Software developer - AI Orchestration
Seeburger · Chennai · hybrid · Posted 68d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
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
- 6–10 years of software engineering experience
- Minimum 2+ years in applied AI / LLM systems
Sourced from naukri
Skills
Retrieval Augmented GenerationVector DatabaseOrchestratorAI orchestrationai engineerLarge Language Models (LLMs)AI FullstackSpring BootJavaFull StackAngularjsMicroservicesArtificial Intelligence
About Seeburger

Seeburger
Software Product
200
employees
1986
40 years old
Bretten, Baden-Württemberg
DE
About
An integration software provider delivering cloud-based solutions that optimize business processes for global enterprises.
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