Develop and implement AI solutions using frameworks such as LangChain, LangGraph, and multi-agent systems.
Utilize prompt engineering and retrieval-augmented generation (RAG) to enhance AI capabilities.
Work with vector databases (ChromaDB, Pinecone) and implement context optimization and model routing.
Ensure LLM observability and adherence to AI governance standards.
Lead Agile teams through project lifecycles from conception to deployment, ensuring best practices in software development and architecture.
Manage CI/CD processes, including logging, tracing, and monitoring for infrastructure observability.
Conduct code reviews and enforce design patterns to maintain high-quality code standards.
Collaborate effectively with stakeholders to align on project goals and deliverables.

Advanced English skills
Several years of experience in software development and in leadership roles
Extensive experience with AWS (Bedrock, Lambda, S3, EC2)
Experience with Python, Java, or C#
Frameworks: Flask or Spring Boot for backend services
Tools: Jira for project management, Git for version control
Proven track record of delivering AI-driven products in production environments
Strong understanding of software development and architecture best practices, including design patterns and code reviews
Familiarity with DevOps practices and CI/CD pipelines
Excellent communication and interpersonal skills for effective collaboration with stakeholders

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Partnerships with gyms and wellness professionals via Wellhub (Gympass) and TotalPass
Profit sharing and results participation (PLR)
Life insurance
Continuous learning platform (CI&T University)
Employee 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!

Senior AI Engineer – AWS

Key skills