Full Stack Agentic AI Developer - Local to Maryland

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. 

 

What We Do

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design build and scale AI-driven products platforms and processes. With more than 5000 team members worldwide Bounteous delivers AI that sticks powering adoption and outcomes that move organizations from experimentation to true transformation.

Why Work With Us

Bounteous combines strategy experience design engineering data and AI to help leading brands build intelligent systems that are practical scalable and measurable. People join us to work on meaningful transformation initiatives collaborate with smart and supportive teams and help shape what’s next in AI and digital experience.

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