Experience required: 5-8 Yrs
Skills: Java, Full Stack, Angular, AI full stack, angular java, AI developer, Vector DB, Ai Techniques, Artificial Intelligence, Ai Solutions, Spring Boot, Java Fullstack, LLM, Orchestrator, Microservices, java angular, AI engineer, RAG, Retrieval Augmented Generation, AI Orchestration

Job Description: Engineer AI

Role Overview

Hands-on engineering role focused on building AI-enabled enterprise features
Work with LLMs, orchestration frameworks, and microservices architecture
Deliver production-grade AI solutions integrated into enterprise systems

Key Responsibilities

Build AI-powered features such as automation and intelligent recommendations
Develop natural language interfaces for enterprise workflows
Integrate LLM APIs (OpenAI, Azure OpenAI, Anthropic)
Design orchestration workflows using LangChain, LangGraph, Spring AI
Implement RAG pipelines with vector databases (PGVector, Pinecone, Weaviate, FAISS)
Develop microservices using Java, Spring Boot
Work with SQL databases (PostgreSQL, MySQL)
Implement event-driven systems using Kafka
Enable observability using OpenTelemetry
Ensure cost optimization, guardrails, and performance tuning

Required Skills

Strong Java, Spring Boot, Microservices expertise
Working knowledge of Python (AI ecosystem)
Experience with LLM integration and prompt engineering
Hands-on with RAG pipelines and vector databases
SQL expertise (PostgreSQL, MySQL)
Kafka and event-driven architecture
AWS, Docker, Kubernetes basics
Monitoring using Open Telemetry

Experience

5-8 years of software engineering experience
Minimum 2+ years in applied AI / LLM systems
Role: Software Development - Other
Industry Type: Software Product
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: Any Graduate
PG: Any Postgraduate
Doctorate: Any Doctorate

Job Description: Engineer AI

Role Overview

Key Responsibilities

Required Skills

Experience

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