Software Engineer (Agentic AI)

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com. We are looking for a highly skilled and motivated Software Engineer to join our Agentic AI team within Saviynt’s Enterprise Identity Cloud. You will work on developing, optimizing, and deploying AI-driven solutions, focusing on building scalable products that leverage LLMs and orchestration frameworks. The role involves hands-on development, close collaboration with cross-functional teams, and delivering high-quality, secure, and observable systems in a multi-cloud environment. What You’ll Do: Architecture & Development: Contribute to the design and implementation of multi-agent AI workflows. Develop microservices and APIs with strong focus on scalability and resilience using Kubernetes and HPA. Implement observability (metrics, traces, logs) into all deployed systems. Collaborate with architects and principal engineers to enhance system reliability and compliance. LLM Engineering: Work with foundation models (GPT, Claude, Llama) to build domain- specific AI features.· Apply RAG and prompt engineering techniques for enterprise identity use cases.· Contribute to the development of cost-efficient inference pipelines with AWS Bedrock and Azure OpenAI. Cloud & Systems· Develop and deploy solutions in multi-cloud environments (AWS, Azure). Integrate with secure messaging and orchestration systems (Kafka, RabbitMQ, Istio).·Ensure systems follow security, compliance, and enterprise audit requirements. Collaboration & Growth: Work closely with cross-functional teams to translate product requirements into technical solutions. Participate in code reviews, knowledge sharing, and team discussions. Stay updated with emerging AI/ML frameworks and contribute to continuous improvement. What You Bring: 5–8 years of software engineering experience, with at least 2 years in AI/ML or large-scale enterprise systems. Strong programming skills in Python and experience with AI/ML frameworks (LangChain, LangGraph, Transformers). Hands-on experience in developing containerized applications (Docker, Kubernetes).·Exposure to observability frameworks (Prometheus, Grafana, ELK). Experience working with cloud services such as AWS and/or Azure.·Good understanding of scalable systems, HPA, and secure coding practices. Preferred Experience with AWS Bedrock or Azure OpenAI services. Knowledge of vector databases and semantic search.·Familiarity with Kafka, RabbitMQ, or service mesh (Istio).·Contributions to open-source AI or cloud projects. Tech Stack You’ll Work On Languages: Python, Java AI Frameworks: LangChain, LangGraph, Transformers loud Providers: AWS, Azure Databases: PostgreSQL, Redis Infra & Observability: Kubernetes, HPA, Grafana, Prometheus Messaging: Kafka, RabbitMQ