
Mid-level Prompt Engineer
Capco
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Tech Stack
About the role
- Collaborate with business stakeholders, product teams, and domain experts to understand business problems, data sources, and success metrics for projects and systems integrated with AI models.
- Build agents and other integrated software systems.
- Demonstrate knowledge and a mindset to provide high-quality training support for business teams.
- Design and execute experiments with LLMs.
- Evaluate model performance and experimental results, and iterate quickly based on findings.
- Present findings, data-driven insights, and actionable recommendations for next steps to both technical and, primarily, non-technical audiences.
- Contribute ideas and insights, apply innovative evaluation methods, and help design product features that leverage LLM capabilities.
Requirements
- Strong knowledge of GenAI models, their differences, applications, and available tools in the market.
- Familiarity with backend development and building APIs in Python, JavaScript/TypeScript, or equivalent.
- Experience interacting with AI models via APIs.
- Familiarity with Git-based development, CI/CD, and managing deployments in Kubernetes environments.
- Familiarity with project management knowledge areas is a strong plus.
- Experience building emerging technologies integrated with LLMs, such as RAGs, MCPs, or multi-agent systems.
- Familiarity with data science methodologies (data analysis, evals, or advanced statistical analysis techniques).
- Machine learning experience (e.g., model inference and training).
Benefits
- We value diversity in all its forms.
- Inclusive culture.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GenAI modelsPythonJavaScriptTypeScriptAPIsKubernetesCI/CDmachine learningdata analysisstatistical analysis
Soft Skills
collaborationcommunicationproblem-solvinginnovationdata-driven insightstraining supportpresentation skillsiterative developmentstakeholder engagementadaptability