Agentic AI Engineer
New
C
CodeRoadSoftware Development
Latin AmericaFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Advanced English (written and spoken)
- Experience
- 5+ years
- Required Skills
- DockerPythonAzureLangChain
Requirements
- 5+ years of professional software development experience, with a primary focus on Python.
- 2+ years of hands-on experience building production AI agents or complex LLM workflows using LangGraph or LangChain.
- Strong practical experience with modern foundation models (Anthropic Claude, OpenAI, Google Gemini), open-weights models, and advanced prompt engineering techniques.
- Hands-on experience with LLM observability platforms (e.g., LangFuse) and automated evaluation frameworks.
- Familiarity with containerized cloud environments including Azure and Docker.
- Hands-on experience with the Microsoft 365 Agents SDK.
- Advanced English (written and spoken) is mandatory.
- High ownership mindset, strong problem-solving initiative, and an empathetic, collaborative team approach.
Responsibilities
- Design and deploy a hierarchical multi-agent workflow using LangGraph, transitioning legacy single-prompt implementations into modular agentic systems.
- Build domain-specific sub-agents featuring dynamic, on-demand context loading to optimize latency and token economics.
- Design and integrate scalable tool-calling capabilities and standardized connectors using the Model Context Protocol (MCP).
- Optimize LLM observability, reasoning traces, and cost-tracking systems by setting up and managing LangFuse.
- Lead the establishment of automated evaluation harnesses and regression testing suites using tools like PromptFlow or PromptFoo against benchmark datasets.
- Collaborate on implementing strict security guardrails and access controls following OWASP Top 10 standards for LLM applications.
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