Summary: This Senior role involves building and orchestrating AI applications around LLMs, designing agents with advanced context handling, and developing backend services in Python. Highlights: 1. Build and orchestrate AI applications around LLMs, including RAG pipelines. 2. Design and implement AI Agents with strong context and memory management. 3. Develop backend services and APIs in Python using FastAPI. Remote Senior About Clarika We are dedicated to software development, IT consulting, website development, and digital transformation. We offer highly qualified tech teams experienced in delivering quality software using Agile SCRUM techniques. At Clarika, we are experts creating software solutions through a diverse set of technologies and frameworks delivering as expected using agile SCRUM methodologies. About the position **Responsibilities** -------------------- * Build applications around LLMs, including RAG pipelines, memory systems, context engineering, and multi\-agent orchestration. * Design and implement AI Agents with strong context handling, memory management, and advanced prompt engineering. * Develop backend services and APIs in Python using FastAPI. * Build event\-driven architectures and integrate LLM\-based features across distributed backend services. * Create backend services oriented to communication channels such as chat interfaces and conversational systems. * Integrate observability tools such as Langfuse, Langsmith, Opik, or similar, for monitoring AI Agents and LLM applications. * Work with vector databases such as Elastic Search, Chroma, Pinecone, etc. * Collaborate in architecture design for AI\-powered systems, API ecosystems, and multi\-service environments. * Integrate AI Agents and LLM services with CPaaS platforms and communication APIs (Meta APIs or similar). * Collaborate with frontend teams and provide support for client\-facing integrations when needed. **Requirements** ---------------- * Strong experience building applications around LLMs. * Strong Python skills and backend development experience. * Experience using LangGraph and LangChain (experience with other LLM frameworks is also valued). * Experience in context engineering, memory and context handling for AI Agents. * Experience with observability tools like Langfuse, Langsmith, Opik, or similar. * Experience building APIs in FastAPI. * Experience in event\-driven architectures. * Experience building backend services oriented to communication channels like chat. * Valuable experience using Meta communication APIs. * Valuable experience working with CPaaS platforms. * Good English communication skills. * Desirable experience with any frontend framework. * Desirable experience with TypeScript. Clarika is officially certified as a **Great Place to Work®.** That means you’ll join a team where collaboration, innovation, and growth aren’t just words — they’re what we live every day.