Senior Applied AI Engineer
Konovo (company site, opens in a new tab)5+ yrsBengaluruHybridDirect career pageEst. 22–40 LPA
Posted on 26 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy production-grade AI and LLM-powered features within a global healthcare intelligence platform.
- Improve AI model performance, reliability, observability, and cost efficiency at enterprise scale while ensuring compliance with security and privacy standards.
- Partner with global engineering, data, and product teams to translate business needs into scalable, secure AI solutions and advance AI platform architecture.
Minimum Requirements
- 5+ years of experience building and deploying AI/ML systems in production environments.
- Proficiency in Python and hands-on experience with LLM integration, prompt engineering, and model performance optimization.
- Experience working in cloud environments (AWS preferred) with strong understanding of data architecture and scalable backend systems.
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Ideal Candidate Profile
- Experienced in production AI systems where reliability, uptime, compliance, and data privacy are critical in enterprise or healthcare contexts.
- Skilled in cross-functional collaboration with product and engineering teams in a product-driven environment rather than purely research-focused.
- Balances innovation with practical considerations like product stability, cost management, and measurable business impact in global, distributed teams.