About Konovo
Konovo is a global healthcare intelligence company on a mission to transform research through technology- enabling faster, better, connected insights. We provide healthcare organisations with access to over 2 million healthcare professionals—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.
About the Role
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.
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
- 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
Why Join Konovo?
- Be part of a mission-driven organisation that is empowering life science researchers and data scientists with the broadest ecosystem of healthcare audiences and an intelligent, AI-enabled platform — so insights aren't just collected, they're connected.
- Join a fast-growing global team with opportunities for professional growth and advancement.
- Enjoy a collaborative and hybrid work environment that fosters innovation and flexibility.
- Experience a workplace that puts employees first, offering a workplace designed for growth, well-being, and balance.
- Become a part of an organisation that prioritizes your well-being with comprehensive benefits, including group medical coverage, accident insurance, and a robust leave policy. Our employee-centric policies ensure a rewarding and fulfilling work experience.
- Make a real-world impact by helping healthcare organisations innovate faster.