AI Agent Developer

Berry Virtual | MedVirtual | AI Virtual

View original posting

Work arrangement
Remote
Occupation
Software & IT
Location
CO
Compensation
Not disclosed
Apply by
April 14, 2027

About this role

<h3><strong>Key Responsibilities:</strong></h3><ul>
<li>Research, design, develop, and manage software applications end-to-end</li>
<li>Build and deploy production-grade autonomous AI agents (not just prototypes)</li>
<li>Design and implement RAG architectures backed by vector databases</li>
<li>Develop and optimize multi-agent workflows and agentic systems</li>
<li>Integrate large language models via API — OpenAI, Hugging Face, Azure AI</li>
<li>Implement Model Context Protocol (MCP) to enable secure, governed data access for agents</li>
<li>Own AI governance, model lifecycle management, and ongoing evaluation of deployed agents</li>
<li>Apply AI safety controls: guardrails, content filtering, and risk mitigation</li>
<li>Collaborate cross-functionally with developers, UX designers, and business/systems analysts</li>
<li>Continuously optimize LLM performance, inference cost, and token usage</li>
</ul><h2>Requirements</h2><h2>Must-Have</h2><ul>
<li>4+ years in AI/ML engineering or advanced data science</li>
<li>Demonstrated experience shipping autonomous AI agents into production, not just building demos</li>
<li>Strong grounding in context engineering</li>
<li>Hands-on experience with agent frameworks: LangChain, LangGraph, CrewAI, AutoGPT</li>
<li>Experience building RAG systems on vector databases</li>
<li>Strong Python skills plus fluency with AI/ML libraries (OpenAI, Hugging Face, Azure AI)</li>
<li>Experience wiring LLMs into applications via API</li>
<li>Working knowledge of AI governance, model lifecycle management, and evaluation frameworks</li>
<li>Direct experience implementing or extending Model Context Protocol (MCP)</li>
<li>Familiarity with AI guardrails and safety tooling</li>
</ul><ul><li>Understanding of data privacy requirements, including PII/PHI handling</li></ul><h2>Nice-to-Have</h2><ul>
<li>Experience working in a<strong>law firm, legal operations, or legal tech environment</strong>
</li>
<li>Hands-on experience with AI tools such as<strong>LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms</strong>
</li>
<li>Background in<strong>marketing automation, lead generation systems, or paid ads optimization</strong>
</li>
<li>Experience with<strong>chatbots, call automation, or client intake systems</strong>
</li>
<li>Familiarity with<strong>document automation, legal research tools, or eDiscovery platforms</strong>
</li>
<li>Basic understanding of<strong>APIs, integrations, or no-code/low-code tools</strong>
</li>
<li>Experience building<strong>dashboards (e.g., Power BI, Tableau, Google Data Studio)</strong>
</li>
<li>Knowledge of<strong>data privacy, compliance, and security considerations in AI implementation</strong>
</li>
<li>Prior experience in a<strong>consulting, operations, or innovation-focused role</strong>
</li>
</ul><h3>
<br><strong>System and Work Setup Requirements:</strong>
</h3><ul>
<li>A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues.</li>
<li>Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage</li>
<li>Headset/earphone with noise cancellation and webcam at 720p or higher resolution</li>
<li>A designated, quiet, and well-organized workspace free from distractions to facilitate focused work</li>
</ul><h2>Benefits</h2><ul>
<li>Permanent remote work setup</li>
<li>Competitive starting rate paid in USD</li>
<li>Internet Allowance</li>
<li>HMO insurance (PH)</li>
<li>Paid US holidays</li>
<li>Paid Vacation and Sick Leaves</li>
</ul>

Apply on employer site

You'll continue on the employer's careers page to submit your application.