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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer Senior Level - **Company:** Metalight Solutions Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Cloud Computing, Computer Programming, Databases, Data Validation, DevOps, Github, Monitoring of Systems, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Software Engineering, SQL Databases, Systems Integration, Data Logging, Large Language Models, Multi-Agent Systems, Prompt Engineering, Enterprise Integration, Azure AKS, Virtual Agents, Restful APIs, Automation Anywhere - **Published:** May 22, 2026 - **Apply:** https://www.dice.com/job-detail/4e613160-a5ba-4197-87be-5b18c818c5e3 ## About the Role We are looking for a highly skilled AI Engineer with strong software engineering fundamentals and hands-on experience building production-grade LLM-powered applications and autonomous agents. This role focuses on designing and implementing enterprise AI automation solutions that integrate with internal systems, APIs, databases, and operational workflows. The ideal candidate should have deep expertise in Python and Java, strong experience with LLM APIs such as OpenAI and Claude, and practical exposure to AI agent orchestration, MCP servers, tool calling, observability, guardrails, and enterprise automation frameworks. This is not a research-focused role. The client needs someone who can independently build scalable, secure, auditable, and production-ready AI systems for Finance and Operations teams., Core Technical Skills * 7 10+ years of software engineering experience * 2+ years of hands-on production experience with LLM/AI applications * Strong programming expertise in: * Python * Java Experience building enterprise-grade backend services AI / LLM Skills * OpenAI / Claude / Anthropic APIs * Prompt engineering * Function calling * Tool calling * Structured outputs * Context window management * Multi-agent workflows * MCP servers * AI orchestration frameworks Enterprise Integration Skills * REST APIs * PostgreSQL * SQL Server * Enterprise databases * API orchestration * Workflow automation AI Reliability & Governance * Hallucination mitigation * Output validation * AI guardrails * Audit logging * Human approval workflows * Observability * Cost optimization * Rate limiting DevOps / Cloud * AKS (Azure Kubernetes Service) * GitHub Actions * CI/CD pipelines * Monitoring & observability tools Nice-to-Have Skills * RAG pipelines * Vector databases * LangChain / LlamaIndex * Temporal workflows * AI evaluation frameworks * Financial services domain experience * Document intelligence systems * Enterprise AI governance ## Description * Design and develop LLM-powered AI agents for enterprise workflow automation. * Build integrations between AI agents and internal enterprise systems using: * REST APIs * SQL databases * MCP servers * Tool/function calling Develop multi-step AI workflows for: * Document processing * Data validation * Exception handling * Operational automation Implement: * Guardrails * Output validation * Human-in-the-loop workflows * Audit trails * Cost tracking * Rate limiting Create reusable AI engineering frameworks including: * Prompt management * Evaluation harnesses * Context orchestration * Structured output validation Ensure observability through: * Logging * Monitoring * Decision tracing * Agent action visibility Collaborate with business and architecture teams to identify automation opportunities and integrate AI solutions into enterprise platforms. ## Related Videos - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Azure-Well Architected Framework - designing mission critical workloads in practice](https://www.wearedevelopers.com/videos/1529-azure-well-architected-framework-designing-mission-critical-workloads-in-practice) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Azure-Well Architected Framework - Cost Optimization in practice](https://www.wearedevelopers.com/videos/2100-azure-well-architected-framework-cost-optimization-in-practice) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)