Full-Stack Agentic AI Developer - HYBRID

Please read the job description and qualifications carefully BEFORE you apply. 

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 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 Google Cloud Platform) using Docker, Kubernetes, and CI/CD pipelines.

·         Implement observability, logging, tracing (e.g., LangSmith, 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/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.

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 clients include US Federal agencies, State & Local Governments, Tribal Organizations, Fortune 1000 companies, as well as Small Businesses. 

Mindbank believes that our employees deserve the best care that our company can provide. We offer our employees a comprehensive and competitive benefits package including: 

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Long Term Disability
• Short Term Disability
• 401 (k) Plan
• Paid Time Off
• Training and Education Reimbursement
• Referral Bonuses 

As an Equal Opportunity Employer, Mindbank is committed to a diverse workforce and we seek the most qualified candidate for each opening without regard to race, color, religion, age, gender, gender identity, marital status, sexual orientation, national origin, protected veteran status, or disability status.