Senior AI NodeJS Engineer

About the role

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

We are seeking a dynamic and motivated Senior AI NodeJS Engineer with a strong focus on developing AI Agents. If you have an understanding of AI technologies and thrive on applying diverse tech stacks to build innovative solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements.

WHAT YOU WILL DO

- Collaborate with cross-functional teams to design and build AI Agentic solutions.

- Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production.

- Take ownership of assigned tasks and deliver high-quality, maintainable code.

- Manage backend tasks while contributing to frontend development.

- Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge.

- Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.

EXPERIENCE AND SKILLS YOU NEED TO JOIN US

- Experience in full-stack development using mainly NodeJS (with TypeScript).

- At least 1 year of experience in AI Engineering role.

- Versatile in technology use, comfortable working across backend and frontend tasks.

- Track record in staying current with AI and Agentic technologies, including best practices and architecture.

- Openness to client collaboration, fostering clear communication and effective partnership.

- Strong commitment to learning new technologies and swiftly adapting to new products and APIs.

- Understanding of Retrieval-Augmented Generation (RAG) and its applications.

- Familiarity with Multi-Agents concept, tools usage and MCP Servers.

- Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic).

- Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience.

- Understanding of prompt design principles and an ability to create effective prompts.

- Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP).