Senior AI Engineer
New
J
JobgetherAI software
Work remotely from BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSDockerNode.jsPythonCI/CDRESTful APIsLangChain
Requirements
- Strong experience designing, developing, and deploying applications based on LLMs, including chatbots, copilots, and AI agents.
- Proficiency in back-end development using Python or Node.js.
- Understanding of REST APIs, microservices, and distributed application architectures.
- Practical experience integrating and orchestrating APIs from LLM providers such as OpenAI and Anthropic.
- Knowledge of RAG, vector embeddings, conversational memory, context management, and semantic search.
- Familiarity with LangChain or equivalent tools for building and orchestrating LLM-powered applications.
- Experience with vector databases and search technologies such as Chroma or OpenSearch.
- Understanding of AI security practices, including prompt-injection protection, context control, response validation, and guardrails.
- Experience with Docker and cloud platforms such as AWS, GCP, or Azure.
- Knowledge of CI/CD pipelines and modern software engineering practices.
- Familiarity with production monitoring, logging, tracing, and observability tools.
Responsibilities
- Design, develop, and maintain LLM-powered chatbots, copilots, and autonomous AI agents.
- Integrate and orchestrate APIs from OpenAI, Anthropic, and other AI model providers.
- Architect and implement RAG pipelines, including embeddings, vector search, contextual information, and conversational memory.
- Develop back-end services using Python or Node.js, REST APIs, and microservices.
- Implement guardrails, response validation, and AI security controls against prompt injection and context manipulation.
- Optimize model performance, response latency, token consumption, and infrastructure costs.
- Establish monitoring, logging, tracing, and observability practices for production systems.
- Deploy and manage applications on cloud platforms using Docker and CI/CD practices.
- Collaborate with engineering and analytics teams to identify bottlenecks, investigate incidents, and implement solutions.
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