Jobs at Djinni

DataArt’s Learning & Development department is looking for an Instructional Designer to join our team. We’re looking for someone creative and enthusiastic, committed to continuous development, and comfortable working with people. You enjoy creating self-paced courses, exploring new tools and approaches, and working in an international team to solve complex problems in an out-of-the-box way. If this sounds like you, consider applying.

Responsibilities

• Run the full course development cycle (analysis, design, development, implementation, evaluation) for self-paced courses.
• Interview subject matter experts and internal teams to clarify learning needs and define outcomes.
• Design course structure.
• Create course materials: text, visuals/infographics, quizzes, short videos, etc.
• Make minor edits in the LMS when needed.
• Plan and implement how course effectiveness will be measured; track results after launch and improve the course based on data and feedback.
• Support course rollout using internal communication channels.
• Build strong working relationships with internal partners and experts.

Requirements

• English: advanced written and spoken (C1+).
• Strong writing skills.
• 1+ year of experience creating self-paced courses.
• Strong visual taste and an understanding of graphic design principles.
• Experience in creating learning videos and visual materials (images, charts, graphics).
• Practical use of GenAI tools for content creation (text, video, images, quizzes, etc.).
• Basic LMS skills (especially with Open edX) and the ability to make minor edits in published courses is a strong plus.
• Experience in teaching, copywriting, or a related field (if you haven't created online courses before).
• Ability to manage several projects at once, prioritize, and meet deadlines.
• Strong communication skills and the ability to build trust with and internal clients and other colleagues.
• Willingness to learn continuously (new tools, adult learning theory, books, courses, etc.).
• Enthusiasm, energy, a positive mindset, and a can-do attitude

White Test Lab is looking for a proactive IT Recruiter to join our team and support the hiring process for both technical and non-technical roles.
In this role, you will work closely with hiring managers, contribute to sourcing strategies, and help ensure a structured and positive recruitment process.

 

REQUIREMENTS:
• 1+ year of recruitment experience in an IT company.
• Understanding of end-to-end recruitment processes (intake, sourcing, screening, interviews, offer stage).
• Experience using LinkedIn, job platforms, headhunting, and Boolean search to find candidates.
• Experience working with ATS systems and managing candidate pipelines.
• Ability to prioritize and manage multiple hiring processes simultaneously.
• Strong communication and collaboration skills when working with candidates and hiring managers.
• High level of responsibility, organization, and attention to detail.

 

Nice-to-Have:
• English level B1+ or higher.
• Experience hiring for technical roles.
• Basic understanding of recruitment metrics and reporting.

 

RESPONSIBILITIES:
• Support the full-cycle recruitment process for technical and non-technical roles.
• Conduct intake meetings with hiring managers to clarify hiring needs.
• Source candidates using LinkedIn, job platforms, and direct search.
• Conduct screening interviews and candidate assessments.
• Coordinate interview stages and communicate with candidates throughout the process.
• Maintain candidate pipelines in ATS (PeopleForce).
• Ensure a positive candidate experience during the recruitment process.

 

WHAT WE OFFER:
• Full-time remote position with stability and opportunities for career growth.
• Ukrainian holidays off, plus paid vacation and sick leave.
• Compensation for English courses and sports activities.
• Access to an in-house English-speaking club.
• Accounting support and a proactive, friendly work environment.
• Engaging in corporate events and team-building activities.

Key Requirements

HTML/CSS/Preprocessors:

• Strong command of HTML5 and CSS3.
• Hands-on experience with SASS, including mixins and style generators.
• Ability to build websites that work smoothly across different browsers, adapt to various screen sizes, and include responsive mobile layouts.

JavaScript/TypeScript:

• Confident use of modern JavaScript (ES6+).
• Solid foundational understanding of TypeScript.
• Competence in handling and managing DOM events.

React & State Management:

• Practical background in developing applications with React.
• Experience applying modern React hooks in real projects.
• Working knowledge of state management tools, including Redux

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

We need a battle-hardened SDET who doesn't need their hand held. You will own the automation strategy for Web, Mobile, and Edge environments, leveraging AI to move faster than traditional QA teams. We value clean code, efficient infrastructure, and engineers who treat "it works on my machine" as a challenge, not an excuse.

