Software Engineer Generative AI

CORUS Consulting; Jaboatão dos Guararapes; Teletrabalho; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A leading consulting firm is seeking a highly skilled Software Engineer specializing in Generative AI to join their fully remote team. The role involves building cloud-native platforms for Generative AI and LLM development, focusing on scalable and efficient systems. Ideal candidates will have expertise in various programming languages and frameworks, along with a strong background in conversational AI and data management.

Qualificações

• Proven experience in Generative AI / LLM-based development.
• Experience with key LLM model APIs and frameworks.
• Expertise in building enterprise-grade data ingestion pipelines.

Conhecimentos

Advanced English proficiency

Generative AI

Conversational agent-based UX

Multi-agent frameworks

Text embeddings

Knowledge graphs

RAG concepts

Python

TypeScript

Node.js

React.js

Ferramentas

AWS Bedrock

Azure OpenAI

OpenAI

LangChain

LlamaIndex

Kubernetes

Docker

Descrição da oferta de emprego

Corus Consulting is a consulting firm with more than 15 years of experience working with various clients worldwide; we have a presence in Europe, the United States, Asia, and Mexico.

We are looking for talented individuals to join us as:

Software Engineer Generative AI

Description:

We are seeking a highly skilled and experienced full-stack Software Engineer Expert Senior Manager with expertise in Generative AI / LLM to join our Gen AI platform team. This role focuses on building and maintaining cloud-native platforms specifically designed for Generative AI and Large Language Model (LLM) development. The ideal candidate will have a strong background in reusable software components, frameworks, microservices, APIs, cloud infrastructure, and DevOps/MLOps/LLMOps, with a passion for creating scalable, reliable, and efficient systems.

Location:

Fully Remote in Mexico, Colombia, or Brazil

Must-Have Requirements:

1. Advanced English proficiency
2. Proven experience in Generative AI / LLM-based development
3. Strong knowledge and experience in building conversational agent-based UX
4. Experience working with key LLM model APIs (e.g., AWS Bedrock, Azure OpenAI, OpenAI) and frameworks (e.g., LangChain, LlamaIndex)
5. Experience with multi-agent frameworks and understanding of multi-agent systems in complex problem-solving scenarios
6. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data, including indexing, search, and advanced retrieval patterns
7. Proficiency in generating and working with text embeddings, understanding embedding spaces, and their applications in semantic search and information retrieval
8. Experience in building knowledge graphs in production
9. Knowledge of RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search) and experience implementing RAG systems combining knowledge bases with Generative AI models
10. Proficiency in Python, TypeScript, Node.js, React.js (or equivalents), and associated GenAI libraries and frameworks
11. Experience with containerization and orchestration technologies such as Kubernetes and Docker