> Markdown version of [/jobs/ext/2696923-software-engineer-ai-applications](https://www.wearedevelopers.com/jobs/ext/2696923-software-engineer-ai-applications). 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). --- # Software Engineer ? AI Applications - **Company:** Tradeweb Markets LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $200,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Algorithmic Trading, Cloud Computing, Programming Tools, Digital Assets, Machine Learning, Blockchain, Software Deployment, Software Engineering, Enterprise Data Management, Large Language Models, Multi-Agent Systems, Generative AI, Backend, AI Platforms, Kubernetes, Information Technology, Api Design, Data Pipelines - **Published:** September 3, 2026 - **Apply:** https://www.dice.com/job-detail/e28db1a5-89ae-4165-97d5-36e3e66eac36 ## About the Role * Bachelor?s or Master?s degree in Computer Science, Engineering, Mathematics, Statistics, oranother quantitative discipline * 5+ years of professional software engineering experience, including hands-on experience building and deploying production AI-enabled applications.? * Experience developing AI-enabled applications leveraging agentic workflows, multi-agent architectures, orchestration frameworks, or autonomous systems * Strong software engineering fundamentals including system design, API development, cloud infrastructure, data modeling, and scalable production deployment practices * Practical experience working with modern LLM ecosystems, including large language model APIs, orchestration tooling, vector databases, and retrieval-augmented generation (RAG) architectures * Proven ability to take AI applications from concept through production deployment, including monitoring, testing, reliability, and iterative improvement * Strong communication and collaboration skills with the ability to work across engineering, product, and business teams in fast-paced environments * Familiarity with financial markets, trading systems, digital assets, or institutional financial workflows is a strong plus * Experience with smart contract platforms, blockchain infrastructure, or decentralized technologies is beneficial * Exposure to enterprise data platforms and integrating AI systems with governed, structured datasets is preferred * Background working within AI-focused startups, emerging technology firms, or environments where AI systems are core to the business is highly valued * Relevant AI/ML certifications, cloud specializations, or modern AI tooling experience are considered a plus ## Description * Build and deliver production-grade AI/ML applications across strategic financial technology and enterprise AI initiatives * Design scalable backend systems, APIs, data pipelines, and intelligent workflows integrated into enterprise production infrastructure * Develop next-generation AI-enabled platforms leveraging agentic workflows, orchestration layers, retrieval-augmented generation (RAG), and multi-agent systems * Partner closely with Product, Front Office, and Technology stakeholders to translate business needs into scalable technical solutions * Contribute to modern AI engineering infrastructure supporting large language models (LLMs), internal developer tooling, and enterprise AI platforms * Evaluate and integrate emerging AI frameworks, tools, and machine learning technologies into real-world engineering workflows * Build secure, governed, and reusable AI solutions within a highly regulated enterprise environment * Operate with strong end-to-end ownership across architecture, development, deployment, and ongoing enhancement of applications * Collaborate cross-functionally with engineering leadership, data teams, and business stakeholders to drive high-impact initiatives * Help shape scalable AI capabilities that improve automation, productivity, and intelligent decision-making across the organization ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Pragmatic Blockchain Design Patterns: Integrating Blockchain into Business Processes](https://www.wearedevelopers.com/videos/1579-pragmatic-blockchain-design-patterns-integrating-blockchain-into-business-processes) - [The Software Engineer 2030: From Coder To AI Orchestrator? 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