Remote Senior field applications engineer Jobs – 116 Open Jobs Today

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Senior AI Engineer

Codvo.ai
Remote

Apply Now

Job details

Qualifications

CI/CD
Azure
Law
Computer Science
Software troubleshooting
Kubernetes
Software deployment
Git
Master's degree
Databases
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Continuous integration
SDKs
REST
Software development
APIs
AI
Communication skills
Python

Full job description

Job Description: Senior AI Engineer

Company Overview:

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We 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 applications. In 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 solutions.

Responsibilities:

Generative AI Pipeline Development:
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.
Data and Document Ingestion:
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.
AI Service Integration:
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.
Retrieval Augmented Generation (RAG) Pipelines:
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.
Large Language Model (LLM) Integration:
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.
Backend Services Ownership:
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.

Required Skills and Qualifications:

Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Experience:
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.
Technical Skills:
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.
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 skills.
Excellent communication and collaboration skills.
Ability to work in a fast-paced environment.

Preferred Qualifications:

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.

Experience - 5+ years

Shift Time - 2:30PM to 11:30PM

Apply Now

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senior field applications engineer jobs in remote

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