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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Engineer - Machine Learning - **Company:** BERKADIA - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $200,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Cloud Computing, Continuous Integration, Document Management Systems, Information Retrieval, Python (Programming Language), Machine Learning, Software Engineering, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Semi-structured Data, Information Technology, Machine Learning Operations, Front End Software Development - **Published:** August 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2e9c908a93dde7a3 ## About the Role * 6+ years of professional software development experience, with a focus on Python. * Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering). * Required experience designing and building AI agents, including tool use, orchestration, memory/context management, and workflow automation. * Required experience building AI evaluation harnesses to test, measure, monitor, and improve agent and LLM application quality. * Familiarity with cloud infrastructure and MLOps practices (deployment, monitoring, observability). * Experience working with unstructured and semi-structured data, including transforming it into structured formats via machine learning. * React frontend development skills/Javascript are a plus. * Experience with Agile methodologies and CI/CD practices. * Bachelor's degree in Computer Science or another STEM field with heavy analytics focus preferred ## Description * Design, implement, and maintain production-ready machine learning systems using both generative and traditional techniques. * Architect end-to-end AI solutions for use cases such as intelligent document processing, agentic systems, and information retrieval. * Drive the continued development of Berkie, Berkadia's generative AI platform, ensuring it delivers meaningful access to proprietary data and supports efficiency and growth across the business. * Collaborate with cross-functional teams - including product, engineering, and data - to identify impactful problems and translate them into scalable AI solutions. * Write maintainable, high-quality code using Python and modern cloud infrastructure; use notebooks as needed for experimentation and rapid iteration. * Establish and contribute to best practices in MLOps, including model deployment, monitoring, observability, and continuous improvement. * Participate in peer reviews, design discussions, and team learning sessions to foster transparency and knowledge-sharing. * Document system designs, decisions, and outcomes to improve clarity and reproducibility across the team. * Stay up-to-date with the rapidly evolving ML and GenAI landscape; self-learning and curiosity are essential to success in this role. * Take initiative, share wins, and work with purpose - we value engineers who care deeply about their craft and their impact on others. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Carl Lapierre - Exploring Advanced Patterns in Retrieval-Augmented Generation](https://www.wearedevelopers.com/videos/1235-carl-lapierre-exploring-advanced-patterns-in-retrieval-augmented-generation) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [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) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)