Role: Full-Stack Agentic AI Developer
Work model : Hybrid - 3 days from Bethesda, MD, USA office, 2 days WFH
Duration : June 2026 - Feb 2027 (Possible extension)
Job Description
Job Summary
Our client is seeking 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. You 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.
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
• 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.
Skills Required
- Bachelor's degree in Computer Science or related field
- 3+ years professional full-stack development experience focused on AI applications and data pipelines
- Experience designing, building, and deploying autonomous/agentic AI workflows and multi-agent orchestration
- Proficiency in Python
- Proficiency in JavaScript/TypeScript
- Front-end development with React and Next.js
- Back-end development and REST API design (Node.js, Spring Boot, or Python frameworks such as FastAPI/Flask)
- Experience with RAG architectures and vector databases / vector search
- Cloud deployment and infra: AWS, Azure, or GCP; Docker and Kubernetes; CI/CD pipelines
- Implement observability, logging, tracing and AI guardrails (examples: LangSmith, Langfuse) and information security/data protection (GDPR, CCPA)
- Familiarity with LangChain, LangGraph, CrewAI and LLM tool integrations (OpenAI API, MCP servers)
- Database experience (Oracle, PostgreSQL) and NoSQL/Vector DBs; exposure to Databricks, PySpark, MLflow
- Familiarity with AWS Bedrock/Agents and emerging AI tools (Claude Code, Codex)
What the Team is Saying
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 5,000 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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