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Senior Full Stack Engineer, AI Platform & Agents(m/w/x)
Developing GenAI deployment platform components and developer tooling for B2B software in sustainability, health, and financial services. 5+ years software engineering experience, with cloud-native system delivery expertise required. Remote-first work environment, with team onsites.
Requirements
- 5+ years software engineering experience
- Full-stack development and cloud experience
- Expertise in AI agents or backend
- Track record delivering cloud-native systems
- Problem-solving, ownership, and communication skills
- Independent and team-based software delivery
- Experience productionizing AI agents
- Experience with LangChain, MCP, and RAG
- Experience with traditional ML tasks
- Understanding of LLMs and fine-tuning
- Familiarity with SOC2 and HIPAA
Tasks
- Design and implement full-stack applications and AI agents
- Develop platform components for GenAI deployment and validation
- Build developer tooling and CI/CD pipelines
- Implement observability for cost and quality telemetry
- Apply secure SDLC and privacy-by-design practices
- Perform threat modeling and ensure least privilege access
- Collaborate with product and UX teams on customer solutions
- Apply LLM patterns like RAG and routing
- Optimize AI systems for reliability and lower costs
- Write high-quality and maintainable code
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- CI/CD
- Infrastructure as Code
- LangChain
- LangGraph
- MCP
- OpenSearch
- Vector/RAG systems
Benefits
Flexible Working
- Hybrid work options
- Remote-first work environment
Team Events
- Team onsites and offsites
- Home
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Senior Full Stack Engineer, AI Platform & Agents(m/w/x)
Developing GenAI deployment platform components and developer tooling for B2B software in sustainability, health, and financial services. 5+ years software engineering experience, with cloud-native system delivery expertise required. Remote-first work environment, with team onsites.
Requirements
- 5+ years software engineering experience
- Full-stack development and cloud experience
- Expertise in AI agents or backend
- Track record delivering cloud-native systems
- Problem-solving, ownership, and communication skills
- Independent and team-based software delivery
- Experience productionizing AI agents
- Experience with LangChain, MCP, and RAG
- Experience with traditional ML tasks
- Understanding of LLMs and fine-tuning
- Familiarity with SOC2 and HIPAA
Tasks
- Design and implement full-stack applications and AI agents
- Develop platform components for GenAI deployment and validation
- Build developer tooling and CI/CD pipelines
- Implement observability for cost and quality telemetry
- Apply secure SDLC and privacy-by-design practices
- Perform threat modeling and ensure least privilege access
- Collaborate with product and UX teams on customer solutions
- Apply LLM patterns like RAG and routing
- Optimize AI systems for reliability and lower costs
- Write high-quality and maintainable code
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- CI/CD
- Infrastructure as Code
- LangChain
- LangGraph
- MCP
- OpenSearch
- Vector/RAG systems
Benefits
Flexible Working
- Hybrid work options
- Remote-first work environment
Team Events
- Team onsites and offsites
About the Company
Wolters Kluwer
Industry
Healthcare
Description
The company is a portfolio of B2B software and information services serving professionals in sustainability, health, legal, risk, tax, and financial services.
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