About this role

Design system architectures involving LLMs, intelligent agents, and multi-agent systems;
Develop end-to-end Generative AI pipelines, from experimentation to production deployment;
Build autonomous agents, custom tools, functions, and integrations with external APIs;
Implement orchestration between agents, memory systems, expanded context windows, and decision-making mechanisms;
Conduct evaluation, monitoring, and observability of models (RAG, agents, prompts, and behaviors);
Optimize cost, latency, and quality of production solutions;
Work with prompt versioning, automated testing, and continuous validation;
Collaborate with product, marketing, journalism, analytics, and data engineering teams to evolve the company’s Generative AI platform.

Strong proficiency in Python;
Hands-on experience with LLMs (OpenAI, Gemini, Anthropic, etc.);
Experience with agent frameworks (LangChain, LlamaIndex, CrewAI or equivalents);
Experience with deployment (Docker, Kubernetes, CI/CD) and cloud platforms (AWS/GCP/Azure);
Knowledge of vector databases (Pinecone, Weaviate, Milvus, Chroma);
Familiarity with distributed architectures, APIs, and engineering best practices.

Generative AI Engineer III

Key skills