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Remote role, popular AI-engineer title, mid-level experience, and metro candidate pool drive high competition.
Specialized LLM agent engineering, MCP integrations, and production AI requirements limit cross-industry transferability.
Explicit 4+ years, mandatory Java/Python, MCP and agent-building experience create stringent screening filters.
Design, build, and scale AI-powered applications, backend services, and multi-step agentic workflows integrating LLM and AI capabilities with external platforms.
Develop and maintain MCP-based integrations enabling secure AI system interaction with external tools, APIs, and enterprise platforms.
Support production environments by improving AI workflow efficiency, reliability, observability, and resolving incidents, while collaborating cross-functionally to define scalable AI deployment patterns.
4+ years of experience in software engineering, backend engineering, or applied AI engineering.
Strong programming skills in Java and/or Python.
Experience designing or building AI agents, multi-step orchestration workflows, and integrating AI or LLM capabilities into production systems using MCP or similar integration patterns.
Candidates must be based in APAC or LATAM with working-hours overlap to U.S. Central Time; APAC candidates should overlap India Standard Time extending through 11:00 a.m. U.S. Central Time.
Experienced in fast-paced, delivery-oriented environments balancing development, experimentation, and production support in AI engineering contexts.
Demonstrates strong ownership of AI system reliability, performance, cost, and safety in production-grade backend services and AI agent workflows.
Skilled at cross-functional collaboration focusing on scalable AI deployment and integration with enterprise tools and distributed systems.