Senior Product Development AI Engineer

Job Summary

Required Qualifications

• •5+ years of experience
• •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
• •Enthusiastic approach to extending knowledge and learning new skills
• •Strong commitment to quality of work
• •Good attention to detail
• •Expert in Java 11/17
• •Expert in Spring Boot (REST APIs, microservices)
• •Expert in Microservices architecture (API contracts, versioning, service decomposition)
• •Expert in Angular 18+
• •Expert in NodeJS (micro frontends)
• •Expert in Scalable system design (event-driven, distributed systems)
• •Expert in Non-functional architecture (latency, security, observability)
• •Must have experience in End-to-end product delivery (UI–API–data–production support)
• •Expert in Software design patterns
• •Expert in RAG pipelines (chunking, embeddings, retrieval orchestration)
• •Expert in Prompt engineering (few-shot, structured outputs, guardrails)
• •Expert in AI assistants & agents (tool calling, workflows, memory patterns)
• •Expert in AI evaluation (Ragas, prompt testing, regression evaluation)
• •Expert in Production readiness (monitoring, alerting, incident response)
• •Expert in Debugging distributed systems (logs, tracing, root cause analysis)
• •Expert in Working with continuous integration environments
• •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)
• •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+
• •Focus on operational readiness (logging, metrics, tracing, alerting)
• •Implement AI integrations, including RAG patterns, embeddings, prompt orchestration, and prompt safety/guardrails
• •Build AI assistants and agent-based workflows embedded into product experiences
• •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
• •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
• •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)
• •Work on Cortellis umbrella of products like CCI, CDI, CTI and CRI
• •Work with Angular, NodeJS, Java, Spring Boot, Oracle, Postgres, Elastic Search, Coherence
• •Use microservices architecture and cloud-native tools/technologies that include EC2, S3, SQS
• •Work in IST hours
• •Full-time contract (9 hours per day, including 1 hour break)

Desired Qualifications

• •Experience in defining non-functional requirements