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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Corebridge Financial - **Location:** Jersey City, NJ, United States - **Experience:** Experienced - **Salary:** $122,000.0 - $148,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Programming, Continuous Integration, Decision Support Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Systems Architecture, Unstructured Data, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Api Design, Docker - **Published:** August 1, 2026 - **Apply:** https://www.dice.com/job-detail/b1584100-d11b-4ca2-84ee-34624047ec41 ## About the Role * Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field * 4+ years of experience in AI/ML, data science, or applied AI engineering * Strong programming skills in Python * Solid understanding of machine learning fundamentals and evaluation techniques * Familiarity with prompt engineering and working with large language models (LLMs) * Experience with Retrieval-Augmented Generation (RAG) architectures * Experience working with APIs and integrating AI into applications * Familiarity with orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar), * Hands-on experience with Amazon Sagemaker and Bedrock for machine learning and generative AI applications * Familiarity with Bedrock Amazon Guardrails and Knowledge Bases * Hands-on experience with Amazon AgentCore for running agentic AI applications * Experience designing agentic workflows (multi-agent systems, tool-using agents, autonomous workflows) * Experience with cloud platforms such as Amazon Web Services * Knowledge of MLOps practices (Docker, CI/CD, model monitoring) ## Description We are seeking a highly motivated AI Engineer with 5+ years of experience to design, build, and deploy AI solutions, including modern agentic AI workflows. This role will focus on developing scalable ML models and intelligent agents using foundation models to automate complex business processes and enhance decision-making., * Design, develop, and deploy machine learning and AI models for business use cases * Design and fine-tune the underlying models, including reasoning chains, tool use, and agent architectures (ReAct, multi-agent frameworks, etc.) * Define agent capabilities, scope autonomous decision-making boundaries, and manage stakeholder expectations around reliability * Design / optimize prompt instructions, personas, tool descriptions, and reasoning scaffolds that guide agent behavior * Develop and orchestrate multi-step AI agents capable of reasoning, tool usage, and workflow execution * Build agentic workflows leveraging foundation models for task automation and decision support * Test AI agents against enterprise systems, APIs, tools, and data platforms * Design benchmarks and automated evaluations to measure agent reliability, accuracy, and safety across diverse scenarios * Work with structured and unstructured data for predictive and generative AI solutions * Manage and mentor a team of Data Scientists, setting clear expectations for model quality, documentation, and production readiness. * Collaborate with other data scientists, BI teams, and business stakeholders to translate requirements into AI-driven solutions * Optimize model performance, scalability, and cost efficiency * Monitor deployed models/agents and implement feedback loops and retraining strategies * Document technical designs, agent workflows, and system architecture ## Related Videos - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)