Technical Stack & Requirements

• Core Automation: Deep expertise in Java and Playwright (Web) + Appium (Mobile).
• AI-Native Workflow: You must be proficient in using AI tools (Claude Code, Copilot, or similar) to accelerate test development and maintenance. We want people who work smarter.
• Infrastructure & OS: Confident in the Linux console. You should be comfortable spinning up/troubleshooting in Docker and Kubernetes environments.
• Backend & Data: Solid grasp of REST API testing and SQL (you know your way around a database without a GUI).
• CI/CD & Git: Confidence working with Git and a clear understanding of how to integrate and maintain tests within modern CI/CD pipelines.
• Professional Standards: You take pride in your work. This means writing clear, maintainable test documentation and code as a standard part of your process.

Big Plus

• Experience with Computer Vision for automated testing.
• Experience with Edge unit device automation.
• Direct experience with BrowserStack for cross-platform scaling.

What We Offer

• Full Remote. We focus on delivery, not your chair location.
• Compensation. Competitive salary + yearly performance bonuses.
• Real Work-Life Balance. We avoid burnout culture. When the day is done, it is done. No weekend expectations or late-night pings.
• Flexible Syncs. We work standard business hours for team alignment, but we aren't rigid about your start and end times.
• Zero Bureaucracy. We are a lean team. No "meetings about meetings"—just pure development and problem-solving.
• High Impact. You aren’t a ticket-closer. You will directly influence architectural decisions and the product roadmap.

At BetSymphony, we are embarking on an ambitious project to revolutionize the online gambling industry. Our vision is to develop a cutting-edge gambling platform that will serve as the backbone for multiple different brands, each with its unique identity and target audience. This platform will leverage the latest technologies to ensure a seamless, secure, and engaging experience for users across the globe.

As a Scala Tech Lead on our team, you will play a pivotal role in bringing this vision to life. You will be involved in every stage of the development process, from initial design to deployment, focusing on creating a scalable, high-performance backend system that can support the diverse needs of multiple brands.

Working on this project will expose you to the latest technologies and challenges in software development, offering ample opportunities for growth and innovation. You will be part of a dynamic team that values creativity, collaboration, and a commitment to excellence.

Summary

We’re expanding our team and looking for a versatile Cloud and Solution Architect and Senior Software Engineer to help manage and evolve multi-cloud applications and large data/AI pipelines.

This role would be an ideal fit for a software engineer with experience in high-performance multi-cloud infrastructure and complex microservice architecture applications with a serverless approach.

• Key skills: Node, Typescript, Serverless, AWS, GCP, SQL, data lakes, media data processing, scalable architecture, infrastructure design, system integration;
• Focus: Cloud-native architecture, large-scale data ingestion and transformation, AI-augmented media workflows, integration with ERP and financial systems;
• Required experience: 5+ years in data engineering and cloud architecture roles with strong hands-on skills in GCP and/or AWS;
• Experience with data streaming, system integrations, and media data transformation;
• Employment Type: Full-time; permanent/long-term
• Location: Remote.

Job Description

Fast-growing public company that delivers real-time visual experiences to millions of users across dynamic, high-traffic environments. Our AI-powered platform processes large volumes of media content in seconds - enabling instant access to personalized visuals in physical-world settings.

We are currently in the process of migrating more services towards AWS from GCP. The platform consists of multiple applications on Node.js/React, Python, Java, and Kotlin.

We’re looking for a Data Engineer/Cloud Architect to join our team and help us evolve our data platform, enabling new capabilities in media processing, personalization, and analytics at scale.

What You'll Do

• Design and build cloud-native architectures on GCP and AWS for high-throughput media workflows and analytics;
• Develop and optimize data pipelines for ingestion, transformation, and storage in data lakes;
• Integrate data from external systems, including ERP and financial platforms (both real-time and batch);
• Collaborate on implementing AI-driven enhancements into visual media workflows (e.g., segmentation, enhancement, dynamic rendering);
• Ensure systems are secure, scalable, observable, and aligned with best DevOps practices.
•  

Requirements

• 5+ years of experience in cloud data engineering or cloud architecture roles;
• Proficient with AWS and/or GCP (e.g. S3, Lambda, RDS, SNS/SQS, OpenSearch, Cloud Functions, BigQuery);
• Programming skills in Node and SQL;
• Strong experience with data lakes, ETL/ELT, and streaming pipelines (e.g. Kafka, Pub/Sub);
• Skilled in system integration, including third-party APIs and enterprise data platforms;
• Understanding of media data workflows, AI/ML-based transformations, and large-scale processing;

• Comfortable working with IaC, CI/CD, and monitoring tools. Heavy deployment, scaling, and management of containerized applications with Kubernetes.

   

Bonus Points

• Experience with real-time image/video transformation pipelines;
• Hands-on knowledge of AI frameworks (TensorFlow, OpenCV, etc.);
• Background in consumer media tech, interactive platforms, or digital personalization;
• Awareness of data privacy and secure architecture practices.

