> Markdown version of [/jobs/ext/3845760-senior-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/3845760-senior-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Full Stack Engineer

- **Company:** Neu-Linx, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $190,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Relational Databases, Distributed Systems, Django Web Framework, Performance Tuning, RabbitMQ, Redis, Regression Testing, OpenAI, Data Streaming, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Backend, Agentic-AI, AngularJS, Kubernetes, Low Latency, Celery, Evaluation of Large Language Models, Api Design
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/2_166576933

## About the Role

* 5+ years of full-stack software engineering experience.
 * 3+ years of React, React.js or Angular experience.
 * 3+ years of Python backend development (Django, Flask or similar).
 * Hands-on experience building and deploying LLM-powered applications.
 * Strong API design, distributed systems and relational database experience.
 * Experience with agentic AI, tool calling, MCP, RAG or LLM evaluation frameworks.
 * Comfortable working with emerging AI technologies and taking ownership in a fast-moving environment.

Bonus points for: Anthropic/OpenAI APIs, agent orchestration, streaming infrastructure, Celery, Redis, RabbitMQ, AWS or Kubernetes.

## Description

* Building evaluation, observability and regression-testing systems to improve AI performance.
 * Developing full-stack features across Python backend services and modern frontend applications.
 * Working closely with Product and Design to take AI features from concept through to production.
 * Improving latency, scalability and reliability across AI-powered applications.