OWORT – Optimized Workforce, Outsourced Reliable Talent

Our Services

LLM Integration

Seamlessly integrate large language models into your business workflows, enabling intelligent automation, content generation, and data analysis capabilities.

RAG Development

Custom Retrieval-Augmented Generation systems that enhance AI capabilities with domain-specific knowledge, improving response accuracy and contextual relevance.

App Development

Full-stack application development services delivering intuitive, scalable software solutions that drive business growth and enhance user experiences.

API Development

Robust API architecture and development that connects systems, applications, and data sources, creating seamless digital ecosystems for your business.

Cloud Optimization

Strategic cloud resource management and cost optimization services that reduce expenses while maintaining performance, scalability, and reliability.

LLM Ops Infrastructure

End-to-end LLM operations infrastructure that ensures reliable deployment, monitoring, and maintenance of AI models in production environments.

About Us

OWORT – Optimized Workforce, Outsourced Reliable Talent is a specialized AI consultancy dedicated to empowering small businesses and government organizations with cutting-edge artificial intelligence solutions. Our mission is to democratize AI technology by making it accessible, practical, and cost-effective for organizations of all sizes.

We understand that small businesses and government agencies face unique challenges: limited budgets, resource constraints, and the need for solutions that deliver immediate, measurable impact. Our team of experienced AI engineers, data scientists, and cloud specialists work exclusively with these sectors, developing tailored AI implementations that drive efficiency, reduce costs, and enhance service delivery.

Our comprehensive approach includes strategic AI consultation, custom LLM integration, process automation, and ongoing support. We specialize in transforming manual workflows into intelligent, automated systems that allow your team to focus on high-value activities while AI handles routine tasks.

From automating customer service with intelligent chatbots to implementing predictive analytics for better decision-making, we help small businesses and government organizations leverage AI technology to compete effectively in today's digital landscape while maintaining operational excellence and regulatory compliance.

OWORT – Optimized Workforce, Outsourced Reliable Talent team working on technology solutions

Client Testimonials

"OWORT's LLM integration transformed our customer service operations. Their team developed a sophisticated AI solution that automates responses while maintaining our brand voice. The implementation was smooth, and their ongoing support has been exceptional."

Oleksandr Kovalenko

VP of Technology, FinTech Inc.

LLM Integration for Customer Service

"After struggling with escalating cloud costs, we engaged OWORT to optimize our infrastructure. Their comprehensive analysis and strategic recommendations led to a 40% reduction in our monthly cloud expenses without compromising performance."

Michael Rodriguez

CTO, E-commerce Platform

Cloud Cost Optimization

"The custom RAG system developed by OWORT has significantly improved our research capabilities. Their solution intelligently retrieves and synthesizes information from our extensive document library, enabling faster, more informed decisions."

Anastasia Petrenko

Research Director, BioPharma Co.

RAG System Implementation

"OWORT developed a complex API ecosystem for our SaaS platform that seamlessly connects our services with multiple third-party applications. Their technical expertise resulted in a robust solution that has become a key selling point for our platform."

David Wilson

Product Manager, SaaS Solutions

API Development & Integration

"The LLM Ops infrastructure implemented by OWORT has transformed how we deploy and manage our AI models. Their solution provides robust monitoring, version control, and scaling capabilities that have significantly improved our model performance."

Viktor Shevchenko

AI Engineering Lead, Enterprise Software

LLM Ops Infrastructure

Join Our Team

We're looking for talented individuals to join our growing team of AI specialists, developers, and engineers. If you're passionate about cutting-edge technology and want to work on transformative AI solutions, we'd love to hear from you.

Manual QA Trainee

Entry Level • Remote/Hybrid

Join our quality assurance team to learn manual testing methodologies for AI applications and web platforms. Perfect for those starting their career in software testing.

Requirements:

Strong attention to detail
Basic understanding of web technologies
Willingness to learn testing methodologies
Good communication skills

Front-End Developer

Mid-Senior Level • Remote/Hybrid

Build intuitive user interfaces for AI-powered applications with experience in LLM agent development and integration. Work on cutting-edge AI projects.

Requirements:

3+ years React/Vue.js/Angular experience
Experience with LLM agent frameworks
Knowledge of AI/ML integration patterns
TypeScript proficiency
Understanding of conversational AI interfaces

LLM Ops Engineer

Senior Level • Remote/Hybrid

Lead the deployment, monitoring, and optimization of large language models in production environments. Design and implement MLOps pipelines for scalable AI infrastructure.

Requirements:

5+ years DevOps/MLOps experience
Experience with LLM deployment and scaling
Kubernetes and containerization expertise
Cloud platforms (AWS/GCP/Azure)
Model monitoring and optimization
CI/CD for ML workflows

Interested in joining our team? Send your resume and a cover letter explaining why you're passionate about AI technology.

