Uvik Software

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

Requirements: 

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

We offer:

— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
— Smart environment
— Flexible work schedule
— Competitive salary according to the qualifications

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

Requirements: 

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

We offer:

— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
— Smart environment
— Flexible work schedule
— Competitive salary according to the qualifications

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.
 

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

— Collaborate with solution architects, engineers, product stakeholders, and delivery teams to translate business problems into technical solutions.

— Participate in architecture discussions, code reviews, design reviews, and technical decision-making.

— Troubleshoot production issues, system bottlenecks, and AI performance problems.

— Document system designs, development processes, technical decisions, and best practices.

— Mentor other engineers and help improve engineering quality across the team.

— Stay up to date with the fast-moving AI, LLM, and agentic AI landscape.

Requirements

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong software engineering fundamentals and ability to write clean, maintainable, production-ready code.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Experience with production testing, observability, monitoring, performance optimization, and cost optimization.

— Solid understanding of algorithms, data structures, machine learning concepts, and data engineering fundamentals.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

— Strong problem-solving, analytical, collaboration, and communication skills.

We offer:
— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro)
— Smart environment
— Interesting projects from renowned clients
— Competitive salary according to the qualifications
 

🚀We’re looking for a Technical Support Engineer to join our remote team and ensure smooth operation of our applications during weekday or weekend.

Schedule: Monday–Friday OR Saturday- Sunday: 

23:00–07:00 (GMT+3) 

7.00-15.00 

15.00-23.00

Location: Remote

🎯What you’ll do

• Provide prompt, professional support via chat, email, and ticketing tools
• Monitor infrastructure & app health to ensure uptime and performance
• Troubleshoot bugs; escalate critical issues to the engineering team when needed
• Run routine checks on cloud services and resolve infra-level problems
• Log incidents, track resolutions, and evolve our internal knowledge base
• Partner with Engineering & QA for smooth handovers and clear communication

🧩What we’re looking for: 

• Сonversational English level: at least Upper-Intermediate, and if it's higher, that's even better.
• 6+ months experience with Python & Django OR no commercial experience but:
  • Completed relevant courses/bootcamps (e.g., Python, Django, Databases, AWS)
  • Strong technical fundamentals (data types, HTTP, REST, git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, or internships) — GitHub links welcome
• Good knowledge of PostgreSQL (or another relational DB)
• Familiarity with AWS (EC2, S3) — basics are fine
• Solid analytical & debugging skills
• Basic understanding of REST APIs and front-end (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and as part of a team

Nice to have

• Experience with Docker/Kubernetes and CI/CD pipelines
• Knowledge of web app security principles

• Background in Agile/Scrum environments

   

If you like staying ahead of problems and owning the night shift, we’d love to hear from you.

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast during weekend shifts. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed.

Shift on Monday to Friday:

• 16:00-00:00 (GMT+3)
   

What you’ll do

• Maintain and troubleshoot Python/Django web applications
• Debug and optimize database performance (PostgreSQL)
• Operate core AWS services (EC2, S3)
• Diagnose issues with cross-functional teams and implement quick fixes
• Keep code changes clean, documented, and secure
• Handle end-user requests and provide technical assistance

What we’re looking for:

• English: Upper-Intermediate or higher
• Experience: 6+ months with Python & Django OR no commercial experience but:
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment
   

We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

.  What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

.  What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.

• English: Upper-intermediate or higher.

   

  What We Offer:

✔️ 18 vacation days + 12 sick leaves annually.
✔️ A high-tech workplace (MacBook Pro + Dell monitor).
✔️ Exciting projects with cutting-edge technologies.
✔️ Flexible work hours and competitive salary.
 

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast during weekend shifts. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed.

Shift on Weekend  13:00-19:00 (GMT +3)
 

What you’ll do

• Maintain and troubleshoot Python/Django web applications
• Debug and optimize database performance (PostgreSQL)
• Operate core AWS services (EC2, S3)
• Diagnose issues with cross-functional teams and implement quick fixes
• Keep code changes clean, documented, and secure
• Handle end-user requests and provide technical assistance

What we’re looking for:

• English: Upper-Intermediate or higher
• Experience: 6+ months with Python & Django OR no commercial experience but:
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment
   

What we offer

• Paid part-time weekend shifts
• Flexible choice of shift blocks
• Supportive team and transparent processes
• Fast track to real production experience

About the Role

We are looking for a Data Engineer to design and implement scalable data pipelines that support Generative AI applications. You will work with large-scale datasets, optimize performance, and ensure seamless data integration across AI workflows.

Responsibilities:

• Design and develop scalable data pipelines to support AI/ML models.
• Work with structured and unstructured data for training and inference.
• Optimize ETL workflows for real-time and batch processing.
• Ensure data quality, governance, and security in cloud environments.
• Collaborate with AI/ML engineers to streamline data workflows.

• Deploy and manage data infrastructure on AWS, GCP, or Azure.

   

Requirements:

• 4+ years of experience in Data Engineering and Big Data technologies.
• Expertise in ETL pipelines, data warehousing, and distributed computing.
• Strong knowledge of SQL, NoSQL, and data lakes.
• Experience with cloud-based data services (AWS Glue, BigQuery, Azure Data Factory).
• Proficiency in Python, Spark, Kafka, Airflow.
• Experience with CI/CD, DevOps, and Agile methodologies.

