Senior AI Developer
New
J
JobgetherGenerative AI
Based in BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonRESTful APIsPrompt EngineeringGenerative AILangChain
Requirements
- Advanced Python development skills, including experience building reliable, maintainable applications and backend services.
- Professional experience developing and orchestrating LLM-powered applications with LangChain, LlamaIndex, or comparable frameworks.
- Practical knowledge of Langfuse or similar observability platforms for tracing AI agents and analyzing performance and costs.
- Strong prompt engineering skills for complex conversational use cases.
- Experience integrating enterprise applications and services through REST APIs.
- Knowledge of secure communication mechanisms such as mutual TLS (mTLS).
- Understanding of generative AI architectures, conversational workflows, and production deployment challenges.
- Ability to diagnose technical issues and optimize application performance, reliability, and accuracy.
- Familiarity with NVIDIA NeMo Guardrails or similar frameworks is a plus.
- Knowledge of Model Context Protocol (MCP), Oracle Cloud Infrastructure Generative AI SDK, Docker, Kubernetes, Oracle Kubernetes Engine, Redis, or GPU-based infrastructure is a plus.
Responsibilities
- Design, develop, and maintain Python-based orchestration services for generative AI agents supporting voice and chat channels.
- Build and optimize conversational workflows for low latency, high accuracy, and consistent user experiences.
- Implement LLM orchestration using LangChain, LlamaIndex, or similar frameworks.
- Configure AI security and safety layers, including guardrails.
- Integrate CRM, billing platforms, and legacy systems through APIs and Model Context Protocol servers.
- Implement Langfuse observability, including trace instrumentation and monitoring of latency, performance, costs, and response quality.
- Collaborate with SRE teams to deploy and operate AI applications on Oracle Cloud Infrastructure, including Oracle Kubernetes Engine.
- Work with data scientists to evaluate and refine LLM responses and optimize models and workflows.
- Apply prompt engineering to improve instruction following, contextual relevance, and response accuracy.
- Troubleshoot production issues and improve application reliability, scalability, and efficiency.
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