18 days ago
Responsibilities
- Collaborate with cross-functional teams to design and build AI Agentic solutions.
- Define technical requirements and implement features across the software lifecycle.
- 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.
- Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.
Requirements
- Experience in full-stack development using mainly NodeJS (with TypeScript).
- At least 1 year of experience in an AI Engineering role.
- Versatile in technology use, comfortable working across backend and frontend tasks.
- Track record in staying current with AI and Agentic technologies.
- Openness to client collaboration and effective communication.
- Strong commitment to learning new technologies and adapting to new products and APIs.
- Understanding of Retrieval-Augmented Generation (RAG) and its applications.
- Familiarity with Multi-Agents concept and tools.
- Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic).
- Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex.
- Understanding of prompt design principles.
- Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP).
- Basic experience with CI/CD pipelines and DevOps best practices.
- Competence in REST API usage and efficient database integration.
- Fluency in English language.
Benefits
- Shape real-world AI-driven projects across key industries.
- Be part of a global team with equal opportunities for collaboration.
- Thrive in an inclusive environment that prioritizes continuous learning and innovation.