Lead AI Integration Engineer

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3Pillar Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 Private Equity Round on 2021-10

SaaS • Enterprise • Artificial Intelligence

3Pillar Global is a modern application strategy, design, and engineering firm that specializes in delivering strategic software development initiatives for various industries. They offer a range of services, including application technology strategy, digital product engineering, data and analytics, and artificial intelligence development. 3Pillar Global focuses on helping organizations transform their bold ideas into breakthrough solutions by leveraging cutting-edge technologies such as generative and multimodal AI. They work with partners and clients across multiple sectors, including healthcare, financial services, insurance, media, and information services, to solve complex technology challenges and deliver high-performing results.

📋 Description

• 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.

🎯 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, sick leave and paid holidays as per local law • Paternity and maternity leave as per as per local law • Marriage, bereavement and graduation leaves as per company policy • Sick leave and paid holidays as per local law • Christmas and Middle year bonuses as per local law • Monthly productivity bonus as per local law • Discounts in local shops • Direct deposit of payroll. • Paid professional certifications