Senior Product Development AI Engineer

Posted 5 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Analytics
The Role
Build and deliver customer-facing full-stack product features using Java, Spring Boot, Angular, and Node.js. Develop production-grade GenAI capabilities including RAG pipelines, AI assistants, agents, prompt orchestration, evaluation, and responsible AI controls. Define non-functional requirements, design microservices and APIs, optimize latency and cost, and ensure operational readiness through monitoring, observability, alerting, and incident response. Collaborate with product, UX, architecture, and business stakeholders on technical roadmaps and delivery.
Summary Generated by Built In

We are seeking a Senior Product Development AI Engineer – Full Stack with 5+ years of experience who can drive end-to-end product delivery while operating GenAI, agentic AI and MCP capabilities in production. This role is hands-on: you will build customer-facing features across frontend and backend, define non-functional requirements, and ensure AI integrations are safe, reliable, measurable, and cost-effective. 

About You – experience, education, skills, and accomplishments  

  • 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 
  • 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 

It would be great if you also had

  • AI integration (Azure OpenAI/OpenAI APIs) 
  • 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) 

What will you be doing in this role? 

Product Development 

  • Partner with Product, BA, UX and architects to drive solution architecture, technical specifications, and delivery plans.  
  • Document non-functional requirements (latency, availability, security, scalability, observability) and ensure features meet agreed targets.  
  • Build microservices and RESTful APIs using Java 11/17 and Spring Boot; apply clean architecture principles, API versioning, backward compatibility, and secure-by-default patterns.  
  • Build frontend components in Angular 18+ including state management, modular design, performance optimization, accessibility, and consistent UX patterns.  
  • Focus on operational readiness (logging, metrics, tracing, alerting).

AI Development 

  • Implement AI integrations, including RAG patterns, embeddings, prompt orchestration, and prompt safety/guardrails.  
  • Build AI assistants and agent-based workflows embedded into product experiences, including tool/function calling, multi-step reasoning flows, and user feedback loops.  
  • Write and maintain high-quality prompts and system instructions; apply prompt engineering best practices, structured outputs, and robust error handling.
  • Design retrieval pipelines: chunking strategies, embedding selection, indexing approaches, and relevance tuning; choose and integrate vector databases as appropriate.  
  • Establish evaluation (AI eval) practices: define success metrics, build offline/online evaluation datasets, implement regression tests, and monitor quality drift in production.  
  • Ensure responsible AI practices: data privacy, PII handling, prompt injection mitigation, content safety, and secure integration of model endpoints.  
  • Optimize AI feature performance with respect to latency and cost, batching, streaming responses, fallback strategies, and graceful degradation.  

Collaboration 

  • Communicate trade-offs clearly to stakeholders; drive alignment on scope, milestones, quality bars, and risk mitigation.  
  • Contribute to technical roadmap and platform improvements (developer experience, shared libraries, observability, security posture).    

Product you will be developing

Our team develop the product Cortellis and we develop features and enhancements on Cortellis umbrella of products like CCI, CDI, CTI and CRI

About the Team   

Cortellis is Clarivate’s flagship product in Life Sciences domain. Cortellis customers include top 50 global pharmaceutical companies, amongst many others. The technology team for Cortellis sits out of Bengaluru and consists of four different squads that work on development of new features using latest technologies. Our tech stack includes Angular, NodeJS, Java, Spring Boot, Oracle, Postgres, Elastic Search, Coherence etc. We use microservices architecture and cloud-native tools/technologies that include EC2, S3, SQS etc.

Hours of Work  

Full-time contract (9 hours per day, including 1 hour break, IST hours) 

At Clarivate, we are committed to providing equal employment opportunities for all  qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Skills Required

  • Strong web-focused development skills
  • Java 11 or 17 expertise
  • Spring Boot, REST APIs, and microservices expertise
  • Microservices architecture, including API contracts, versioning, and service decomposition
  • Angular 18+ and Node.js experience
  • Scalable system design using event-driven and distributed systems
  • Non-functional architecture covering latency, security, and observability
  • End-to-end product delivery from UI through API, data, and production support
  • Software design patterns experience
  • RAG pipelines, including chunking, embeddings, and retrieval orchestration
  • Prompt engineering, including few-shot prompting, structured outputs, and guardrails
  • AI assistants and agents, including tool calling, workflows, and memory patterns
  • AI evaluation using Ragas, prompt testing, and regression evaluation
  • Production readiness, including monitoring, alerting, and incident response
  • Distributed-systems debugging using logs, tracing, and root-cause analysis
  • Experience working with continuous integration environments
  • Effective communication and interpersonal skills
  • Ability to work independently and collaboratively
  • Strong commitment to quality and attention to detail
  • AI integration experience with Azure OpenAI or OpenAI APIs
  • CI/CD pipeline experience with GitHub Actions, Jenkins, or Azure DevOps
  • Experience with vector databases such as Azure AI Search, Pinecone, Weaviate, or FAISS
  • Responsible AI experience, including prompt-injection defense, PII masking, and policy enforcement
  • Experimentation experience with A/B testing, feature flags, or Split.io
  • Platform thinking involving shared AI services and reusable components

Clarivate Analytics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarivate Analytics and has not been reviewed or approved by Clarivate Analytics.

  • Strong & Reliable Incentives — Incentives in sales and select product/tech roles provide meaningful upside for high performers, with commission structures boosting total compensation when targets are exceeded. Role-linked variable pay is a clear strength in revenue-driving positions.
  • Leave & Time Off Breadth — PTO is ample in the U.S., with paid parental leave available, making time-off policies a notable part of the package. Generous vacation and holiday allowances stand out as positives.
  • Wellbeing & Lifestyle Benefits — Hybrid and remote options are common and paired with a formal wellbeing framework and EAP, supporting work–life balance. Core medical, dental, and vision coverage is broadly available in the U.S., reinforcing everyday wellbeing support.

Clarivate Analytics Insights

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The Company
HQ: London, PA
10,549 Employees

What We Do

Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com.

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