Location
Bengaluru, India
Workplace
On-site
Language
English
Posted
May 11, 2026
Last verified
May 31, 2026
JobGrid context
Role summary by JobGrid
Senior Software Engineer (Agentic AI) at saviynt: Bengaluru, India; On-site. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Bengaluru, India, On-site
- Source freshness: checked by JobGrid on 2026-05-31.
- Application path: candidates continue to the employer application page with non-personal referral tags.
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.
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
If required for this role, you will:
- Complete security & privacy literacy and awareness training during onboarding and annually thereafter
- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):
> Data Classification, Retention & Handling Policy
> Incident Response Policy/Procedures
> Business Continuity/Disaster Recovery Policy/Procedures
> Mobile Device Policy
> Account Management Policy
> Access Control Policy
> Personnel Security Policy
> Privacy Policy
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!
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.