Software Engineer - Java

About The Role

We are seeking a Software Engineer with 2–4 years of experience building high-performing, scalable, enterprise-grade applications, along with strong knowledge of and interest in applying AI to real-world problems. In this role, you will work on developing intelligent, creative AI agents for digital advertising use cases to generate, optimize, and personalize digital ads using Generative AI technologies.

What You'll Do

• Collaborate with engineers, architects, product managers, and UX designers to develop innovative AI solutions for new customer use-cases.
• Work independently and iterate quickly based on customer feedback to make product tweaks.
• Participate in software design meetings and write technical design documents.
• Responsible for writing unit tests, integration tests, refactoring, and documentation.
• Understand and maintain the existing codebase by regular refactoring and applying requested fixes and features.
• Experience working within a fast-paced Agile development process.
• Maintain application stability by monitoring key metrics and improving the code base accordingly.
• Should be flexible to learn new technologies and frameworks.
• Troubleshoot complex issues discovered in-house as well as in customer environments.
• End-to-end ownership of designing solutions for feature requirements, planning, and monitoring its execution and release.
• Conduct feasibility analysis and produce functional and design specifications of proposed new features.
  
  

We'd Love for You to Have

• Should have excellent knowledge of OOP concepts and data structures.
• Should have strong knowledge of AI tools and techniques.
• Being able to use generative AI based tools and IDE for getting work done.
• Understanding of different models at basic level.
• Should know large language models (LLMs) fundamentals and have hands-on experience using them.
• Should know advanced Prompt Engineering.
• Experience in building AI agents with retrieval-augmented generation (RAG).
• Should know about Evals.
• Should know Vector DB and different algorithms of Vector DB.
• Should have working knowledge of designing and running evaluation frameworks (evals) that test the quality, accuracy, and usefulness of code generated by AI models.
• Good knowledge of databases, preferably MySQL, and familiarity with NoSQL DBs.
• Working experience of tools/technologies like Kubernetes, Jenkins, Maven, GIT, Docker, etc.
• Good knowledge of Linux OS is preferred.
• Nice to have knowledge and hands-on experience of any of the scripting languages such as Shell Script, Python, PHP.
• Familiarity with refactoring, code reviews, continuous integration/delivery, and Agile development practices.
• Experience in building AI agent with Graphs will be an additional advantage.
• Experience with training a small base LLM model with custom data will be an additional advantage.
• Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities.
  
  

Additional Information

Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.

Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!

Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

About PubMatic

PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.

Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.