Senior Generative AI Engineer

About the job

BASIC QUALIFICATIONS • 6+ years of overall professional experience in software or machine learning engineering. • Bachelor's degree in Computer Science, Machine Learning, or a related technical field. • 2+ years of relevant, hands-on experience with Generative AI, including: • Building, optimizing, and deploying RAG (Retrieval-Augmented Generation) pipelines. • In-depth experience with agentic frameworks (e.g., LangChain, LlamaIndex). • Experience with vector databases (e.g., Pinecone, Qdrant, pgvector). • Expert-level proficiency in Python and object-oriented design. • Demonstrated experience with core AWS services for compute and deployment (e.g., EKS, ECS, Lambda, API Gateway). • Strong understanding of API development (REST) and building microservices. PREFERRED QUALIFICATIONS • Deep, hands-on experience with the AWS AI/ML stack: Amazon Bedrock, Amazon Kendra, and Amazon Textract. • Proven track record of building and deploying complex, multi-step AI orchestrations (agentic planners) that call multiple tools and external APIs. • Experience in building custom AI/ML "skills" or models to handle domain-specific data analysis. • Hands-on experience with MLOps and cloud infrastructure: Docker, Kubernetes, CI/CD, AWS Secrets Manager, and Amazon CloudWatch. • Familiarity with integrating AI systems with enterprise platforms (e.g., NetSuite, or similar). • Experience working in an agile environment to deliver high-quality code and rapidly iterate on new, high-impact products.

Qualifications

• 6+ years of overall professional experience in software or machine learning engineering.
• Bachelor's degree in Computer Science, Machine Learning, or a related technical field.
• 2+ years of relevant, hands-on experience with Generative AI, including: Building, optimizing, and deploying RAG (Retrieval-Augmented Generation) pipelines.
• In-depth experience with agentic frameworks (e.g., LangChain, LlamaIndex).
• Experience with vector databases (e.g., Pinecone, Qdrant, pgvector).
• Expert-level proficiency in Python and object-oriented design.
• Demonstrated experience with core AWS services for compute and deployment (e.g., EKS, ECS, Lambda, API Gateway).
• Strong understanding of API development (REST) and building microservices.

About the company

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.