Senior Software Development Engineer - AI

Requirements:
4-7 years of hands-on experience in software development with strong expertise in Java (preferably Java 21), microservices, and REST APIs.
Experience with frameworks such as Spring Boot, Quarkus, and Hibernate, and understanding of backend/frontend technologies.
Strong knowledge of cloud-native development on AWS (Lambda, EC2 S3 Kubernetes, Docker, etc. ).
Understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI orchestration concepts.
Experience integrating enterprise AI services and AI APIs into business applications.
Knowledge of AI agent architectures, intelligent workflow automation, and modern AI application patterns.
Understanding of ontology, semantic models, metadata-driven architectures, knowledge graphs, and enterprise knowledge management concepts.
Understanding of AI evaluation techniques, prompt engineering, model selection, and AI application observability.
Knowledge of Responsible AI principles includes fairness, transparency, explainability, privacy, accountability, and compliance.
Experience designing and implementing microservices architectures and serverless solutions.
Proficiency in CI/CD, DevOps practices, and tools (GitLab CI, Maven/Gradle, Nexus, SonarQube, and Veracode).
Strong expertise in relational (Postgres, MySQL, Aurora) and NoSQL databases (DynamoDB, MongoDB, Redis), including query optimization.
Solid understanding of authentication/authorization mechanisms (OAuth 2.0 OpenID Connect, IAM).
Experience in monitoring, debugging, and troubleshooting production systems.
Strong commitment to code quality, test automation (JUnit/PyTest), and secure coding practices.
Understanding of AI security risks, including prompt injection, jailbreak attacks, adversarial inputs, model abuse, sensitive data exposure, and AI governance controls.
Ability to implement AI guardrails, monitoring, auditability, and secure AI application development practices.
Proven ability to mentor developers, perform code reviews, and drive engineering excellence.
Hands-on experience with Agile methodologies and the end-to-end software development lifecycle.
Excellent problem-solving skills, strong ownership mindset, and ability to work in a fast-paced environment.
Embraces diverse people, thinking, and styles.
Consistently makes the safety and security of self and others the priority.

Experience
4-7 yrs