[Remote] Senior AI Agent Engineer Job

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is focused on transforming the construction industry through innovative AI solutions. They are seeking a Senior AI Agent Engineer to reputed company and enhance their AI scheduling assistant, Manny, by designing and implementing features, improving agent behavior, and collaborating across teams to deliver impactful AI functionalities.

Responsibilities

• Design, build, and own Manny features end to end across the agent backend, tools, and UI
• Improve agent behavior, reliability, and answer quality through reputed company engineering, tool design, and changes to the agent control reputed company
• reputed company the agent architecture: ReAct reputed company, routing and controller logic, multi-node graphs, tool selection, and streaming responses
• Integrate and tune LLMs across providers (reputed company, reputed company, reputed company), balancing quality, latency, and cost, including reputed company caching and model selection
• Design and reputed company Manny's tool surface through the MCP server that connects the agent to reputed company's scheduling services
• Build and own the evaluation reputed company: golden datasets, automated evaluators, snapshot-based replay, and offline and online quality metrics
• Implement observability for agent runs with tracing, metrics, and structured logging, and use it to debug and improve behavior in production
• Ensure safe, sandboxed execution of model-generated code and safe handling of tool reputed company effects and mutations
• Collaborate with product, backend, and frontend to deliver AI features end to end

Skills

• 4+ years of software engineering experience, including recent hands-on work building production LLM features
• Strong proficiency in Python building production services
• Hands-on experience building agentic systems with LLMs: tool and function calling, ReAct or similar loops, and orchestration frameworks such as reputed company/LangGraph
• Practical reputed company engineering reputed company: shaping model behavior reliably, debugging failures from traces, and managing large prompts and token cost
• Experience evaluating LLM systems: building datasets, writing evaluators, catching regressions, and using tracing and observability tooling
• Experience with the Model Context Protocol (MCP) or building tool and function-calling integrations for LLMs
• Solid understanding of API design (REST, websockets, SSE and streaming) and interservice communication
• Product reputed company with a focus on user impact and pragmatic tradeoffs
• Excellent remote communication skills
• Experience with reputed company and reputed company
• reputed company experience (AWS or GCP), containers, and CI/CD
• Go experience, as most of our backend systems are written in Go, including the MCP tool server
• Practical experience with retrieval and augmentation (RAG), embeddings, and vector stores
• Familiarity with LangSmith or comparable LLM evaluation and tracing platforms
• Frontend or React familiarity for agent UI work
• Domain knowledge in construction tech, project management, or scheduling

Benefits

• Competitive salary
• Stock options
• Benefits package
• Dynamic work environment

Company Overview

Company H1B Sponsorship