REMOTE AI Agent Developer

We are seeking a skilled AI Agent Developer to design, build, and deploy robust, standalone AI agents capable of autonomous reasoning, planning, multi-step task execution, and independent decision-making. In this role, you will leverage large language models (LLMs) and 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, Dev Rev, or Sierra.

You will focus on creating flexible, cross-platform agents-not embedded assistants-while establishing development standards for reusability, security, and performance optimization. You will modernize business processes through agent-driven automation, design collaborative multi-agent systems, implement secure integrations via APIs and webhooks, monitor and improve agent performance, and provide technical guidance to cross-functional teams. This role is fully remote, though occasional travel to Chicago may be required.

Pay Rate: $100-$108/hr

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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Required Skills & Experience
- 2+ years building and deploying standalone/agentic AI agents using AWS Bedrock, Azure AI, Google Cloud AI, Gemini, Dev Rev, 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
- Bachelor's or Master's in Computer Science, AI, or related field
- 5+ years of professional software development and automation experience

Nice to Have Skills & Experience
- Hands-on experience with Google Gemini, Dev Rev, or Sierra
- 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
- 3+ years in customer-facing technical leadership or service automation
- Understanding of AI security best practices (prompt injection prevention, data privacy)
- Ability to research and evaluate emerging agent vendor roadmaps and technologies

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.