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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Developer / Agentic AI / Hybrid - **Company:** Mindbank Consulting Group, LLC - **Location:** Bethesda, MD, United States (Remote available) - **Experience:** Experienced - **Salary:** $130,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Databases, Continuous Integration, Design of User Interfaces, Python (Programming Language), PostgreSQL, Node.Js, NoSQL, Oracle (Applications), Performance Tuning, Next.js, Search Technologies, SQL Databases, TypeScript, Data Logging, ReactJS, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Spring-boot, Generative AI, Backend, Fastapi, Pyspark, Kubernetes, Information Technology, Machine Learning Operations, Front End Software Development, Virtual Agents, Api Design, Restful APIs, Data Pipelines, Docker, Databricks - **Published:** July 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/8928316/full-stack-developer-agentic-ai-hybrid ## About the Role * Bachelor's degree in computer science or related field. * 3+ years of professional full-stack development experience with a focus on AI applications and data pipelines., * Strong proficiency in Python and JavaScript/TypeScript. * Familiarity with OpenAI API, LangChain or LangGraph and has hands on experience in developing AI agent workflows. * Strong full-stack development with front-end experience in React.js; back-end expertise in Spring boot REST APIs, FastAPI, Flask, or Node.js; and database proficiency in Oracle, SQL (PostgreSQL) and NoSQL/Vector databases. * Experience with AWS Bedrock/Agents, Agentic AI workflows and CI/CD tools. * Exposure to Databricks, PySpark, Vector Search and MLFlow framework would is a plus. * Familiarity with emerging AI tools like Claude Code, Codex or others and has experience in governing autonomous AI systems. ## Description Mindbank Consulting Group has an immediate need for 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. The Full-Stack Agentic AI Developer 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. This position is hybrid, working onsite in the Bethesda, Maryland office 3 days per week and 2 days per week from your home office. Full-Stack Agentic AI Developer Responsibilities: Implement proof of concept through production-ready capabilities that directly improve clinical trial processes for a large system supporting cancer clinical trials. Design, build, and deploy autonomous AI agents capable of understanding high-level goals, planning actions, and executing tasks with minimal human intervention. Utilize frameworks like LangChain, LangGraph or CrewAI to build LLM-powered workflows. Build robust backend services (Python/REST API/Node.js) and Spring boot RESTful APIs to support agent orchestration and user interfaces. Create intuitive interfaces (React, Next.js, TypeScript) for users to monitor, configure, and intervene in AI agent workflows with human-in-the-loop. Develop custom tools, plugins, and Model Context Protocol (MCP) servers to securely expose internal services, APIs, and databases to LLMs. Architect and optimize Retrieval-Augmented Generation (RAG) pipelines and vector databases. Deploy AI applications on cloud platforms (AWS, Azure, or GCP) using Docker, Kubernetes, and CI/CD pipelines. * Implement observability, logging, tracing (e.g., LangSmith, Langfuse), and guardrails to monitor AI performance, cost, and safety. ## Related Videos - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)