Job Summary: Python Developer (AI) to design, implement, and optimize RAG architectures, Agent-based RAG solutions, and multi-agent systems at Infosys Brasil. Key Highlights: 1. Global engagement with national and/or international clients and/or projects. 2. Opportunity for international career mobility. 3. Flexible working hours. **Infosys Brasil** is seeking professionals with the profile of **Python Developer (AI)** to join our team. **Required Qualifications:** ----------------------------- * Strong Python development experience, with a focus on data applications and Artificial Intelligence. * Proficiency in Generative AI frameworks such as LangChain, LlamaIndex, Haystack, or equivalents. * Hands-on experience implementing RAG and Agent-based RAG in production environments. * In-depth knowledge of embeddings and vector databases (Pinecone, Weaviate, Qdrant, ChromaDB, pgvector). * Experience with LLM APIs: OpenAI, Anthropic Claude, Google Gemini, as well as open-source models (Llama, Mistral). * Familiarity with MCP (Model Context Protocol) and agent integration patterns. * Understanding of A2A (Agent-to-Agent) protocols applied to multi-agent systems. * Experience orchestrating agents and workflows using CrewAI, AutoGen, or LangGraph. * Solid knowledge of NLP, including tokenization and chunking techniques. ### **Preferred Qualifications (Desirable Knowledge):** * Experience with fine-tuning language models. * Knowledge of LLM evaluation techniques (benchmarks, RAGAS, human evaluations). * Familiarity with MLOps and model deployment processes in production. * Experience with multimodal AI solutions (vision, audio). * Participation in or contributions to AI communities (articles, open-source, talks). * Cloud AI/ML certifications (AWS, GCP, or Azure). **Key Responsibilities:** ---------------------------------------------- * Design and implement advanced RAG (Retrieval-Augmented Generation) architectures. * Develop Agent-based RAG solutions, including autonomous planning and execution mechanisms. * Build, optimize, and maintain embedding pipelines and vector knowledge bases. * Implement integrations using MCP, connecting AI models to external tools. * Develop and orchestrate multi-agent systems with A2A communication. * Perform fine-tuning, prompt engineering, and continuous adjustments to optimize models. * Build interfaces and APIs for user interaction with AI-based systems. * Evaluate and select the most suitable language models for each business requirement. * Implement guardrails, validations, and security mechanisms to ensure reliability of AI-generated responses. **Employment Type:** CLT, flexible working hours. **Benefits Package:** Transportation Allowance, Meal Voucher, Childcare Assistance, Life Insurance, Funeral Assistance, Health and Dental Plans. **Career Path:** Global engagement with national and/or international clients and/or projects; opportunity for international career mobility.