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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 production-ready applications using Large Language Models and AWS Bedrock, with a strong focus on prompt engineering, AI pipeline optimization, and backend service development in Python. Proven ability to collaborate with cross-functional teams to translate requirements into effective technical solutions.
Highest-signal resume keywords
Large Language Models (LLMs)AWS BedrockPrompt EngineeringPython DevelopmentAgentic Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringFull-Stack DevelopmentAI Pipeline DesignBackend Services DevelopmentContainerization StrategiesModel Fine-TuningData Consumption TechniquesCI/CD PipelinesEmbedding ModelsMonitoring Solutions
Soft Skills
CollaborationKnowledge SharingTechnical Documentation
Tools & Technologies
LangChainLlamaIndexCrewAIAutoGenPineconeWeaviateOpenSearch
Industry Keywords
Generative AIAI SystemsRAG ArchitecturesMulti-Agent SystemsEnterprise Systems
Tech Stack
Tools & technologiesAWSPython
About the role
Key responsibilities & impact- Design, develop, and deploy production-ready applications using Large Language Models, including GPT, Gemini, Claude, and other foundation models through AWS Bedrock
- Build and optimize RAG architectures for processing and retrieving information from large-scale document repositories
- Implement and orchestrate multi-agent AI systems using AWS Bedrock Agents and AgentCore frameworks
- Design scalable AI pipelines integrating with enterprise systems and maintaining production-scale performance
- Develop backend services and APIs for AI applications using Python and modern frameworks
- Implement containerization and deployment strategies for AI applications
- Build monitoring and observability solutions tracking AI system performance, quality, and costs
- Design and optimize prompts and templates guiding LLM behavior and responses
- Implement advanced prompt engineering techniques
- Evaluate and fine-tune models for specific use cases
- Experiment with model configurations, hyperparameters, and architectures
- Partner with vertical areas and stakeholders to translate requirements into technical solutions
- Stay current with generative AI research and evaluate emerging foundation models
- Contribute to technical documentation, best practices, and knowledge sharing
- Participate in sales initiatives related to Generative AI
- Collaborate with product managers, data scientists, solution architects, and other engineers to deliver production-ready AI systems
Requirements
What you’ll need- Strong years of professional software engineering experience
- Full-stack development experience
- Hands-on experience with Large Language Models (LLMs) and foundation model APIs
- Experience with agentic architecture and implementation, such as LangChain, LlamaIndex, CrewAI, and AutoGen
- Prompt engineering and optimization techniques
- Data consumption for agentic systems with vector databases, such as Pinecone, Weaviate, and OpenSearch
- Experience with embedding models or Knowledge Graphs
- Knowledge of DevOps practices and CI/CD pipelines for AI applications
- Knowledge of Python with experience in modern frameworks and libraries
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
- Health and well-being team, inclusion specialists, and affinity groups
- Support and accommodations for people with disabilities during the selection process