Expert Artificial Intelligence/Machine Learning Engineer
New
J
JobgetherArtificial Intelligence
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years of professional software engineering experience, with at least 2.5 years building and deploying Large Language Model applications in production.
- Required Skills
- PythonMachine LearningTypeScriptPrompt EngineeringLLM
Requirements
- 8+ years of professional software engineering experience.
- At least 2.5 years building and deploying Large Language Model applications in production.
- Proven hands-on experience developing LLM-powered agents, RAG systems, and tool-use workflows.
- Strong proficiency in Python and TypeScript.
- Strong software engineering and API development skills.
- Solid experience with prompt engineering and context engineering.
- Demonstrated ability to design and implement LLM evaluation processes.
- Experience working with customer systems, external data sources, and production environments.
- Strong analytical, problem-solving, and collaboration skills.
- Experience with Information Retrieval (IR) techniques is desirable.
- Experience handling healthcare data is a plus.
- Experience with AI application cost optimization is desirable.
- Knowledge of Intelligent Automation is advantageous.
Responsibilities
- Build and deploy LLM-powered agents and intelligent workflows using established templates, pipelines, and guardrails.
- Develop production-ready AI solutions that translate business use cases into reliable and scalable systems.
- Design and execute Large Language Model evaluations as an integral part of the development lifecycle.
- Create evaluation suites and continuously assess the quality, reliability, and performance of AI-powered applications.
- Integrate AI applications with customer systems, APIs, databases, and other relevant data sources.
- Implement instrumentation and telemetry to monitor system quality, usage, performance, and costs.
- Apply effective prompt engineering and context engineering techniques to improve the reliability and usefulness of AI applications.
- Collaborate directly with business users and stakeholders to understand requirements and iterate rapidly.
- Contribute to technical decisions and continuously improve the development patterns, workflows, and practices.
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