rippling
Applied AI Engineer
NeoSigma
Bengaluru, IND
Contract
Mid
Onsite
Discovered 3 weeks ago
Free
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What you'll do
Design and implement scalable infrastructure for custom AI evaluation systems
Build tools and platforms for agentic workflows and alignment techniques
Develop data processing pipelines for evaluation datasets and feedback loops
Create APIs and interfaces for real-world agent deployment and monitoring
Optimize performance and cost of cloud-based ML workloads
Contribute to open-source projects and research implementations
Qualifications
- Strong experience building large-scale LLM-powered or agentic systems in production environments
- Strong research taste, especially in evaluation design, post-training methods, and model improvement workflows
- Desire to own problems end-to-end and deliver measurable outcomes
- Ability to work directly with customers
- Obsession with detail, code quality, and clean, modular system design
- Strong ownership mentality and ability to thrive in a fast-paced startup environment
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Our Core Values
Customer Obsession - We start with the customer and work backwards. We aim to earn trust through consistent delivery, thoughtful listening, and by obsessing over customers.
Intellectual Honesty - We operate with high trust and low ego. Ideas matter more than titles, and we communicate openly and directly while assuming good intent, even in strong disagreement.
Bias for Action - We set high standards and move quickly to meet them. We prefer building and learning with customers over debating in the abstract, and we iterate based on real feedback.
Extreme Ownership - We take responsibility for outcomes, not just tasks. Ownership means seeing problems through to completion and ensuring solutions truly work in practice.
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