Full-Stack Agentic AI Developer

Job Description

What You Will Do

• Innovate & Execute: Implement proof-of-concept through production-ready capabilities that directly streamline and improve clinical trial workflows.
• Build Autonomous Agents: Design, deploy, and govern AI agents capable of understanding high-level goals, planning actions, and executing tasks with minimal human intervention.
• Leverage Modern Frameworks: Utilize frameworks like LangChain, LangGraph, or CrewAI to build complex LLM-powered workflows.
• Develop Full-Stack Solutions: Build robust backend services (Python, Node.js, Spring Boot REST APIs) to support agent orchestration, alongside intuitive front-end interfaces (React, Next.js, TypeScript) for human-in-the-loop monitoring and configuration.
• Create Custom Integrations: Develop custom tools, plugins, and Model Context Protocol (MCP) servers to securely expose internal services, APIs, and databases to LLMs.
• Optimize Data Pipelines: Architect and refine Retrieval-Augmented Generation (RAG) pipelines and vector databases.
• Deploy & Monitor: Deploy AI applications on cloud platforms (AWS, Azure, or GCP) using Docker, Kubernetes, and CI/CD pipelines, while implementing logging, tracing (e.g., LangSmith, Langfuse), and strict safety guardrails.

Basic Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a closely related field.
• 3+ years of professional full-stack development experience, with a dedicated focus on AI applications and data pipelines.
• Must be a US Citizen or Green Card Holder.

Preferred Qualifications

• Strong programming proficiency in Python and JavaScript/TypeScript.
• Hands-on experience developing AI agent workflows and familiarity with the OpenAI API, LangChain, or LangGraph.
• Full-stack expertise: Front-end (React.js), Back-end (Spring Boot REST APIs, FastAPI, Flask, or Node.js), and Database management (Oracle, PostgreSQL, NoSQL/Vector databases).
• Experience with AWS Bedrock/Agents and modern CI/CD tools.
• Exposure to Databricks, PySpark, Vector Search, and the MLFlow framework is highly desired.
• Familiarity with emerging AI coding assistants (like Claude Code, Codex) and experience governing autonomous AI systems.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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