Apply Now

Contact Us

Call Us

+38 063 5250505

Email Us

help@owort.com

Headquarters

Sportyvna Square, 1A, Kyiv, Ukraine

Business Hours

Monday-Friday: 9am-6pm
Saturday: By appointment

Service Areas

Remote services available worldwide

Manual QA Trainee

Entry Level • Remote/Hybrid

About the Role

Join our quality assurance team as a Manual QA Trainee and start your career in software testing within the exciting field of AI applications. You'll work alongside experienced QA engineers to learn industry best practices while testing cutting-edge AI-powered platforms, web applications, and API integrations.

What You'll Do

Learn and execute manual testing procedures for web applications and AI systems
Document and report bugs and issues using industry-standard tools
Participate in test planning and test case development
Collaborate with development teams to understand feature requirements
Assist in user acceptance testing and regression testing
Learn automation testing fundamentals with guidance from senior team members

Requirements

Strong attention to detail and analytical thinking
Basic understanding of web technologies (HTML, CSS, JavaScript)
Willingness to learn testing methodologies and tools
Good written and verbal communication skills
Problem-solving mindset and curiosity about how software works
Bachelor's degree in Computer Science, Engineering, or related field preferred

What We Offer

Comprehensive training program with mentorship
Exposure to cutting-edge AI and ML technologies
Career growth opportunities within our QA and engineering teams
Flexible remote/hybrid work arrangements
Competitive salary and benefits package
Learning and development budget for certifications and courses

Ready to Apply?

Send your resume and a cover letter to our HR team explaining why you're interested in starting your QA career with us.

Apply Now

Front-End Developer with LLM Agent Experience

Mid-Senior Level • Remote/Hybrid

About the Role

We're seeking a talented Front-End Developer with experience in LLM agent development to join our team. You'll be responsible for creating intuitive, responsive user interfaces for AI-powered applications while integrating complex LLM functionalities into seamless user experiences.

What You'll Do

Develop responsive web applications using modern JavaScript frameworks
Integrate LLM agents and conversational AI interfaces into web applications
Collaborate with AI engineers to implement complex LLM workflows
Build reusable UI components and design systems
Optimize applications for performance and scalability
Work with APIs and real-time data streaming for AI applications
Participate in code reviews and maintain high code quality standards

Requirements

3+ years of experience with React, Vue.js, or Angular
Experience with LLM agent frameworks (LangChain, AutoGPT, or similar)
Knowledge of AI/ML integration patterns and APIs
Proficiency in TypeScript and modern JavaScript (ES6+)
Understanding of conversational AI interfaces and chat applications
Experience with state management (Redux, Vuex, or similar)
Familiarity with WebSocket connections and real-time applications
Knowledge of responsive design and CSS preprocessors

Preferred Qualifications

Experience with vector databases and RAG implementations
Knowledge of Python and AI/ML libraries
Familiarity with cloud platforms (AWS, GCP, Azure)
Experience with testing frameworks (Jest, Cypress, etc.)
Understanding of prompt engineering and LLM optimization

What We Offer

Opportunity to work on cutting-edge AI applications
Collaborative environment with AI researchers and engineers
Flexible remote/hybrid work arrangements
Competitive salary and equity package
Professional development opportunities and conference attendance
Latest development tools and hardware

Ready to Apply?

Send your resume, portfolio, and a cover letter showcasing your LLM integration experience to our HR team.

Apply Now

LLM Ops Engineer

Senior Level • Remote/Hybrid

About the Role

Join our team as a Senior LLM Ops Engineer to lead the deployment, monitoring, and optimization of large language models in production environments. You'll be responsible for building and maintaining robust MLOps infrastructure that ensures our AI systems operate reliably at scale.

What You'll Do

Design and implement MLOps pipelines for LLM deployment and management
Build automated model training, validation, and deployment workflows
Monitor model performance, latency, and resource utilization
Implement A/B testing frameworks for model iterations
Optimize model serving infrastructure for cost and performance
Ensure security, compliance, and data privacy in AI systems
Collaborate with data scientists and AI engineers on model lifecycle management
Troubleshoot and resolve production issues with AI systems

Requirements

5+ years of experience in DevOps/MLOps or infrastructure engineering
Hands-on experience with LLM deployment and scaling
Expertise in Kubernetes and containerization technologies (Docker)
Proficiency with major cloud platforms (AWS, GCP, Azure)
Experience with model monitoring and observability tools
Strong knowledge of CI/CD pipelines for ML workflows
Proficiency in Python and infrastructure as code (Terraform, Ansible)
Experience with vector databases and embedding systems

Preferred Qualifications

Experience with LLM serving frameworks (vLLM, TensorRT-LLM, etc.)
Knowledge of distributed computing and GPU optimization
Familiarity with model quantization and optimization techniques
Experience with streaming data processing (Kafka, Kinesis)
Understanding of model security and red teaming practices
Certifications in cloud platforms or Kubernetes

What We Offer

Opportunity to work with state-of-the-art LLM infrastructure
Lead technical decisions and architecture choices
Flexible remote/hybrid work arrangements
Competitive salary and comprehensive benefits
Stock options and performance bonuses
Conference attendance and continuous learning budget
Cutting-edge hardware and development tools

Ready to Apply?

Send your resume and a detailed cover letter highlighting your MLOps and LLM experience to our HR team.

Apply Now