Posted Apr 6, 2026
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—the largest network of its kind globally. With a workforce of over 200 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 Lead Applied AI Engineer to help advance the next chapter of Konovo’s AI-native platform. 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.
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
Experience working in product-focused engineering teams, not just research environments
Ability to balance innovation with product stability, cost discipline, and measurable business impact
Comfort explaining AI trade-offs and feasibility clearly to both technical and non-technical stakeholders
Experience working across timezones and collaborating with global teams
Bachelor’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Adaptability to thrive in a fast-changing environment while navigating challenges collaboratively. Bonus Points For Experience with:
Vector databases, retrieval-augmented generation (RAG), or model orchestration frameworks
Databricks, Snowflake, or modern lakehouse architectures
Healthcare, research, or data-intensive domains
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