Posted:5 days ago|
Platform:
On-site
Full Time
Job Specification: Senior Software Engineer Agentic AI Systems
Saviynt's Enterprise Identity Cloud helps modern enterprises scale cloud
initiatives and solve the toughest security and compliance challenges in
record time. The company brings together identity governance (IGA),
granular application access, cloud security, and Privileged Access
Management (PAM) to secure the entire business ecosystem and provide a
frictionless user experience. The world's largest brands trust Saviynt to
accelerate digital transformation, empower distributed workforces, and
meet continuous compliance. We are a distributed global R&D team that is
extremely focused on building a platform that solves the toughest security
and compliance challenges while helping Saviynt maintain its leadership
position in delivering enterprise identity cloud solutions.
We are looking for a highly skilled and motivated Senior 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.
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.
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.
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.
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.
58 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.
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.
Languages: Python, Java
AI Frameworks: LangChain, LangGraph, Transformers
loud Providers: AWS, Azure
Databases: PostgreSQL, Redis
Infra & Observability: Kubernetes, HPA, Grafana, Prometheus
Messaging: Kafka, RabbitMQ
At Saviynt, you'll work on cutting-edge Agentic AI solutions that redefine
enterprise identity and access management. You'll have opportunities to
innovate with advanced AI frameworks, collaborate with talented engineers,
and contribute to scalable, secure systems serving some of the world's
largest enterprises.
Saviynt
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