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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed AI Engineer - **Company:** Trane U.S. Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $165,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Databases, Python (Programming Language), Software Construction, Systems Integration, TypeScript, ReactJS, Large Language Models, Production Code, Data Pipelines - **Published:** August 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=582a01d18143fc1f ## About the Role * 2+ years of experience building software or applied AI systems * Strong Python fundamentals and comfort working across APIs, databases, cloud infrastructure, and unfamiliar systems * Hands-on experience building with LLMs through professional work, research, or substantive independent projects * Evidence that you have shipped something real and can explain how it evolved after reaching users * The ability to move comfortably between a client conversation and a technical implementation * Strong product and business judgment. You want to understand why something should be built, not just how to build it * A high degree of ownership. You identify what needs to happen next and take responsibility for making it happen * Clear communication and the ability to build trust with both engineers and operators * Comfort operating in fast-moving environments where the problem is not fully defined Experience with production LLM applications, agentic workflows, RAG, evaluation systems, TypeScript, React, or cloud deployment is helpful but not required. Experience in healthcare, education, financial services, or another regulated industry is also a plus. ## Description As a Forward Deployed AI Engineer, you will work directly with client executives, operators, and technical teams to turn high-value business problems into production AI systems. You will own the full journey: understanding the workflow, defining what should be built, designing the technical approach, shipping the system, and improving it until it delivers measurable results. This is a hands-on engineering role. You will write production code, make architecture decisions, and work directly with users. You will also need the judgment to prioritize the right problem, communicate clearly with clients, and keep an engagement moving through ambiguity. We are not looking for someone who only wants to build prototypes or work from detailed specifications. We are looking for someone who wants to figure out what matters and own the outcome. What You'll Do * Work directly with clients to understand their operations, data, systems, and business objectives * Identify and prioritize AI applications based on feasibility and measurable financial impact * Design, build, and deploy production AI systems, including agents, workflow automations, data pipelines, integrations, and internal applications * Own technical workstreams from initial discovery through deployment, adoption, and iteration * Build evaluation, monitoring, and human-review systems that make AI reliable in real-world workflows * Communicate progress, decisions, risks, and tradeoffs to both technical teams and senior executives * Turn lessons from client engagements into reusable tools, patterns, and engineering standards * Step into whatever gaps stand between a promising idea and a successful production system ## Related Videos - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [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) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Vuejs and TypeScript- Working Together like Peanut Butter and Jelly](https://www.wearedevelopers.com/videos/127-vuejs-and-typescript-working-together-like-peanut-butter-and-jelly) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)