ML Engineer

About this role

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Skills you'll use

What you'll do

• Design and develop enterprise-grade GenAI applications.
• Build autonomous AI agents and multi-agent workflows.
• Develop RAG pipelines using vector databases and knowledge graphs.
• Integrate AI agents with enterprise applications such as GitHub, Jira, ServiceNow, databases, and REST APIs.
• Engineer prompts, memory, tools, and reasoning workflows for high-quality outcomes.
• Evaluate and optimize AI systems for latency, cost, accuracy, and hallucination reduction.
• Deploy scalable AI services using cloud-native technologies.
• Build observability, tracing, and monitoring for AI applications.
• Collaborate with product, platform, and engineering teams to deliver production-ready solutions.
• Stay current with the rapidly evolving AI ecosystem and contribute best practices.

Who can apply

• Docker, Kubernetes, GitHub Actions, OpenTelemetry
• Redis, Kafka, PostgreSQL
• Design and develop enterprise-grade GenAI applications.
• Build autonomous AI agents and multi-agent workflows.
• Develop RAG pipelines using vector databases and knowledge graphs.
• Integrate AI agents with enterprise applications such as GitHub, Jira, ServiceNow, databases, and REST APIs.
• Engineer prompts, memory, tools, and reasoning workflows for high-quality outcomes.
• Evaluate and optimize AI systems for latency, cost, accuracy, and hallucination reduction.

About Gradera

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