Agentic AI Developer Security Clearance
Job in
Bethesda, Montgomery County, Maryland, 20810, USA
Listed on 2026-06-07
Listing for:
Mindbank Consulting Group
Full Time
position Listed on 2026-06-07
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Mindbank Consulting Group is seeking an experienced Full-Stack Agentic AI Developer to support the development of AI-enabled software systems for a large clinical trials platform focused on cancer research. This position is hybrid in Bethesda, MD, with work performed three days per week onsite; the rest performed remotely. (No exceptions.) This is a six-month contract to start with possibility of extensions.
• Candidates must be either a U.S. Citizen or U.S. Permanent Resident and able to successfully complete a background investigation prior to start.
• Mindbank does not work with third-party staffing companies. Please do not inquire. The Full-Stack Agentic AI Developer will design and implement production applications that integrate enterprise full stack engineering with modern AI capabilities, including LLM-based workflows, retrieval-augmented generation (RAG), and agent-based orchestration. The position involves building and maintaining systems that connect user interfaces, backend services, and AI components within a regulated healthcare environment.
A key focus is the development of reliable, observable, and human-in-the-loop AI workflows that can be safely deployed in production. This is a hands-on engineering role spanning frontend, backend, cloud infrastructure, and AI system integration within an enterprise clinical research setting. 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 Lang Chain, Lang Graph 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, Type Script) 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., Lang Smith, Langfuse), and guardrails to monitor AI performance, cost, and safety. Full-Stack Agentic AI Developer
Qualifications:
Basic Qualifications:
You must meet these qualifications in order to be considered for this position. Please ensure your resume contains detailed information about each of your roles and responsibilities, especially as they relate to this role. I do not worry about resume length!
• U.S. Citizen or U.S. Permanent Resident (no exceptions) able to successfully complete a background investigation prior to start.
• Bachelor's degree in computer science or related field.
• At least three (3) years of professional full-stack development experience with a focus on AI applications and data pipelines.
Preferred Qualifications:
• Strong proficiency in Python and JavaScript/Type Script.
• Familiarity with OpenAI API, Lang Chain or Lang Graph 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 (Postgre
SQL) and No
SQL/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. Why should you work for Mindbank? Since 1986, Mindbank has helped hundreds of clients solve some of the most complex IT problems through the strategic implementation of solutions and resources. Our…
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