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3Pillar Global

Building digital businesses, together.

Lead AI Integration Engineer

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 1,001-5,000H1B SponsorCompany SiteLinkedIn

Location

Mexico

Posted

10 days ago

Salary

0

Seniority

Senior

8 yrs expEnglishAzureJavaPythonSDLC

Job Description

Lead AI Integration Engineer

3Pillar Global

• Design, build, and deploy intelligent backend services using Python and Azure AI Foundry. • Consume Force Account outputs by API, ensuring the system can accurately display and act on data classification and extraction. • Engineer and optimize Retrieval-Augmented Generation (RAG) pipelines over Standard Operating Procedures (SOPs) to provide contextual, accurate, and actionable insights to users. • Deliver assistive intelligence directly on the case, seamlessly integrating AI outputs into the end-user's workflow. • Design and strictly enforce a redact-before-model discipline, ensuring that all Personally Identifiable Information (PII) is stripped from payloads before data ever reaches a foundational model. • Collaborate with product, design, and engineering teams to shape AI features and translate business goals into technical execution. • Proactively identify AI-driven automation and product improvement opportunities, building prototypes to prove value. • Mentor junior engineers and champion secure, responsible AI coding practices within your team. • Troubleshoot AI-specific technical challenges, including prompt injection risks, model latency, and data leakage. • Guide team members on model selection, evaluation, fine-tuning, and Gen AI usage. • Actively evaluate emerging LLM tooling, agentic frameworks, and open-source developments for applicability to client engagements. • Own the architecture of the team's agentic and LLM systems — agent orchestration, tool integration (e.g., Model Context Protocol), retrieval, and human-in-the-loop design. • Design and implement evaluation frameworks for LLM and agentic systems — covering correctness, boundary, and intent checks — as a standard part of delivery. • Drive adoption of the agentic SDLC across the team: select and roll out AI engineering tools, define usage and governance standards, and measure their impact on delivery velocity and quality. • Establish responsible-AI and evaluation frameworks for agentic systems — guardrails, safety testing, human oversight, and model governance.

Job Requirements

  • A minimum of 8+ years of experience in software engineering, with at least 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, including prompt design, retrieval architecture, and tool/function calling (e.g., MCP)
  • Hands-on experience with leading LLMs and APIs, including OpenAI, Google Gemini, and Anthropic Claude.
  • Experience evaluating and selecting open-source and proprietary LLMs (e.g., OpenAI via Azure AI Foundry) based on accuracy, latency, scalability, cost, and overall performance for production AI solutions.
  • Knowledge of vector stores, embeddings (LangChain, LlamaIndex, etc.).
  • High level of English proficiency required to interact with a globally-based development team and client stakeholders.
  • Deep expertise in Python for backend services and AI integration (replacing traditional Java/C# requirements).
  • Demonstrated, hands-on experience utilizing Azure AI Foundry to build, deploy, and manage AI models and agents.
  • Proven track record of building and managing complex API integrations for data ingestion, extraction, and classification.
  • Strong understanding of security engineering, specifically implementing PII redaction, anonymization pipelines, and secure data handling in AI workflows.
  • Experience delivering well-tested, scalable, secure, and performant enterprise-level systems that achieve client business outcomes.
  • Strong track record of working within Agile software development frameworks.
  • Proficiency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) as a core daily practice, including pipeline construction, test generation, and documentation.

Benefits

  • Medical Insurance benefits as per company policy.
  • Life Insurance as per company policy
  • 15 days of paid vacation plus additional days based on tenure
  • Vacation bonus as per local law
  • Sick leave and paid holidays as per local law
  • Profit sharing as per local law
  • Paternity and maternity leave as per as per local law
  • Marriage, bereavement and graduation leaves as per company policy
  • Christmas bonuses as per local law
  • Work from home allowance as per company policy
  • Punctuality and attendance bonuses as per company policy
  • Food tickets as per company policy
  • Direct deposit of payroll.
  • Paid professional certifications

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