Job
Description
About The Role Senior AI Engineer
At Codvo, software and people transformations go hand-in-handWe are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNAOur core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we doWe continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking
About the Role:
We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applicationsIn this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutionsResponsibilities:
Generative AI Pipeline Development:Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloadsOrchestrate 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
Data and Document Ingestion:
Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applicationsImplement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines
Ensure data quality, consistency, and security throughout the ingestion process
AI Service Integration:
Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applicationsDevelop 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
Retrieval Augmented Generation (RAG) Pipelines:
Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sourcesDevelop 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
Large Language Model (LLM) Integration:
Develop and manage interactions with LLMs through APIs and SDKs within Generative AI pipelinesImplement 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
Backend Services Ownership:
Design, develop, and maintain backend services that support Generative AI applicationsEnsure 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
Required Skills and Qualifications:
EducationBachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related fieldExperience:
5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systemsProven 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
Technical
Skills:
Expertise in Python and relevant AI/ML librariesStrong 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
Generative AI Specific
Skills:
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
Soft
Skills:
Strong problem-solving and analytical skillsExcellent communication and collaboration skills
Ability to work in a fast-paced environment
Preferred Qualifications:
Experience with OCR and document processing technologiesExperience with MLOps practices for Generative AI
Contributions to open-source AI projects
Strong experience with vector databases and their optimization for Generative AI applications
Experience 5+ years
Shift Time 2:30PM to 11:30PMShow more Show less
