AWS, Azure and GCP. Our objective is to bring the simplicity of Rubrik’s on-prem data protection and management offerings to our customers in the cloud through a solution designed from ground up to be highly scalable, available & secure and yet optimized to minimize our customer’s cloud costs. We achieve this by taking a cloud-first approach to design - leveraging technologies built for the scale, elasticity and automation needs of the cloud; and deploying on our brand new SaaS platform called Polaris.

Recently we have :-

• Built policy based backup and recovery for Virtual Machines in AWS, Azure and GCP and managed databases in AWS.

• Built features like granular file recovery leveraging managed Kubernetes Service in AWS for elastic compute

 ABOUT RUBRIK

Rubrik is one of the fastest-growing companies in Silicon Valley, revolutionising data protection, and management in the emerging multi-cloud world. We are the leader in cloud data management, delivering a single platform to manage and protect data in the cloud, at the edge, and on-premises. Enterprises choose Rubrik to simplify backup and recovery, accelerate cloud adoption, enable automation at scale, and secure against cyberthreats. We’ve been recognized as a Forbes Cloud 100 Company two years in a row and as a LinkedIn Top 10 startup. 

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.