What are the responsibilities and job description for the AI/ML Developer position at Jobgether?
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a AI/ML Developer | Mid in Brazil.
This role sits at the forefront of Generative AI development, focusing on building intelligent, scalable applications powered by modern LLM ecosystems.
You will contribute to the design and implementation of AI agents, orchestration workflows, and retrieval-augmented generation (RAG) solutions in cloud environments.
The position involves hands-on development using AWS services, including Amazon Bedrock, and integration with advanced frameworks such as LangChain and LangGraph.
You will work on building conversational systems, intelligent assistants, and document understanding pipelines that directly impact business processes.
The environment is highly collaborative, data-driven, and innovation-oriented, with strong exposure to distributed architectures and AI-native platforms.
You will also contribute to the evolution of AI architecture, ensuring observability, testing, and scalability of production-grade solutions.
- Design, develop, and implement Generative AI solutions using AWS services, especially Amazon Bedrock.
- Build and evolve intelligent agents using frameworks such as LangChain and LangGraph, including orchestration of multi-agent workflows.
- Develop RAG-based solutions for enhanced contextual retrieval and intelligent information processing.
- Create AI-powered applications such as chatbots, virtual assistants, classification systems, and document intelligence solutions.
- Model and implement graph-based data structures using tools like Neo4j and Cypher when applicable.
- Integrate systems and AI agents using APIs and protocols such as MCP (Model Context Protocol).
- Ensure observability, monitoring, testing, and reliability of AI applications in production environments.
- Collaborate with cross-functional teams to design scalable, cloud-based AI architectures.
Requirements:
- Degree in Information Technology or related postgraduate qualification (minimum 360 hours recognized).
- At least 4 years of professional experience in technology, with focus on AI/ML or software development.
- Hands-on experience developing Generative AI solutions and integrating LLM-based systems.
- Strong knowledge of AWS, especially Amazon Bedrock.
- Experience with LangChain and/or LangGraph frameworks.
- Experience building AI agents, chatbots, virtual assistants, and RAG-based solutions.
- Solid understanding of APIs, system integrations, and version control using Git.
- Knowledge of testing practices, observability, monitoring, and data modeling.
- Strong analytical thinking and problem-solving skills.
- Nice to have: Neo4j and Cypher, MCP, GraphRAG, Kiro or AI-assisted development tools, and distributed cloud architectures.
Benefits:
- Competitive compensation aligned with market standards
- 100% remote work model
- Opportunity to work with cutting-edge Generative AI and cloud technologies
- Career development in a highly innovative and AI-focused environment
- Exposure to global-scale digital transformation projects
- Collaborative and knowledge-sharing engineering culture
- Learning opportunities with advanced AI tools and frameworks
- Flexible work environment focused on autonomy and results
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1