Remote AI Agent Developer

About This Role

Design, build, and deploy robust, standalone AI agents capable of autonomous reasoning, planning, multi-step task execution, and independent decision-making. Leverage large language models (LLMs) and integrate agents with enterprise data sources and SaaS applications using cloud-native AI services, while establishing development standards for reusability, security, and performance. Modernize business processes through agent-driven automation and design collaborative multi-agent systems.

Responsibilities

• Design, build, and deploy robust, standalone AI agents capable of autonomous reasoning, planning, multi-step task execution, and independent decision-making
• Leverage large language models (LLMs)
• Integrate agents with enterprise data sources, SaaS applications, and business workflows using cloud-native AI services (AWS Bedrock, Azure AI, Google Cloud AI) or specialized platforms such as Google Gemini, DevRev, or Sierra
• Focus on creating flexible, cross-platform agents-not embedded assistants
• Establish development standards for reusability, security, and performance optimization
• Modernize business processes through agent-driven automation
• Design collaborative multi-agent systems
• Implement secure integrations via APIs and webhooks
• Monitor and improve agent performance
• Provide technical guidance to cross-functional teams

Requirements

• 2+ years building and deploying standalone/agentic AI agents using AWS Bedrock, Azure AI, Google Cloud AI, Gemini, DevRev, Sierra, or equivalent
• Strong Python proficiency; solid Java and/or JavaScript experience
• Proven expertise integrating LLMs/agents with data sources, SaaS apps, APIs, and webhooks
• Experience designing multi-agent systems with task handoff and autonomous decision-making
• Solid knowledge of AWS, Azure, or GCP; experience deploying scalable cloud AI solutions
• Track record troubleshooting, securing, monitoring, and improving production AI agents
• Hands-on experience with Google Gemini, DevRev, or Sierra
• 3+ years in customer-facing technical leadership or service automation

Qualifications

• Bachelor's or Master's in Computer Science, AI, or related field
• 5+ years of professional software development and automation experience

Nice to Have

• Familiarity with advanced AI/ML techniques (reinforcement learning, advanced NLP, agent frameworks)
• Experience converting legacy workflows to autonomous agent-driven processes
• Knowledge of agent evaluation metrics, observability, and continuous improvement
• Understanding of AI security best practices (prompt injection prevention, data privacy)
• Ability to research and evaluate emerging agent vendor roadmaps and technologies

Skills

* Required skills