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
7 years of experience in software development and at least 3 years of experience in leadership roles.
AI Tools experience: LangChain, LangGraph, RAG, vector databases, NLP, and deep learning.
Strong years of experience in 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.

AI Architect, AWS

Key skills