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

Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!

Security & Compliance
This role requires adherence to Saviynt's information security and privacy policies and procedures, including annual security training.

Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.