全栈（AI）开发工程师（人才库）
Full Stack (AI) Developer (Talent Pool)
Viseven Group 是一家领先的全球 B2B 营销科技服务提供商，自 2009 年以来一直为制药和生命科学公司赋能。我们的使命是推动数字化转型和卓越发展，为制药行业提供全面的端到端软件和数字营销服务。公司的解决方案、产品和服务被全球前 100 强制药和生命科学公司积极使用。
在 Viseven，我们快速发展的团队拥有超过 700 名高素质的专业人士，包括开发、设计、业务分析、项目管理、交付、销售、营销和客户成功方面的专家。
我们在美国、拉美、欧洲和亚太地区 30 多个国家设有全球业务，并在乌克兰、波兰、爱沙尼亚、印度和美国设有实体办公室，能够很好地服务于我们的多元化客户。
加入我们，成为一支致力于在全球 50 多个国家塑造制药和生命科学领域数字化转型未来的企业先锋团队。
我们正在寻找一名中级全栈开发人员加入我们的团队，为 AI 驱动的解决方案开发做出贡献。
在这个职位中，您将负责中等复杂度的明确任务，与经验丰富的工程师合作，并接受指导和代码审查。您将参与更大的 AI 项目，并帮助构建由现代生成式 AI 技术驱动的可靠、可扩展的应用程序。
我们提供的福利：
我们知道团队成员是实现我们目标的关键，因此我们重视并赋权他们分享自己的愿景。我们以优越的福利回报这种热情，包括：
具有竞争力的薪酬：定期进行绩效导向的薪资和职业发展评估。
经验丰富的团队：加入一个充满激情、经验丰富的团队，氛围友好。
职业发展：提供专业和职业晋升的机会。
带薪假期：每年 18 个工作日（工作满 2 年后为 20 个工作日）。
病假：
非书面证明：每年 4 个工作日。
书面证明：每年 20 个工作日。
家庭假：结婚、生育或丧事期间提供 3 个工作日的带薪假期。
医疗保险：全面覆盖。
英语课程：提升语言技能的学习机会。
专业发展：参与论坛和会议。
企业活动：定期组织团队建设活动和聚会。
工作环境：享受舒适、设备齐全的办公室，以及居家办公的可能性。
职责：
作为中级
查看英文原文
Viseven Group is a leading global B2B MarTech service provider, empowering Pharma and LifeScience companies since 2009. Our mission is to drive digital transformation and excellence, offering comprehensive end-to-end software and digital marketing services tailored to the pharmaceutical industry. The company's solutions, products, and services are actively used by the top 100 Pharma and Life Science companies.
At Viseven, our rapidly growing team boasts over 700 highly skilled professionals, including experts in development, design, business analysis, project management, delivery, sales, marketing, and customer success.
With a global footprint in more than 30 countries across the US, LATAM, Europe, and APAC, and physical offices in Ukraine, Poland, Estonia, India, and the US, we are well-positioned to serve our diverse clientele.
Join us and become part of a pioneering team dedicated to shaping the future of digital transformation in Pharma and Life Sciences across more than 50 countries around the globe.
We are looking for a Middle Full Stack Developer to join our team and contribute to the development of AI-powered solutions.
In this role, you’ll work on well-defined tasks of moderate complexity, collaborating with experienced engineers and receiving guidance and code reviews. You’ll contribute to larger AI initiatives and help build reliable, scalable applications powered by modern Generative AI technologies.
What we provide:
We know our team members are key to achieving our goals, so we value and empower them to share their vision. We reward this passion with exceptional benefits, including:
Competitive Compensation: Regular performance-based salary and career development reviews.
Experienced Team: Join a passionate, experienced team in a friendly atmosphere.
Career Growth: Opportunities for professional and career advancement.
Paid Time Off: 18 business days per year (20 business days after 2 years of service).
Sick Leave:
Non-documented: 4 business days per year.
Documented: 20 business days per year.
Family Leave: 3 paid business days for marriage, childbirth, or bereavement.
Medical Insurance: Comprehensive coverage.
English Courses: Learning opportunities to improve your language skills.
Professional Development: Participation in forums and conferences.
Corporate Events: Regular team-building activities and events.
Work Environment: Enjoy a comfortable, fully equipped office and the possibility to work from home.
Responsibilities:
As a Middle Full stack Engineer, you'll work on well-scoped tasks of moderate complexity, with guidance and code review from senior engineers, contributing to larger AI initiatives owned by the team.
- Develop and integrate AI agents with tool-use, memory, and context management, leveraging LangChain, LangGraph, and LangSmith frameworks, and integrating with foundational Large Language Models (LLMs).
- Integrate LLMs with external tools, APIs, knowledge sources, and enterprise systems.
- Contribute to building retrieval layers (e.g., hybrid search, vector search, metadata filtering) optimized for LLM consumption.
- Stay up to date with modern technologies and best practices for building Gen AI-based applications.
Required skills & knowledge:
- Proficiency in TypeScript and Node.js.
- Good understanding of software design principles, design patterns, and modern development best practices.
- Experience with NoSQL databases; familiarity with vector databases (OpenSearch a plus).
- Familiarity with AI agent workflows (tool-use, memory, and context management), or a strong interest in building them.
- Basic understanding of agentic behaviors and patterns, such as planning, retrieval, and self-correction.
- Exposure to LangChain and/or LangGraph libraries (or a strong willingness to ramp up quickly).
- Understanding of RAG workflows; hands-on experience is a plus.
- Familiarity with evaluation and testing approaches for AI systems.
Nice to have:
- Experience working with a microservices-based architecture.
- Experience with AWS (S3, Lambda, ECS, Bedrock).
- Experience with Docker & Kubernetes.
- Python knowledge.