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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Engineer, Analyst - **Company:** MUFG Americas - **Location:** Jersey City, NJ, United States (Remote available) - **Salary:** $108,000.0 - $130,000.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Integration, DevOps, Python (Programming Language), Machine Learning, Data Logging, Data Processing, Scripting, Chatbots, Data Ingestion, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Indexer, Information Technology, Low Latency, Low-code, Machine Learning Operations, Restful APIs, GPT, Api Management - **Published:** August 19, 2026 - **Apply:** https://mufgub.wd3.myworkdayjobs.com/MUFG-Careers/job/Jersey-City-NJ/ML-Engineer_10076539-WD ## About the Role Required (Entry-Level) * Bachelor's degree in: * Advanced degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, Data Science, or related field, or equivalent work experience equally preferable. * Foundational knowledge of: Python, APIs and REST services, Machine Learning basics, and Basic understanding of Large Language Models (LLMs). Preferred: * Exposure to: Generative AI (e.g., ChatGPT, Azure OpenAI, LLM APIs); Prompt engineering concepts; Vector databases / embeddings (basic familiarity); Cloud platforms (AWS, Azure). * Academic projects or internships involving AI/ML or Gen AI. Key Skills: Technical Skills: * Python / scripting. * LLM fundamentals (prompting, inference, evaluation). * API integration and data handling. * Basic cloud & DevOps concepts. Behavioral Skills: * Analytical thinking and curiosity (critical for Gen AI experimentation). * Attention to detail (important for model validation and risk control). * Strong communication and collaboration skills. * Willingness to learn quickly in a fast-evolving AI landscape. Education: *Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." ## Description 1) Gen AI Application Deployment & Support * Assist in deploying and managing LLM-powered applications (chatbots, copilots, AI agents). * Support integration of Gen AI models (e.g., prompt workflows, APIs, retrieval layers) into enterprise systems. * Help onboard business use cases onto enterprise platforms. 2) Prompt Engineering & Optimization Support * Support creation, testing, and refinement of prompts and prompt templates. * Assist in evaluating response quality, consistency, and hallucination risks. * Work with senior engineers to improve accuracy, grounding, and reliability of AI outputs. 3) Retrieval-Augmented Generation (RAG) & Data Integration * Assist in building and testing RAG pipelines (connecting Gen AI models with enterprise data). * Support data ingestion, indexing, and validation workflows. * Help ensure responses are grounded in approved enterprise data sources. 4) Monitoring & Evaluation of Gen AI Systems * Monitor Gen AI systems for: Output quality, Latency and performance, Safety and compliance issues. * Support creation of evaluation metrics and test datasets for Gen AI use cases. * Assist in identifying and escalating issues such as hallucination, bias, or drift. 5) Automation & MLOps Enablement * Contribute to automation of LLM lifecycle workflows (deployment, testing, monitoring). * Assist in building reusable workflows using: CI/CD pipelines, API integrations, Low-code/no-code automation tools. 6) AI Governance, Risk & Responsible AI * Follow enterprise AI governance standards for: Model usage, Prompt logging and monitoring, Data privacy and compliance. * Assist in documenting Gen AI use cases for audit and regulatory purposes. * Support enforcement of Responsible AI principles (fairness, explainability, security). 7) Collaboration & Learning * Partner with: AI engineers, Data scientists, Business teams * Participate in use case onboarding, PoCs, and production scaling efforts. * Continuously build knowledge in Gen AI tools, frameworks, and best * practices. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [Got AI ideas but no money? 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