Full Stack Engineer (Java +AI)

Must-Haves are mandatory. Strong Pluses differentiate top candidates. 1) Core Full Stack Engineering (Must-Have) Java Backend 5-8+ years in Java (Java 11+) Spring Boot, Spring MVC, Spring Data/JPA

REST API

design, pagination, error handling, versioning Authentication/Authorization (OAuth2/OIDC/JWT) Relational DB (PostgreSQL/MySQL/Oracle), schema design, indexing, query optimization Messaging/Async (Kafka/RabbitMQ) - nice to have Performance tuning and profiling (memory/threads/GC) Frontend Angular (v12+) with TypeScript, RxJS, state management (NgRx or equivalent) Component-driven architecture, lazy loading, modularization Responsive UI, accessibility basics (ARIA) API integration, interceptors, error & retry strategies Mobile (either one) Native Android (Kotlin/Java) or cross-platform (Flutter or React Native) Secure storage, background tasks, offline sync, deep links Build & release pipelines to app stores (if applicable) AI Proficiency & "Scaffolding" (Must-Have) AI Integration Consumed LLM APIs (Azure OpenAI/OpenAI, AWS Bedrock, Google Generative AI) from Java services Designed a clean AI service layer (abstractions to swap models/providers) Exposed AI via REST/GraphQL endpoints to Angular/mobile clients Prompt/Context Management Prompt templates (system/user/developer roles) with versioning/config Dynamic context injection (user/session/business context) Token window management & truncation strategies Guardrails & Validation Output schema enforcement (JSON schema, regex/tagged formats) Safety filters (toxicity, PII redaction) & prompt injection mitigation Confidence/uncertainty handling; human-in-the-loop patterns Orchestration & Patterns Pre/post-processing pipelines, multi-step chains RAG familiarity (vector stores, embeddings) as user of services (not researcher) Fallbacks, retries, circuit breakers; graceful degradation when AI fails/timeouts Cost, Performance, Observability Token/cost tracking and optimization (model choice, prompt size, caching) Streaming vs. non-streaming responses; async processing Metrics/logging for AI calls (latency, error rates, usage) Frontend UX for AI Chat/assistant patterns (streamed tokens, partial updates) Editable AI suggestions, retry/fallback UX, hallucination disclaimers Salary Range-$100,000-$140,000 a year #

LI-KR3 TCS

Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage:

Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support:

Maternal & Parental Leaves.

Insurance Options:

Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth:

Commuter Benefits & Certification & ; Training Reimbursement.

Time Off:

Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance:

Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.