Full-Stack Agentic AI Developer

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 Lang Chain, Lang Graph 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, Type Script) 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., Lang Smith, Langfuse), and guardrails to monitor AI performance, cost, and safety.

• 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.

• Strong proficiency in Python and JavaScript/Type Script.
• Familiarity with OpenAI API, Lang Chain or Lang Graph and 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 (Postgre
  
  SQL) and No
  
  SQL/Vector databases.
• Experience with AWS Bedrock/Agents, Agentic AI workflows and CI/CD tools.
• Exposure to Databricks, PySpark, Vector Search and MLFlow framework is a plus.
• Familiarity with emerging AI tools like Claude Code, Codex or others and experience in governing autonomous AI systems.

TQA's broad and competitive mix of benefits options are designed to support and protect employees and their families' physical, mental, and financial health. Employment benefits include medical, dental, life and supplemental insurance options as well as a matching 401(k) program, Flexible Spending Accounts (FSA), education reimbursement, mental wellness reimbursements, access to a financial advisor, and up to 31 days of paid leave annually.

Trusted

QA is an equal‑opportunity employer and does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or any other non‑merit factor.

Trusted

QA considers several factors when extending an offer, including but not limited to, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, geographic location, education, and certifications.

As a federal contractor, TQA is subject to all federal and state mandates and/or other customer requirements.