Senior Software Engineer, Agentic AI

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 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.

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.