Senior AI Engineer: LLM & Multi-Agent Systems Architect

Epergne Solutions; Singapore; On-site; SGD 24,000 - 35,000; Full time

Job summary

Epergne Solutions seeks an AI Specialist to design, develop, and deploy LLM-powered systems with agentic workflows. You will work across multi-agent frameworks, optimize prompts and Cost-efficient LLM workflows, and build scalable APIs using FastAPI to serve AI solutions.

You will implement inter-agent communication, integrate MCP and A2A standards, and continuously improve model performance through feedback loops. Immediate joining within two weeks is preferred.

Qualifications

• 5 years of experience in software engineering or applied AI.
• Hands-on experience building production-grade LLM and agentic systems.
• Strong understanding of cloud-based AI platforms.
• Experience deploying AI solutions in enterprise environments.
• Excellent problem-solving and communication skills.
• Immediate joiners within 2 weeks preferred.

Responsibilities

• Design, develop, and deploy LLM-powered and agentic AI systems using multi-agent frameworks.
• Build and optimize prompt strategies, API usage, and cost-efficient LLM workflows.
• Develop scalable and secure backend APIs using FastAPI to serve AI solutions.
• Implement multi-agent architectures with inter-agent communication and task orchestration.
• Integrate agentic workflows into existing applications and business processes.
• Apply MCP and A2A communication standards.
• Build systems with feedback loops to continuously improve model performance and outcomes.

Skills

LLMs

Prompt engineering

Multi-agent frameworks

Python advanced

FastAPI

RESTful API design

Cloud AI platforms

CI/CD for AI

Databricks

Agentic orchestration

Tools

LangChain

LangGraph

CrewAI

Azure AI Studio

AWS Bedrock

Databricks

Job description

Epergne Solutions seeks an AI Specialist to design, develop, and deploy LLM-powered systems with agentic workflows. You will work across multi-agent frameworks, optimize prompts and Cost-efficient LLM workflows, and build scalable APIs using FastAPI to serve AI solutions.

You will implement inter-agent communication, integrate MCP and A2A standards, and continuously improve model performance through feedback loops. Immediate joining within two weeks is preferred.