Senior Applied AI Engineer
- Level
- Senior
Not stated in the posting: salary, work type, visa.
Open. First seen 2 October 2026.
About the role
Konovo's standard text
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
- 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.
This is just the beginning of what we can accomplish together. Join us at Konovo and help shape the future of healthcare technology!
Konovo's standard text
Apply now to be part of our journey.
What this role asks for
Particular to this role
Prompt Engineering · RAG · Snowflake · Vector Databases
Rare in Konovo's other 9 open postings.
Standard for data science / ML roles
LLM · Machine Learning · Python
Common in data science / ML postings at any company.
97% of this description is written for the role. The rest is Konovo's standard text, folded away below.
Read against Konovo's other open postings on this site.
The team: Technology HIRES STEADILY
This role is one of 7 open in Technology. 3 were posted in the last 30 days and the oldest in May: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
AWS (6 of 7), CI/CD (5 of 7), Azure (4 of 7), GCP (4 of 7), JavaScript (4 of 7), Databricks (3 of 7), GitHub (3 of 7)
OTHER ROLES ON THIS TEAM
- Engineering Manager posted Oct 16
- Salesforce Engineer posted Oct 16
- Principal Software Architect posted Jul 10
- Senior QA Engineer posted Jul 10
- Data Engineer posted Jul 2
- Lead Quality Assurance Engineer posted May 22
From the team and dates on Konovo's own job board.
Salary context
14 other open postings titled Senior Applied AI Engineer state a salary: median USD 190,000 to USD 250,000 a year.
Similar jobs
- Senior Software Engineer - Data Science & AI at Euromonitor
Shares 8 skills: Vector Databases, RAG, GCP… · Senior level · same city - AI Engineer III – Agentic Platform at Amtech Software
Shares 8 skills: Vector Databases, Prompt Engineering, RAG… · Senior level · same city - Lead AI Engineer at Egon Zehnder
Shares 9 skills: Vector Databases, Prompt Engineering, RAG… · same country - Senior Software Engineer - Food at Cargill
Shares 9 skills: Vector Databases, Prompt Engineering, RAG… · Senior level · same city - AI / MLOps Platform Engineer at Vriba LLC
Shares 8 skills: Vector Databases, Prompt Engineering, RAG… · same city - Engineering Manager at Konovo
Also at this company
Is this your posting and you want it taken down? Email info@careerholo.com.