Lead AI Integration Engineer

New
Teams across North America, Europe, Latin America, and AsiaFull-TimeLead
Salary not disclosed
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Job Details

Languages
High level of English proficiency required to interact with a globally-based development team and client stakeholders.
Experience
8+ years of experience in software engineering, with at least 2+ years of hands-on experience integrating LLMs and building AI-driven applications.
Required Skills
PythonAgileLLMLangChain

Requirements

  • 8+ years of experience in software engineering.
  • 2+ years of hands-on experience integrating LLMs and building AI-driven applications.
  • Demonstrated experience architecting and deploying LLM-based or agentic systems in production.
  • Deep expertise in Python for backend services and AI integration.
  • Hands-on experience utilizing Azure AI Foundry.
  • Knowledge of vector stores and embeddings (LangChain, LlamaIndex).
  • Strong understanding of security engineering, PII redaction, and anonymization pipelines.
  • Proven track record of building and managing complex API integrations.
  • High level of English proficiency.
  • Strong track record of working within Agile software development frameworks.
  • Proficiency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot).

Responsibilities

  • Design, build, and deploy intelligent backend services using Python and Azure AI Foundry.
  • Engineer and optimize RAG pipelines over SOPs to provide actionable insights.
  • Design and enforce a redact-before-model discipline for PII data protection.
  • Own the architecture of agentic and LLM systems, including orchestration, tool integration, and human-in-the-loop design.
  • Implement evaluation frameworks for LLM systems to test correctness, boundary, and intent.
  • Mentor junior engineers and champion secure, responsible AI coding practices.
  • Drive adoption of the agentic SDLC and define governance standards across the team.
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