About the role
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
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
