Senior Specialist in AI Agents developing and evolving decision-making logic for autonomous AI agents. Focused on reliability, scalability, and business value with deep technical expertise.
Responsibilities
Design and implement AI agents with structured decision logic, tool usage, memory, and flow control
Develop architectures based on RAG (Retrieval-Augmented Generation) for responses grounded in internal data
Integrate LLMs with enterprise systems via APIs, databases, internal services, and external platforms
Define prompt engineering strategies, evaluation processes, and continuous performance improvement for agents
Structure data pipelines for indexing, embeddings, and vector search
Contribute to defining architectural standards, code quality, and engineering best practices for AI solutions
Collaborate with product, data, and engineering teams to translate business needs into agent-based solutions
Provide technical support and mentorship to mid-level and junior developers, fostering the team's technical growth
Requirements
Senior hands-on profile, capable of implementing agents' internal logic beyond the conversational layer
Advanced proficiency in Python (preferred for AI) or Node.js/TypeScript
Practical experience with agent orchestration frameworks such as LangChain, LlamaIndex, Agno/PhiData, or CrewAI
Experience with vector databases for semantic search
Advanced expertise in RAG (Retrieval-Augmented Generation) techniques
Experience integrating and tuning prompts for LLMs such as GPT-4, Claude 3.5 Sonnet, as well as open-source models like Llama 3 and Mistral
Experience with cloud AI services such as AWS Bedrock, Azure OpenAI Service, or Google Vertex AI
Solid knowledge of RESTful APIs, microservices architecture, and containerization with Docker
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