> Markdown version of [/jobs/ext/4629653-sr-ai-full-stack-software-engineer-investments-technology](https://www.wearedevelopers.com/jobs/ext/4629653-sr-ai-full-stack-software-engineer-investments-technology). 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).

---

# Sr. AI Full Stack Software Engineer - Investments Technology

- **Company:** NewGen Technologies
- **Location:** Baltimore, MD, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Multitier Architecture, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Engineering, Software Quality, Code Review, Continuous Delivery, Continuous Integration, Performance Testing, Large Language Models, Multi-Agent Systems, Prompt Engineering, Technical Debt, AgentCore, Generative AI, Agentic-AI, AI Platforms, Amazon Bedrock, Real Time Data, OpenAI Codex, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_e43e165f4c603ebaf8dfd4ff08854383-2078411649

## About the Role

* Hands-on experience building LLM-powered or agent-based systems in production
 * Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks
 * Strong analytical and problem-solving abilities
 * Commitment to quality via automated testing, code reviews, and continuous delivery
 * Results-driven with a passion for learning and staying current with emerging technologies, * Experience with retrieval-augmented generation (RAG), vector databases, MCP servers, agent orchestration frameworks, prompt evaluation and iteration, model benchmarking, and performance testing
 * Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex
 * Experience in asset management, financial markets, or quantitative research environments
 * Solid understanding of financial markets, financial instruments, and financial datasets

## Description

* Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures
 * Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights
 * Champion engineering excellence by applying best practices in AI development, continuous integration, and code quality
 * Contribute to projects on agent orchestration, prompt engineering, real-time data-driven automation, and evaluation frameworks
 * Manage technical debt and drive ongoing improvements in AI platforms and infrastructure
 * Proactively seek opportunities to apply AI agents for increased business value and operational efficiency
 * Collaborate directly with business stakeholders to understand needs and priorities
 * Make technology decisions that support current and future business objectives and fiscal responsibility
 * Translate business requirements into effective technology solutions