Original listing text, shown exactly as published by the company.
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.
Information Security Responsibilities
- Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
- Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
- Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
- Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Job 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.
Basic Qualifications
- 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.
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.
