About this role

Develop and implement LLM-based agents
Design and evolve workflows and chains
Multi-agent architectures
Develop integrations with: APIs, databases, internal systems, and document sources
Implement solutions using frameworks such as LangChain, LangGraph, Agno, or equivalents
Work with: RAG (Retrieval-Augmented Generation), memory and context, model evaluation and reliability
Ensure best practices for: versioning, testing, deployment, and operation of applications
Create reusable components and technical patterns
Support the evolution of the AI architecture and tech stack
Work autonomously in a dynamic, evolving environment

Hands-on experience developing solutions using LLMs
Strong proficiency in Python
Experience with agent architectures and workflows
Multi-agent systems
Experience with generative AI frameworks: LangChain, LangGraph, Agno, or similar
Knowledge of RAG (Retrieval-Augmented Generation)
Memory in AI applications
Observability and model evaluation
Experience with API integrations
Databases and enterprise systems
Software engineering experience: version control (Git), testing, deployment, and operations

Senior AI Developer – Agents, LLMs

Key skills