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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer (Conversational AI) - **Company:** Top Job - **Location:** Delhi, LA, United States (Remote available) - **Experience:** Expert - **Salary:** $38,600.0 - $51,800.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Automation of Tests, Cloud Computing, Continuous Integration, Software Design Patterns, Machine Learning, Regression Testing, Software Deployment, Software Engineering, Chatbots, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Front End Software Development, Virtual Agents - **Published:** August 25, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pechqzlaka ## About the Role LLM RAG Agentic AI Gen AI Prompt Engineering retrieval OpenAI Anthropic Gemini, * 5+ years of experience building AI-powered applications in production * Experience with conversational AI systems, including voice and/or chat applications * Experience building AI evaluation frameworks, automated testing pipelines, benchmarking, and regression testing * Experience integrating multiple AI providers such as OpenAI, Anthropic, Gemini, or similar * Experience deploying, monitoring, and maintaining AI applications in production environments * Full-stack development experience with modern backend and frontend technologies * Experience with cloud platforms, APIs, CI/CD pipelines, and production deployments * Strong software engineering fundamentals, including clean architecture, design patterns, testing, and maintainable code * Ability to evaluate multiple AI approaches based on quality, reliability, latency, and cost * Ability to independently own complex AI projects from design through production with minimal supervision, * Experience building traditional ML applications * Experience with AI observability, tracing, and monitoring * Experience mentoring engineers and driving engineering best practices More Skills AI system design, context management, memory, multi-agent workflows, reasoning pipelines, AI evaluation frameworks, automated testing pipelines, benchmarking, regression testing, software engineering, clean architecture, design patterns, testing, cloud platforms, APIs, CI/CD pipelines, production deployments, backend technologies, frontend technologies, AI observability, tracing, monitoring, traditional ML applications ## Description * Design, develop, and maintain production-grade conversational AI systems * Own AI features from technical design through deployment and production support * Design scalable AI architectures and agent workflows * Build and maintain AI evaluation frameworks, benchmarks, and automated testing pipelines * Continuously improve AI quality through experimentation, evaluation, and data-driven optimization * Integrate multiple AI providers and select the best models for different use cases * Monitor production AI systems and proactively improve reliability, quality, and performance * Collaborate with product, frontend, and backend teams to deliver end-to-end AI features * Review technical designs and contribute to engineering best practices * Troubleshoot complex AI and production issues while ensuring high-quality, maintainable solutions * Stay up to date with the latest advancements in Generative AI and apply them where they create business value ## Related Videos - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) - [From conversational job search to AI agents, must we reinvent recruitment?](https://www.wearedevelopers.com/videos/100252-from-conversational-job-search-to-ai-agents-must-we-reinvent-recruitment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past)