Lead Product Development AI Engineer
On-siteBengaluru, Karnataka, India
Job Summary
Design and build microservices and RESTful APIs using Java 11/17 and Spring Boot while leading frontend architecture in Angular 18+. Drive end-to-end product delivery for Cortellis features, partnering with Product, BA, and UX to define solution architecture and non-functional requirements. Implement AI integrations including RAG pipelines, prompt orchestration, and agent-based workflows, ensuring responsible AI practices like PII masking and prompt injection defense. Establish evaluation metrics and monitor quality drift in production while optimizing for latency and cost. Mentor engineers on full-stack patterns and contribute to the technical roadmap for Clarivate's Life Sciences domain.
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)
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.