Senior AI Engineer - Enterprise LLM Automation

AIToolboard; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

Metalight Solutions Inc. is seeking an experienced AI Engineer Senior Level in New York, NY to design and implement production-grade LLM-powered AI systems for Finance and Operations.

You will build scalable back-end services, automate workflows, and ensure observability and governance across enterprise platforms. The role requires 7–10+ years of software engineering, 2+ years with LLM/AI apps, and strong Python/Java expertise.

Qualifications

• 7–10+ years of software engineering experience.
• 2+ years of hands-on production experience with LLM/AI applications.
• Strong programming expertise in Python and Java.
• Experience with OpenAI/Claude/Anthropic APIs; prompt engineering.

Responsibilities

• Design and develop LLM-powered AI agents for enterprise workflow automation.
• Build integrations between AI agents and internal enterprise systems via REST APIs, SQL databases, and MCP servers.
• Develop multi-step AI workflows for document processing, data validation, and operational automation.
• Implement guardrails, output validation, human-in-the-loop workflows, audit trails and cost tracking.
• Create reusable AI engineering frameworks for prompt management, evaluation and context orchestration.
• Ensure observability through logging, monitoring, decision tracing and agent action visibility.

Skills

Python

Java

LLM APIs

Prompt engineering

Function calling

Tool calling

Structured outputs

Context window management

Multi-agent workflows

AI orchestration frameworks

REST APIs

PostgreSQL

SQL Server

Enterprise databases

API orchestration

Workflow automation

Logging

Observability

MCP servers

AKS

LangChain

LlamaIndex

Vector databases

Tools

MCP servers

PostgreSQL

SQL Server

Azure Kubernetes Service (AKS)

LangChain

LlamaIndex

Vector databases

Job description

Metalight Solutions Inc. is seeking an experienced AI Engineer Senior Level in New York, NY to design and implement production-grade LLM-powered AI systems for Finance and Operations.

You will build scalable back-end services, automate workflows, and ensure observability and governance across enterprise platforms. The role requires 7–10+ years of software engineering, 2+ years with LLM/AI apps, and strong Python/Java expertise.