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Konovo

Senior Applied AI Engineer

Bengaluru, Karnataka, India; Bengaluru, HybridHybrid · India
Senior · Technology
POSTED 26 SEPT
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Role
46 days opentrue age
Posted 26 Sept
Pay
₹30L–₹38.8Lno pay posted
Market p25–p75
₹30L–₹38.8L
Bengaluru · n=3 · 365d to 11 Nov
CompanyKonovo →
24open roles
Opened · 30d
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Closed · 30d
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30d window
Market
1,507open · Senior ML / AI
Opened · 7d
+1309% of open
All ml / ai
6,662open
All tracked boards · live 11 Nov · n=1,507
PythonAWSGCPAzureLLMs

Konovo is a global healthcare intelligence company on a mission to transform research through technology- enabling faster, better, connected insights.

Konovo provides healthcare organisations with access to over 2 million healthcare professionals and patients—the largest network of its kind globally. With a workforce of over 300 employees across 5 countries: India, Bosnia and Herzegovina, the United Kingdom, Mexico, and the United States, we collaborate to support some of the most prominent names in healthcare. Our customers include over 300 global pharmaceutical companies, medical device manufacturers, research agencies, and consultancy firms.

As we transition from a service-oriented model to a product-driven platform, we are expanding our hybrid Bengaluru based team. We are looking for a Senior Applied AI Engineer to help advance the next chapter of Konovo’s AI-native platform. You'll be joining the 5+ member AI Foundation team responsible for advancing our core AI platform. You'll be working with each of our product engineering teams to incorporate AI capabilities into each of the products they are responsible for.

AI is already embedded in our product and internal tooling. Your role will be to deepen, scale, and operationalise those capabilities across our platform, data systems, and engineering workflows with production reliability and enterprise discipline. You will partner with global engineering, data, and product teams to translate real business problems into production-ready AI solutions.

This is a hands-on role for someone who understands both the promise and limits of modern AI. You will design thoughtfully, build pragmatically, and ship responsibly. Your work will directly shape how our customers and employees experience AI at Konovo. You will operate in an environment where AI decisions impact enterprise customers globally and must meet high standards of reliability, compliance, and performance. AI is a strategic differentiator for Konovo. As a globally scaled healthcare intelligence company service hundreds of enterprise customers, AI at Konovo must accelerate innovation while protecting reliability, data integrity, and customer trust.

How You’ll Make an Impact:

  • Design, build, and deploy production-grade AI and LLM-powered features within our intelligent platform
  • Improve model performance, reliability, observability, and cost efficiency in enterprise-scale production environments
  • Collaborate with product and engineering teams to translate business requirements into scalable AI solutions
  • Advance our provider-agnostic AI architecture to enable secure access to multiple LLM ecosystems
  • Build internal AI tooling that enhances engineering productivity and broader employee workflows
  • Establish best practices for model evaluation, prompt engineering, testing, and governance
  • Ensure responsible AI implementation aligned with data privacy, security, and compliance standards
  • Design AI systems with strong guardrails around privacy, auditability, global regulatory requirements, and long-term maintainability
  • Contribute to architectural decisions as we evolve our modern data stack and AI platform capabilities
  • Mentor engineers and raise the technical bar for applied AI across the team
  • Evaluate emerging AI capabilities rigorously, adopting what delivers measurable value while avoiding unnecessary complexity or hype

What We’re Looking For:

  • A proactive and strategic thinker with strong analytical and problem-solving skills.
  • 5+ years of experience building and deploying AI/ML systems in production environments
  • Strong hands-on experience with LLM integration, prompt engineering, model evaluation, and performance optimisation
  • Experience building AI systems where reliability, compliance, and uptime are business-critical
  • Proficiency in Python and experience working with modern AI frameworks and libraries
  • Experience building systems in cloud environments such as AWS, Azure, or GCP. AWS preferred.
  • Strong understanding of data architecture, APIs, and scalable backend systems
Source · KonovoFirst seen 7 NovOriginal ↗