AI 工程师（生成式 AI）
AI Engineer (GenAI)
公司简介
在Bridgenext，我们构建增长操作系统。大多数企业投入了数百万美元在其收入系统上，但仍未能实现预期的增长。他们拥有可以运行的工具，但没有能带来胜利的系统。我们帮助追求增长的公司填补这一差距，将分散的平台、孤立的团队和断开的数据整合成一个统一的增长操作系统。我们不仅仅是一家科技公司或营销机构，而是一家全球数字咨询公司，拥有工程、数据、AI、创意等领域的专家。
我们的团队由相信工程影响力的专业人士组成，从将人们置于一切中心开始。每位团队成员直接塑造我们的工作、文化和价值观。我们最重视的是一个友善、尊重、充实的环境，支持每个人。我们灵活、包容的文化为你提供自主权、资源和机会以取得成功。
职位描述
我们正在寻找一位高度积极的AI工程师（生成式AI方向）加入我们的项目团队，为我们的跨国专业服务客户在微软Azure上构建一个以AI为核心平台。该职位结合了实际的生成式AI/代理开发与扎实的软件工程基础，在一个重视快速迭代、严格测试和与客户利益相关者紧密合作的团队中工作。
职责：
- 在Azure AI Foundry上设计和构建生成式AI功能——实现并迭代代理，包括系统提示设计、工具/功能调用和多步骤代理编排
- 为非确定性系统引入工程严谨性：设计评估，测量输出质量，并通过自动化测试和CI检测回归问题
- 利用AI编码工具和代理（如Factory/Droid、GitHub Copilot）加速交付，对模型权衡做出合理判断，并决定何时使用每种工具
- 为我们的.NET微服务架构在Azure上的开发做出贡献，包括在不同环境中的部署和维护
- 改进代码库的工作流程和CI/CD流水线，减少摩擦，确保团队能够干净地持续交付
- 与项目领导合作，快速迭代并保持与客户需求一致
工作地点：仅限哥伦比亚或阿根廷的候选人远程办公
必备技能：
- 计算机科学、软件工程或相关领域的学士或硕士学位（或同等经验）
- 作为AI工程师或高级全栈开发人员的实战经验，专注于生成式AI
查看英文原文
Company Overview
At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.
Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.
Position Description
We're seeking a highly motivated AI Engineer (GenAI) to join our project team building an AI-first platform on Microsoft Azure for our multinational professional services client. This role blends hands-on GenAI/agent development with strong software engineering fundamentals, in a team that values fast iteration, rigorous testing, and close collaboration with client stakeholders.
Responsibilities:
- Design and build GenAI features on Azure AI Foundry — implementing and iterating on agents, including system prompt design, tool/function calling, and multi-step agent orchestration
- Bring engineering rigor to non-deterministic systems: design evals, measure output quality, and catch regressions through automated testing and CI
- Leverage AI coding tools and agents (e.g., Factory/Droid, GitHub Copilot) to accelerate delivery, applying sound judgment on model trade-offs and when to use each
- Contribute to our .NET microservices architecture on Azure, including deployment and maintenance across environments
- Improve repository workflows and CI/CD pipelines to reduce friction and keep the team shipping cleanly
- Partner with project leadership to iterate quickly and stay aligned with client requirements
Workplace: This is a remote position for candidates based in Colombia or Argentina only
Must Have Skills:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
- Proven experience as an AI Engineer or senior full-stack developer with a strong focus on Generative AI
- Proficiency in .NET
- Hands-on experience with frontend frameworks such as React (preferred) or Angular
- Hands-on experience building LLM/agent features on Azure AI Foundry (or equivalent), with a solid grasp of agent fundamentals: system prompts, tool/function calling, and orchestration
- Familiarity with evaluating AI systems — designing evals, measuring output quality, and regression testing
- Expert-level usage of AI coding assistants/agents (e.g., Factory, Droid, Cursor, GitHub Copilot) to accelerate delivery
- Experience with Azure DevOps — repository management, CI/CD pipelines, and environment configuration
- Strong understanding of cloud-native and microservices architectures
Preferred Skills:
- Knowledge of RAG architectures and large-scale document processing
- Experience with Semantic Kernel or similar agent/orchestration frameworks
- Familiarity with Streamlit or similar tools for rapid prototyping and client demos
- Certifications in Microsoft Azure or AI-related specialized fields
- Experience working under high-velocity agile frameworks
- Microservices experience a plus
Professional Skills:
- Excellent English communication and interpersonal skills
- Excellent problem-solving skills and comfort operating in a fast-paced, iterative environment.
- Strong organizational and time management skills
- Strong team and individual player
- Maintains composure during all types of situations and is collaborative by nature
- High standards of professionalism, consistently producing high quality results
Bridgenext is an Equal Opportunity Employer
Originally posted on Himalayas