> Markdown version of [/jobs/ext/1356979-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1356979-senior-ai-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 AI Engineer - **Company:** DualEntry - **Location:** United States - **Experience:** Expert - **Salary:** $35,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Python (Programming Language), PostgreSQL, Transaction Data, TypeScript, Large Language Models, Multi-Agent Systems, Backend, Kotlin, Cassandra - **Published:** July 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=896439561dae37e0 ## About the Role * Hardcore work ethic and high agency * 3+ years in a technical role with a strong foundation in backend systems, APIs, and cloud infrastructure * 2+ years shipping production AI systems with real users and real stakes, not research or prototypes * Hands-on experience with production LLM applications, RAG pipelines, agentic systems or structured extraction * Proficiency in Python and comfort working across the full stack to deliver end-to-end features Bonus Points * Background in fintech, ERP, or accounting software * Experience with fine-tuning or training models, not just inference * Familiarity with Python, Kotlin, Java, or TypeScript Experience building AI systems that operate on structured financial or transactional data ## Description * Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability - we use Postgres until it breaks * Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend * Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems * Fast-moving: you deploy daily, iterate quickly, and never wait for permission ## 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) - [Maximising Cassandra's Potential: Tips on Schema, Queries, Parallel Access, and Reactive Programming](https://www.wearedevelopers.com/videos/1167-maximising-cassandra-s-potential-tips-on-schema-queries-parallel-access-and-reactive-programming) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Agentic AI Systems for Critical Workloads](https://www.wearedevelopers.com/videos/1592-agentic-ai-systems-for-critical-workloads) - [Building Real-Time AI/ML Agents with Distributed Data using Apache Cassandra and Astra DB](https://www.wearedevelopers.com/videos/782-building-real-time-ai-ml-agents-with-distributed-data-using-apache-cassandra-and-astra-db) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)