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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