: 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

- Solid 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

- 6–10 years of software engineering experience

- Minimum 2+ years in applied AI / LLM systems

📌 Software developer - AI Orchestration (Chennai)
🏢 SEEBURGER
📍 Chennai