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Full Stack Agentic AI Developer - Local to Maryland

Bounteous Agency

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities.

Rockville, MD Full-time Posted 1mo ago

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.

Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.

Role: Full-Stack Agentic AI DeveloperWork model : Hybrid - 3 days from Bethesda, MD, USA office, 2 days WFH Duration : June 2026 - Feb 2027 (Possible extension) Job Description Job Summary Our client is seeking a motivated and forward-thinking Full-Stack Agentic AI Developer to build autonomous, goal-driven AI integrated into existing production-ready applications/products for a large clinical trials system. You will blend deep technical fluency in agentic frameworks with a product-centric mindset, designing, building, and orchestrating multi-agent systems that plan, reason, use tools, and recover from errors.

The role requires working 40 hours per week from June 2026 through February 2027.

This position is to work onsite at our office in Bethesda, Maryland office 3 day per week and 2 days per week from your home office.

Posted by Bounteous on their own careers page — you apply directly, no recruiter in between. View original / apply →

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