Note: The job is a remote job and is open to candidates in USA. Codvo.ai is a global empathy-led technology services company specializing in software and people transformations. They are seeking a highly skilled Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for their Generative AI applications.
Responsibilities
- Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads
- Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context
- Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines
- Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications
- Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines
- Ensure data quality, consistency, and security throughout the ingestion process
- Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications
- Develop and maintain APIs for seamless communication between AI services and backend systems
- Monitor and optimize the performance of integrated AI services within the Generative AI pipeline
- Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources
- Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI
- Evaluate and improve the accuracy and relevance of RAG-generated responses in the context of Generative AI applications
- Develop and manage interactions with LLMs through APIs and SDKs within Generative AI pipelines
- Implement prompt engineering strategies to optimize LLM performance for specific Generative AI tasks
- Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications
- Design, develop, and maintain backend services that support Generative AI applications
- Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads
- Implement monitoring and logging systems for backend services and pipelines supporting Generative AI
- Troubleshoot and resolve backend-related issues impacting Generative AI applications
Skills
- 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
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