Snotor

Right now Snotor is looking for a QA engineer (Manual Testing ). We offer IT-outsourcing services all over the world and give you an opportunity to work on interesting and powerful projects.

First of all, we need good, independent specialists

Requirements:

- Hard skills:

• Analyze, validate and review requirements;

• Experience with bug tracking system

• Knowledge of software development process, testing life cycle understanding;

• Experience in creating and supporting testing documentation (test case, bug report, test plan);

• Strong knowledge of software testing theory;

• Good knowledge of browser Dev Tools;

• Extremely detail-oriented, investigator and troubleshooter;

• Good communication skills, team working;

• Knowledge of desktop and web testing;

• Basic knowledge with REST API testing;

• Basic knowledge with SQL

•Good problem-solving abilities and strong passion to learn new things.

- Soft skills:

• Team player, fast learner

• Behavioral flexibility

• Effective communication

• Initiative

• Customer focus

The following will increase your value, as a professional, for us:

• 1+ year as manual QA Engineer experience in web applications;

• 0,5+ year Automate Web UI and API tests (+Mobile Software Testing)

Responsibilities:

• Analyze product requirements and support the development process.

• Analyze and report of test results in collaboration with leads.

Investigate, accumulate, and analyze info from specs, mockups, tickets, chats, and emails for further documentation.

• Provide functional and non-functional (mostly UI and UX, sometimes performance) testing.

• Create, manage, and control test documentation – test-cases, test-reports, checklists, etc.

We offer:

• Salary according to qualifications and experience;

• Official employment;

• 21 working days of paid vacation;

• 14 days paid sick leaves;

• Work on challenging web application projects which we deliver to our

clients from all over the world (North America, Europe, Australia, Asia).

Role Overview 

The AI Technical Engineer is responsible for designing and developing AI-driven prototypes, system components, and automation tools that support technical pre-sales, rapid proof-of-concept development, and internal engineering acceleration. 
The role focuses on hands-on software engineering, advanced AI integration, and building reusable frameworks that reduce development time and improve delivery quality. 

Key Responsibilities 

1. Technical Pre-Sales Engineering 

• Create working AI-based prototypes and demonstrations within short timeframes. 
• Analyze technical documentation, APIs, and system requirements to support project scoping. 
• Prepare technical components for proposals, including architecture sketches and feasibility assessments. 
• Support the pre-sales team with technical validation and rapid solution prototyping. 

2. AI Engineering & Code Automation 

• Build AI agents capable of generating backend code, CRUD modules, API endpoints, and tests. 
• Develop AI-driven tools that automate common engineering tasks (authentication modules, integrations, data models). 
• Implement agent workflows using modern LLM frameworks. 

3. Product & Platform Development 

• Develop AI components for internal and client-facing software products. 
• Integrate external APIs, SDKs, and LLM providers into backend services. 
• Build scalable microservices, pipelines, and orchestration logic. 

4. Software Engineering & Infrastructure 

• Develop backend services using Python or Node.js. 
• Work with SQL databases, Docker containers, and CI/CD pipelines. 
• Collaborate with technical leads on architecture decisions and system design. 

Required Skills 

• Strong knowledge of Python or Node.js (production level). 
• Experience with LLM frameworks 
• Hands-on experience with OpenAI, Claude, or similar AI APIs. 
• Good understanding of REST APIs, authentication flows, and integration patterns. 
• Experience with SQL databases and data modeling. 
• Familiarity with Docker and Git-based workflows. 
• Ability to build proof-of-concept solutions within limited time. 

Nice-to-Have Skills 

• Experience with FastAPI or NestJS. 
• Knowledge of vector databases. 
• Experience with embeddings, retrieval systems, and agents orchestration. 
• Basic understanding of DevOps concepts. 
• Experience developing SaaS platforms. 

We offer:

• Salary according to qualifications and experience;

• Official employment.

• 21 working days of paid vacation.

• 14 days paid sick leaves.

• Work on challenging web application projects which we deliver to our clients from all over the world (North America, Europe, Australia, Asia).