Senior AI Engineer

Role Overview

• Design, build, and operate AI agents that perform multi-step reasoning, decision-making, and task execution across enterprise systems.
• Develop agent-based solutions using LLMs, tools/function calling, memory, and orchestration frameworks to automate end-to-end business processes.
• Implement human-in-the-loop, approval, audit, and exception-handling patterns to ensure safe and reliable automation.
• Define and track KPIs for agent effectiveness (e.g., cycle-time reduction, automation rate, error rate, cost savings) and continuously optimize performance.
• Design and maintain AI-driven workflows that integrate with enterprise applications (CRM, ERP, ticketing, content management, collaboration platforms).
• Build and expose services and APIs that allow internal applications to invoke AI agents and automation capabilities.
• Integrate and govern third-party AI platforms and services where they accelerate delivery and reduce operational risk.
• Ensure reliability, observability, and cost controls across automated processes.
• Develop and deploy LLM-powered capabilities including tool-using agents, prompt strategies, embeddings, vector search, and retrieval-augmented generation (RAG) where appropriate.
• Evaluate model and agent behavior using quantitative metrics, structured test cases, and regression suites.
• Apply guardrails, validation, and monitoring to ensure responsible, predictable, and secure AI behavior in production.
• Operate AI agents and automation solutions in production, responding to incidents, failures, and unexpected behaviors.
• Partner with IT Operations and Security to ensure solutions meet availability, security, privacy, and compliance requirements.
• Participate in on-call or escalation rotations as required for critical AI-enabled systems.
• Partner with business stakeholders to identify high-impact automation opportunities and translate them into AI agent designs.
• Provide technical leadership, design guidance, and mentorship to engineers working on AI and automation initiatives.
• Contribute to architectural standards, best practices, and documentation for agent-based AI systems.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Strong experience with API-driven system integration and service-based architectures in production environments.
• Hands-on experience building and operating AI-driven automation or agent-based systems.
• Solid understanding of software engineering best practices, version control, testing, and CI/CD.
• Demonstrated ability to deliver automation with measurable business impact.
• Experience with Generative AI, LLM-based agents, tool/function calling, and orchestration frameworks.
• Experience integrating AI solutions with enterprise applications and workflows.
• Familiarity with monitoring, observability, and cost management for AI systems.

Tech Stack

• ERP

Benefits

• Competitive compensation
• Remote-first lifestyle
• Career growth opportunities across industries and technologies