AI Software Engineer integrating commercial AI tools and agents into design flow at Broadcom. Responsible for optimizing performance and coordinating AI systems within a worldwide R&D team.
About the role
- Senior Software Engineer developing AI-driven solutions leveraging LLMs within Saviynt's Enterprise Identity Cloud. Focused on scalable systems, collaboration, and security in multi-cloud environments.
Responsibilities
- 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.
Requirements
- 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.
- Experience with AWS Bedrock or Azure OpenAI services (Preferred)
- Knowledge of vector databases and semantic search (Preferred)
- Familiarity with Kafka, RabbitMQ, or service mesh (Istio) (Preferred)
- Contributions to open-source AI or cloud projects (Preferred)
Benefits
- Opportunities to innovate with advanced AI frameworks
- Collaborate with talented engineers
- Contribute to scalable, secure systems serving some of the world’s largest enterprises
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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