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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying advanced Generative AI solutions, with a strong focus on transformer-based models, LLM architectures, and production-grade Python coding practices. Proven ability to collaborate effectively across teams and implement Responsible AI practices in production environments.
Highest-signal resume keywords
Generative AI Solutions DesignTransformer-Based Models ExpertiseLLM Frameworks ExperienceProduction-Grade Python CodingCloud-Native Architecture Experience
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, architect, and deploy advanced Generative AI solutions in production
- Contribute to production-grade AI solutions using LLMs, transformer-based models, RAG pipelines, and agentic systems
- Design, develop, and optimize multi-step AI agents with tool/API invocation, reasoning chains, and state management
- Support deployment and optimization of AI-powered applications across AWS, Azure, or GCP
- Contribute to prompt engineering, evaluation frameworks, and model performance monitoring
- Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls
- Collaborate with Data Scientists, Software Engineers, Product stakeholders, and MLOps teams
- Take AI solutions from prototype to full production
- Share knowledge and support engineers in developing modular, maintainable Python code
- Contribute to experimentation strategies, define KPIs, and promote data-driven decision-making
Requirements
What you’ll need- Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)
- Strong expertise in transformer-based models and LLM architectures
- Proven experience designing and deploying applied machine learning or generative AI systems to production environments
- Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents, or similar tools
- Advanced proficiency in Python and production-grade coding practices
- Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures
- Strong leadership skills with the ability to bridge rapid prototyping and scalable production deployment
- Excellent collaboration and communication skills, with experience working at the intersection of Data Science and Engineering
Benefits
Comp & perks- Certifications in AWS, Databricks, and Snowflake
- Access to AI learning paths
- Study plans, courses, and additional certifications tailored to the role
- Access to Udemy Business
- English lessons
- Travel opportunities to attend industry conferences and meet clients
- Career development plans and mentorship programs
- Special day rewards for birthdays, work anniversaries, and other personal milestones
- Company-provided equipment
- Flexible working options
- Other benefits may vary according to location in LATAM
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative AILLM ArchitecturesPythonMachine LearningPrompt EngineeringContainerizationCI/CD PipelinesData-Driven Decision-MakingModel Performance MonitoringTool/API Invocation
Soft Skills
LeadershipCollaborationCommunication
Tools & Technologies
LangChainLlamaIndexOpenAI APICrewAIAzure Prompt FlowAWS Bedrock Agents
Industry Keywords
Responsible AIBias ReductionContent ModerationState ManagementRapid Prototyping