Nirmata→
AI Software Engineer Intern at Nirmata in San Jose, Hybrid
InternshipHybridSan Jose, Hybrid
Skills
machine learningdata scienceai agentsmcp serverslarge language modelsgenerative airetrieval-augmented generationmodel tuningslms model designslms fine-tuningkubernetescloud native technologies
Job Description
Summary: Nirmata is a company focused on accelerating the adoption of cloud native technologies for enterprises. They are seeking an AI/ML Software Engineer Intern to define and implement the AI/ML infrastructure for their Policy Management platform and contribute to the development of AI-powered features.
Responsibilities:
- Define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform
- Contribute to the development of AI-powered features
Required Qualifications:
- Bachelor's or Master's degree student in Computer Science or a related field
- Focus on machine learning and data science
- AI Agents
- MCP Servers
- Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning
- Familiarity with SLMs: model design and fine-tuning
- Interested in Kubernetes and cloud native technologies
Required Skills: Machine Learning, Data Science, AI Agents, MCP Servers, Large Language Models, Generative AI, Retrieval-Augmented Generation, Model Tuning, SLMs Model Design, SLMs Fine-Tuning, Kubernetes, Cloud Native Technologies
Benefits: Hands-on experience with real-world software development projects, Mentorship from experienced software engineers., An inclusive and collaborative work environment., Opportunity to be part of an early stage startup., Opportunities to contribute to a cutting-edge SaaS platform, featuring microservices in Java and Go, orchestrated with Kubernetes, utilizing MongoDB for no-SQL data storage, and leveraging Kafka for event processing
Benefits
Hands-on experience with real-world software development projects
Mentorship from experienced software engineers.
An inclusive and collaborative work environment.
Opportunity to be part of an early stage startup.
Opportunities to contribute to a cutting-edge SaaS platform, featuring microservices in Java and Go, orchestrated with Kubernetes, utilizing MongoDB for no-SQL data storage, and leveraging Kafka for event processing