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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Generative AI, including Prompt Engineering and RAG, to develop and deploy AI Agents throughout the Product Development Lifecycle. Strong technical communication skills facilitate collaboration with cross-functional teams and stakeholders.
Highest-signal resume keywords
Generative AI FrameworksPrompt EngineeringRAG (Retrieval-Augmented Generation)Python ProgrammingCloud Native Environments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGenerative AIPrompt EngineeringRAGMCP (Model Context Protocol)A2A (Agent to Agent)ACP (Agent Coordination Protocol)AI Agent IntegrationKnowledge GraphsAI System Monitoring
Soft Skills
Technical CommunicationCollaborationIndependent Work
Tools & Technologies
Generative AI IDEsAI AgentsCloud Environments
Industry Keywords
Product Development LifecycleAI SolutionsMulti-Agent OrchestrationAutonomous Agents
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- We are looking for AI-first engineers who use Generative AI as a foundation of software engineering.
- This role applies AI across the Product Development Lifecycle, from requirements and design to deployment and operations.
- You will design and build AI Agents, apply prompting techniques, and implement architectures like RAG.
- You will collaborate closely with product and engineering teams to embed AI into daily workflows.
- Translate product and engineering challenges into AI solutions.
- Build and deploy AI Agents with reasoning and memory integration.
- Apply prompt engineering and RAG to real-world use cases.
- Collaborate with teams to embed AI into requirements, coding, testing, and operations.
- Prototype and test AI solutions, balancing experimentation with production readiness.
- Support demonstrations of AI use cases for clients and internal stakeholders.
- Stay current with advances in Generative AI and bring them into practice.
- Communicate findings and trade-offs clearly in English to both technical and business audiences.
Requirements
What you’ll need- Bachelor's Degree in Computer Science, Engineering, Applied Math, or related fields (or equivalent experience)
- Strong programming background in Python (or similar) with experience in Generative AI frameworks and APIs
- Daily use of Generative AI IDEs or environments
- Proven experience in Prompt Engineering
- Solid understanding of RAG, MCP (Model Context Protocol), A2A (Agent to Agent) and ACP (Agent Coordination Protocol)
- Exposure to deploying AI-powered solutions across stages of the product lifecycle
- Strong technical communication skills in English
- Exposure to cloud native environments
- Ability to work independently and collaboratively in fast-paced environments
- Knowledge of how to integrate short and long-term memory in agents (desired qualification)
- Exposure to Agentic AI frameworks, autonomous agents, or multi-agent orchestration (desired qualification)
- Knowledge of Knowledge Graphs approaches (desired qualification)
- Awareness of monitoring AI systems for evals validation, performance, accuracy, and cost monitoring (desired qualification)
Benefits
Comp & perks- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
- Profit Sharing and Results Participation (PLR);
- Life insurance
- Continuous learning platform (CI&T University);
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
- And many more!