What You’ll Get at Uvik:

• Generous paid time off: 18 vacation days + 12 sick leaves annually.
• Flexibility: manage your schedule, work fully remote, and keep a healthy work-life balance.
• Challenging projects: work with global clients and the latest technologies.
• Growth opportunities: we invest in your development and support career advancement.
• Competitive salary in a fast-growing international company.

About the Role 

We are looking for a strong technical leader to take ownership of production support for a B2B e-commerce platform. 

This role is focused on system stability, incident management, and technical coordination. New feature development is not part of the scope. 

Responsibility, leadership, and communication are top priorities. 

Requirements 

• Strong Python 3.x knowledge 
• Production experience with Django 
• Solid understanding of Django ORM and DRF Strong SQL skills and query optimization 
• Experience with PostgreSQL / MySQL / MS SQL Server 
• Solid understanding of OOP and SOLID principles 

• English level B2+ and higher 

   

Responsibilities 

• Ensure stability and reliability of the production system 
• Investigate and resolve incidents (root cause analysis) 
• Review and validate support-related code changes 
• Optimize backend performance and database queries 
• Coordinate the support team 
• Communicate with stakeholders regarding incidents and system status 
• Make technical decisions within the existing architecture 

Nice to have: 

• Celery / Redis Async programming 
• Experience with e-commerce or B2B platforms 

Important 

• English level B2+ and higher 
• High level of ownership and accountability 
• Ability to handle critical production incidents 
• Strong communication skills 
• Stress resilience

B2B E-commerce | Production Support

About the Role: 
 

We are looking for a strong technical leader to take ownership of production support for a B2B e-commerce platform. This role is focused on system stability, incident management, and technical coordination. New feature development is not part of the scope.

Responsibility, leadership, and communication are top priorities.

Requirements: 

-Strong Python 3.x knowledge

-Production experience with Django

-Solid understanding of Django ORM and DRF

-Strong SQL skills and query optimization

-Experience with PostgreSQL / MySQL / MS SQL Server

-Solid understanding of OOP and SOLID principles

-English level B2+ and higher

Responsibilities:

-60% hands-on support / 40% coordination support team

-Ensure stability and reliability of the production system

-Investigate and resolve incidents (root cause analysis)

-Review and validate support-related code changes

-Optimize backend performance and database queries

-Communicate with stakeholders regarding incidents and system status

-Make technical decisions within the existing architecture

Nice to have:

-Celery / Redis 

-Async programming

-Experience with e-commerce or B2B platforms

Important:

-High level of ownership and accountability

-Ability to handle critical production incidents

-Strong communication skills

-Stress resilience

About the role:

We’re looking for a hands-on Python Engineer to take ownership of production support for a B2B e-commerce platform.

This is not a feature development role - the focus is on support, troubleshooting, and system stability.

The role combines:

• ~60% hands-on ticket resolution
• ~40% coordination and client communication

You’ll be working closely with a distributed team and directly with the client.

What you’ll do:

• Resolve support tickets and production issues
• Investigate incidents and perform root cause analysis
• Make small fixes in the existing Django codebase
• Ensure system stability and reliability
• Help distribute and prioritize tickets within the team
• Support teammates when they are blocked
• Communicate with the client regarding issues and progress

 What we expect:

• 2+ years of experience with Python (Django)
• Understanding of Django ORM / APIs
• Working knowledge of SQL
• Experience with production support / troubleshooting
• English B2+ (you’ll communicate with the client)
• Strong communication skills and ownership

Important:

• English level B2+ and higher
• High level of ownership and accountability
• Ability to handle critical production incidents
• Stress resilience

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast during weekend shifts. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed.

Shift on Weekend  13:00-19:00 (GMT +3)
 

What you’ll do

• Maintain and troubleshoot Python/Django web applications
• Debug and optimize database performance (PostgreSQL)
• Operate core AWS services (EC2, S3)
• Diagnose issues with cross-functional teams and implement quick fixes
• Keep code changes clean, documented, and secure
• Handle end-user requests and provide technical assistance

What we’re looking for:

• English: Upper-Intermediate or higher
• Experience: 6+ months with Python & Django OR no commercial experience but:
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment
   

What we offer

• Paid part-time weekend shifts
• Flexible choice of shift blocks
• Supportive team and transparent processes
• Fast track to real production experience

We are looking for an experienced Data Scientist for a full-time job to join our team.


Requirements:
2+ years of experience as a data scientist
BSc in Mathematics, Statistics, Computer Science, Economics, or another related field.
Experience in using Python & SQL
Experience with Airflow and GCP
Experience with Git & CI/CD
Upper Intermediate English — written and spoken
Ability to design creative solutions for complex requirements
Ability to learn and lead projects independently, and to work with minimal supervision with customers (tech & business)

Responsibilities:
Conduct independent research, including defining research problems, creating research plans, designing experiments, developing algorithms, implementing code, and performing comprehensive comparisons against existing benchmarks;
Clearly communicate your research findings to both technical and non-technical audiences
Work on various data sources and apply sophisticated feature engineering capabilities
Bring and use business knowledge
Build and manage technical relationships with customers and partners.

We offer:
12 sick leaves and 18 paid vacation business days per year
Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
Smart environment
Interesting projects from renowned clients
Flexible work schedule
Competitive salary according to the qualifications
Guaranteed full workload during the term of the contract
Corporate leisure activities
Game, lounge, sport zones.