Design and develop complex, multi-agent AI systems using frameworks like LangChain and integrate with LLMs and various APIs for Pharma and Life Sciences.
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.
Role description:
We're looking for a Full-Stack Developer with hands-on experience in bulding multiagentic AI architecture for our product eWizard.
Responsibilities:
- Design, develop, and deploy complex, multi-step 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.
- Build retrieval layers (e.g., hybrid search, vector search, metadata filtering) optimized for LLM consumption.
- Stay up to date with cutting-edge technologies and best practices for building Gen AI-based applications.
Requirements:
- Proficiency in Typescript and Node.js.
- Solid understanding of software design principles, design patterns, and modern development best practices.
- Experience with NoSQL and vector databases (OpenSearch preferable).
- Hands-on experience in designing and implementing AI agent workflows with tool-use, memory, and context management.
- Deep understanding of agentic behaviors and patterns, such as planning, retrieval and self-correction.
- Deep knowledge of LangChain and LangGraph libraries. Production experience preferable.
- Practical experience in implementing RAG workflows.
- Practical experience in evaluating and testing AI systems.
- Knowledge and experience working with AI agentic architectures.
Nice to have:
- Experience working with a microservices-based architecture.
- Experience with AWS (S3, Lambda, ECS, Bedrock).
- Experience with Docker & Kubernetes.
- Python knowledge.
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.
Top Skills
AWS
Docker
Kubernetes
Langchain
Langgraph
Node.js
Opensearch
Typescript
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