Lead Product Development AI Engineer
On-siteBengaluru, Karnataka, India
Job Summary
Design technical specifications and deliver plans for Cortellis features, partnering with Product, BA, and UX to derive solution architectures. Build microservices and RESTful APIs using Java 11/17 and Spring Boot, while leading frontend architecture in Angular 18+. Implement AI integrations including RAG pipelines, prompt engineering, and agent-based workflows, ensuring responsible AI practices like PII masking and prompt injection defense. Own end-to-end delivery from design through production monitoring, managing risks and driving engineering excellence via code reviews and operational readiness. Mentor engineers on full-stack patterns and contribute to the technical roadmap for Clarivate's Life Sciences flagship product.
Required Qualifications
- Bachelor's degree in engineering or master's degree (BE, ME, B Tech, MTech, MCA, MS)
- Minimum 7+ years of professional experience
- Solid development experience in a commercial IT environment
- Passionate about code and software architecture
- Strong web-focussed development skills
- Effective communicator at all levels, excellent inter-personal skills, strong business focus
- Highly self-motivated, confident to work on projects alone as well as in a team
- An enthusiastic approach to extending knowledge and learning new skills
- Strong commitment to quality of work and a good attention to detail
- Expert in Java 11/17, Spring Boot (REST APIs, microservices)
- Microservices architecture (API contracts, versioning, service decomposition)
- Angular 18+, NodeJS (micro frontends)
- Scalable system design (event-driven, distributed systems)
- Non-functional architecture (latency, security, observability)
- Must have experience in End-to-end product delivery (UI–API–data–production support)
- Software design patterns
- AI integration (Azure OpenAI/OpenAI APIs)
- RAG pipelines (chunking, embeddings, retrieval orchestration)
- Prompt engineering (few-shot, structured outputs, guardrails)
- AI assistants & agents (tool calling, workflows, memory patterns)
- AI evaluation (Ragas, prompt testing, regression evaluation)
- Production readiness (monitoring, alerting, incident response)
- Debugging distributed systems (logs, tracing, root cause analysis)
- Working with continuous integration environments
- CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps)
- Vector databases (Azure AI Search, Pinecone, Weaviate, FAISS)
- Responsible AI (prompt injection defense, PII masking, policy enforcement)
- Experimentation (A/B testing, feature flags – Split.io)
- Platform thinking (shared AI services, reusable components)
- Full-time contract (9 hours per day, including 1 hour break, IST hours)
Desired Qualifications
- Master's degree (BE, ME, B Tech, MTech, MCA, MS)
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