{"id":999569,"url":"https://alion.io/job/clarivate-senior-product-development-ai-engineer","title":"Senior Product Development AI Engineer","company":{"id":5458,"name":"Clarivate","domain":"clarivate.com","url":"https://alion.io/company/clarivate","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":20,"ghost_share":0,"stale_share":0.65,"repost_share":0.05,"time_to_fill_p50_days":36,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":46},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Ragas","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Weaviate","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"ElasticSearch","optional":true},{"name":"JavaScript","optional":true},{"name":"PostgreSQL","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-07-03T00:00:00Z","employer_posted_date":"2026-07-03","last_verified_at":"2026-10-30T05:21:15Z","board_verified":true,"closed_at":null,"days_open":119,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":118},"description":"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.\nAbout You - experience, education, skills, and accomplishments\nStrong web-focussed development skills \nEffective communicator at all levels, excellent inter-personal skills, strong business focus \nHighly self-motivated, confident to work on projects alone as well as in a team \nAn enthusiastic approach to extending knowledge and learning new skills \nStrong commitment to quality of work and a good attention to detail\nExpert in\nJava 11/17, Spring Boot (REST APIs, microservices) \nMicroservices architecture (API contracts, versioning, service decomposition) \nAngular 18+, NodeJS (micro frontends) \nScalable system design (event-driven, distributed systems) \nNon-functional architecture (latency, security, observability) \nMust have experience in\nEnd-to-end product delivery (UI-API-data-production support) \nSoftware design patterns \nRAG pipelines (chunking, embeddings, retrieval orchestration) \nPrompt engineering (few-shot, structured outputs, guardrails) \nAI assistants & agents (tool calling, workflows, memory patterns) \nAI evaluation (Ragas, prompt testing, regression evaluation) \nProduction readiness (monitoring, alerting, incident response) \nDebugging distributed systems (logs, tracing, root cause analysis) \nWorking with continuous integration environments \nIt would be great if you also had\nAI integration (Azure OpenAI/OpenAI APIs) \nCI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps) \nVector databases (Azure AI Search, Pinecone, Weaviate, FAISS) \nResponsible AI (prompt injection defense, PII masking, policy enforcement) \nExperimentation (A/B testing, feature flags - Split.io) \nPlatform thinking (shared AI services, reusable components) \nWhat will you be doing in this role?\nProduct Development\nPartner with Product, BA, UX and architects to drive solution architecture, technical specifications, and delivery plans. \nDocument non-functional requirements (latency, availability, security, scalability, observability) and ensure features meet agreed targets. \nBuild microservices and RESTful APIs using Java 11/17 and Spring Boot; apply clean architecture principles, API versioning, backward compatibility, and secure-by-default patterns. \nBuild frontend components in Angular 18+ including state management, modular design, performance optimization, accessibility, and consistent UX patterns. \nFocus on operational readiness (logging, metrics, tracing, alerting).\nAI Development\nImplement AI integrations, including RAG patterns, embeddings, prompt orchestration, and prompt safety/guardrails. \nBuild AI assistants and agent-based workflows embedded into product experiences, including tool/function calling, multi-step reasoning flows, and user feedback loops. \nWrite and maintain high-quality prompts and system instructions; apply prompt engineering best practices, structured outputs, and robust error handling.\nDesign retrieval pipelines: chunking strategies, embedding selection, indexing approaches, and relevance tuning; choose and integrate vector databases as appropriate. \nEstablish evaluation (AI eval) practices: define success metrics, build offline/online evaluation datasets, implement regression tests, and monitor quality drift in production. \nEnsure responsible AI practices: data privacy, PII handling, prompt injection mitigation, content safety, and secure integration of model endpoints. \nOptimize AI feature performance with respect to latency and cost, batching, streaming responses, fallback strategies, and graceful degradation. \nCollaboration\nCommunicate trade-offs clearly to stakeholders; drive alignment on scope, milestones, quality bars, and risk mitigation. \nContribute to technical roadmap and platform improvements (developer experience, shared libraries, observability, security posture).\nProduct you will be developing\nOur team develop the product Cortellis and we develop features and enhancements on Cortellis umbrella of products like CCI, CDI, CTI and CRI\nAbout the Team\nCortellis 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.\nHours of Work\nFull-time contract (9 hours per day, including 1 hour break, IST hours)\nAt Clarivate, we are committed to providing equal employment opportunities for allqualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. 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