Senior Software Engineer (Backend) - AI Engineer

Job Description

Who we are Were a leading, global security authority thats disrupting our own category. Our encryption is trusted by the major ecommerce brands, the worlds largest companies, the major cloud providers, entire country financial systems, entire internets of things and even down to the little things like surgically embedded pacemakers. We help companies put trust - an abstract idea - to work. Thats digital trust for the real world. Job summary We are seeking an experienced Senior Software Engineer to join our dynamic and innovative team. As a Senior Software Engineer, you will be a key contributor to the design, development, and maintenance of our platforms. You will work closely with cross-functional teams to deliver high-quality software that meets the needs of our customers. What you will do Collaborate with product managers, UX designers and architects to understand project requirements and technical specifications. Design, develop, test, and maintain software applications, ensuring they meet high-quality standards and performance benchmarks. Write clean, efficient, and maintainable code, in accordance with coding standards and best practices. Conduct code reviews to increase code quality, consistency, and alignment with the product design and architecture. Analyze, troubleshoot, and debug product defects and provide timely solutions to customer issues. Stay up to date on emerging technologies and industry trends to continuously improve software development processes and tools. Contribute to architectural decisions and help drive technical innovation within the team. What you will have Bachelors degree in computer science, Software Engineering, or a related field (or equivalent experience). 5+ years of professional experience in a software development role. Proficiency in Java and Python and a strong grasp of software development principles. Design, build, and deploy LLM-powered applications using modern AI frameworks like LangChain or LlamaIndex. Experience in GenAI product development, with a focus on RAG (Retrieval-Augmented Generation) techniques and exposure building and integrating AI agents. Knowledge in TensorFlow, PyTorch, LangChain, OpenAI APIs, and NLP libraries. Experience developing and deploying AI applications including chatbots, virtual assistants and other NLP powered tools. Experience in Data analytics, Datawarehouse and Datalake tools. Experience with any of the cloud computing platforms (AWS, Azure, Google Cloud, Oracle OCI) is a plus. Develop, fine-tune and deploy LLM-based solutions using Azure cognitive services and tools. Knowledge of MLOps, CI/CD pipelines for AI models and model monitoring. Expertise developing, consuming, and evolving RESTful web services. Experience with CI/CD tools(Github, Azure Devops, Jenkins, Gitlab,etc). Experience in using Blackduck, SonarQube, FOSSA or similar tools. Knowledge of both relational (MySQL, MariaDB) and NoSQL/non-relational databases. Proficiency in containerization with Docker and expertise in container orchestration utilizing Kubernetes and Helm. Experience with software development methodologies, such as Agile or Scrum. Exceptional problem-solving skills and the ability to analyze and address complex technical issues. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience building cloud native applications, services-based architecture, DevSecOps principles and continuous deployment. Application of secure coding practices and methodologies. A passion for unit testing and consistently delivering high-quality code. Good to have knowledge of tools - Gradle/Maven. Nice to have Good knowledge of PKI, Cryptography and Code Signing would be an added advantage. Benefits Generous time off policies Top shelf benefits Education, wellness and lifestyle support #LI-CL1