Work With High Performing RAG Systems Engineers
Hire Digital matches you to the best RAG systems engineers on demand. Our talent has to pass a rigorous screening process at Hire Digital, to work on your most important projects.
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Patrick Casey is a technical leader and full-stack engineer with 9 years of hands-on experience creating microservices, APIs and web applications. He possesses a broad knowledge of web and Microsoft technology stack, including PHP, JS frameworks, .NET. While he is working in several companies as a core engineer, he has learned how to deliver critical and highly available software systems, and secure, and lead technical teams, by creating an easy development environment, fixing technical debts, providing the best codes and mentoring dev. Patrick was also a senior software developer at Shopify, where he developed a Django app integrated with the Jira platform and a slack bot for knowledge discovery.
Nicholas Lu
RAG Systems Engineer
Nicholas Lu is a goal-oriented engineer focused on ML systems and distributed architecture. He works across the MLOps lifecycle, building and maintaining data and model pipelines using Airflow, Spark, Kafka, and Kubernetes. His experience includes deploying containerised workloads with Docker, managing infrastructure via Terraform, and implementing CI/CD with Jenkins, GitLab, and Bitbucket Pipelines. He supports site reliability through monitoring, automation, and incident response in cloud environments (AWS, GCP, Azure, Alibaba Cloud). He codes in Python, Java, SQL, and Bash, and works extensively with Linux and open-source tools.
Anni Huang
RAG Systems Engineer
Anni Huang specialises in artificial intelligence with a strong focus on algorithms, machine learning, and deep learning applied to real-world industrial challenges. Her work spans end-to-end data science pipelines, model development, and deployment, with particular emphasis on MLOps practices. She builds scalable workflows on Google Cloud Platform and is advancing her MLOps capabilities on AWS, covering model versioning, CI/CD, monitoring, and reproducibility. She is proficient in software development, data visualisation using R and Tableau, and translating complex models into production-ready solutions.
Sebastian is a Senior Data Science consultant with a background in industrial engineering, data science, and business administration, and more than 5 years of consultancy experience at top-tier consultancy firms (e.g. Deloitte) working for numerous Fortune-500 companies in various Data Science subjects such as Machine learning, MLOps, Natural language processing, finance analytics, M&A analytics, and satellite analytics. He is proficient in using different programming languages (e.g. Python, R, Java), and cloud environments (e.g. Azure, AWS, GCP). Lastly, he is also experienced in business skills such as coaching, project management, and stakeholder management.
Laura Halacheva is a data scientist with experience in data modeling, statistics, and machine learning, both theoretical and applied. She has wide experience with applications in various domains, including medical data analysis, natural language processing, conversational models, and e-commerce. At Ontotext, she led the data science of the R&D department. Her clients include MobiBiz, Canadian Heritage Information Network (CHIN), and more.
Patrick O’Dowd is an RPA developer with extensive hands-on experience with Kong API Gateway, API Management, RPA Automation Anywhere v11 + A360, Azure Cloud, Terraform, Ansible, IBM MQ, Kafka, Istio, IBM App Connect (Integration Bus), SAP Process Orchestration, Java, C, Jenkins, Kubernetes, and Docker. He works as enterprise integration, API, and RPA architect at GSK, responsible for enterprise-scale solutions for internal and external applications and process integration, including APIs and RPA.
Heli Shah is a solutions-driven data analyst with over four years of experience in leading cross-functional data in development, documentation, and delivery of process innovations driving the attainment of business goals. Her areas of expertise include statistical analysis, machine learning, data analytics, data visualization, data science research, data reporting, data mining and cleaning, and preparation. At The Madison Square Garden Company, she was responsible for the development and delivery of ad-hoc and scheduled reports and data sourced from the Oracle Fusion Human Capital Management system. Heli also worked as a data analyst at The New School in New York, where she created highly segmented reports and data extracts for development, alumni relations, and other departments throughout the university.
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Digital helped Singtel propel growth into new digital businesses by building on-demand teams with top talent specialized in our domain and channels.
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Digital has been a great help. We were able to work with capable talent who saved us a lot of time. The Digital team ensures that we find good talent matches and they’ve been very responsive.
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Frequently asked questions
Most teams see matched candidates within 48 hours. Our pre-vetted network means we are not starting from scratch when you reach out. If we do not have the right person available, we will tell you upfront rather than scramble.
Practitioners vet practitioners. Your growth marketer candidate gets interviewed by someone who has run growth at similar companies, not a recruiter checking keywords. We combine technical assessments, portfolio reviews, and cultural fit screening before anyone reaches your inbox.
Contract talent works on defined projects with clear deliverables. Embedded talent integrates into your team for ongoing work, attending standups and using your tools. Both can transition to full-time if the fit is right. We help you choose based on scope, timeline, and budget.
If it is not working in the first few weeks, we will find you a replacement at no additional cost. We are not in the business of defending bad matches. Most clients never need this because we invest heavily in fit upfront.
We offer flexible engagement models: hourly for short-term projects, monthly retainers for ongoing work, or placement fees for full-time hires. No hidden fees, no long-term contracts unless you want them. Your account manager will walk through options on your discovery call.
Yes. Someone who thrived at Google with dedicated QA, DevOps, and product managers may flounder when they have to wear all three hats. We look for people who have operated at your stage, pace, and level of ambiguity.
Yes, and not just the flashy demo-building part. Our Agent Operations practice includes people who have run AI agents in production and dealt with the messy reality of keeping them reliable, cost-effective, and safe.
Most marketplaces optimize for volume. They send you 10 candidates hoping one sticks. We optimize for fit. We would rather say “we do not have the right person” than waste your time. Our 95% satisfaction rate comes from being selective, not fast.
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