Senior AI Engineer

March 10

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Codvo.ai

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Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

Artificial Intelligence • Mobile Development • Product and Design • Web Development • Remote Support

51 - 200 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

📋 Description

• Lead the design, development, and implementation of robust and scalable pipelines and backend systems for Generative AI applications. • Orchestrate the flow of data, integrating AI services, developing RAG pipelines, and ensuring smooth operation of backend infrastructure. • Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation tailored for Generative AI workloads. • Develop and manage systems for ingesting diverse data sources used in Generative AI applications. • Integrate and manage external AI services into our Generative AI applications. • Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources. • Develop and manage interactions with LLMs within Generative AI pipelines. • Design, develop, and maintain backend services that support Generative AI applications and ensure their scalability, reliability, and security.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems. • Proven experience in designing and implementing data ingestion and processing pipelines. • Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. • Expertise in Python and relevant AI/ML libraries. • Strong understanding of AI infrastructure and deployment strategies. • Experience with data engineering and data processing techniques. • Proficiency in software development principles and best practices. • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). • Experience with version control (Git). • Experience with RESTful APIs and API development. • Experience with vector databases and their application in AI/ML, particularly for similarity search and retrieval. • Familiarity with Generative AI concepts and techniques (e.g., GANs, Diffusion Models, VAEs, LLMs). • Experience with integrating and managing Generative AI services. • Understanding of RAG pipelines and their application in Generative AI. • Experience with prompt engineering for LLMs in Generative AI contexts. • Strong problem-solving and analytical skills. • Excellent communication and collaboration skills. • Ability to work in a fast-paced environment. • Experience with OCR and document processing technologies. • Experience with MLOps practices for Generative AI. • Contributions to open-source AI projects. • Strong experience with vector databases and their optimization for Generative AI applications.