Interview Process

• Tech interview/coding SC algo tasks (similar leetcode, hackerrank)
• Delivery call 

We are looking for a Senior DevOps  with a strong hands-on engineering background to join an international product development team for a UK-based client in the RegTech sector. This is a great opportunity for an experienced professional who wants to work on cutting-edge cloud solutions in a fully remote, flexible environment

Our client is a leader in financial compliance technology, building a cloud-native platform that helps businesses manage, analyze and secure communication data across multiple channels
 

What You'll Do:

• Support, maintain, and improve existing cloud infrastructure on Azure
• Participate in refactoring and modernization of infrastructure with focus on reliability and security
• Configure and maintain network security and application protection
• Implement and maintain Infrastructure as Code using Terraform (or similar tools)
• Build and support Kubernetes clusters and related cloud networking
• Configure, optimize, and support CI/CD pipelines for application delivery
• Set up and maintain monitoring, logging, and alerting systems
• Troubleshoot infrastructure issues and participate in incident resolution
• Collaborate closely with development teams to ensure smooth deployments and stable environments
   

Requirements:

• 3+ years of experience in Senior Devops Hands-on experience with Azure
• Proficiency in Windows and Linux OS
• Proficiency in Infrastructure as Code tools specifically Terraform
• Strong understanding of cloud security
• Solid knowledge of networking concepts (VNETs, firewalls, load balancers, routing)
• Experience in cloud cost management
• Experience with containerization (Docker, Kubernetes, Azure Container Apps) 
• Knowledge of CI/CD pipelines and automation tools (preferable Azure Devops)
• Hands-on experience with monitoring tools ( Azure Monitor and other)
• Nice to have experience with compliance frameworks (e.g., ISO 27001, SOC 2)
• Strong problem-solving skills and a proactive mindset
• Strong communication and collaboration skills
   

What We Offer:

• Fully remote work with a flexible schedule, aligned with the project manager.
• A friendly, professional team and a supportive atmosphere.
• Direct collaboration with an English-speaking UK client 
• 20 paid vacation days and 5 paid sick days per year.
• Company events and opportunities for professional growth.
   

If you're an experienced Senior Devops looking for a great product team where you can work on cutting-edge cloud solutions, collaborate with top professionals, and contribute to an innovative SaaS platform, we'd love to hear from you! 

We’re looking for an Senior AI Automation Engineer (Full-time or Part-time) with hands-on experience in building AI-powered automations and agent-based workflows, and operating such systems in production

This role is for someone who can independently take a business task, design an AI-driven automation solution, and deploy it into production
 

What You’ll Do
 

• Design and build complex business automation workflows using N8N and Make, Zapier as an additional tools
• Implement AI-powered logic within automation flows using leading LLMs (OpenAI, Claude, Gemini, etc.)
• Design and configure agent-based scenarios for multi-step reasoning and task execution
• Apply advanced prompt engineering to ensure stable and predictable LLM behavior
• Integrate automation systems with external platforms via APIs
• Deploy and maintain AI automation flows in production environments
• Work directly with stakeholders to clarify tasks and translate business needs into technical solutions
   

Requirements
 

• 2+ years of experience building AI-driven automations and agent-based workflows
• Strong practical experience with N8N, experience with Make and/or Zapier is a plus
• Hands-on experience working with major LLMs (OpenAI, Claude, Gemini, etc.)
• Solid understanding of agent-based system architecture
• Advanced prompt engineering skills
• Strong understanding of system integrations and REST APIs
• Experience deploying and operating AI automation systems in production
• Ability to work autonomously from task clarification to production deployment
• English level B2+
   

Would Be a Plus
 

• Previous experience with RPA platforms
• Programing background with Python or JavaScript
• Experience building AI chatbots for open-ended communications
   

Why Join Us
 

• Architect and implement complex AI-driven automation systems, not just simple integrations
• Deliver production solutions for top international clients across the US, Canada, and UK
• Flexible remote work format (full-time or part-time)
• 20 paid vacation days and 5 paid sick days for full-time position 
   

We hire for an engineering mindset and ownership. If you're ready to move beyond simple prototypes and embed best-in-class engineering practices into AI automation - we’d love to hear from you

We are looking for a Team Lead [Python] to join our team!  

Requirements:  
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field;

- 4+ years of experience in software engineering;

- Strong proficiency in Python, with experience with other programming languages;

- Solid understanding of computer science fundamentals, data structures, and algorithms;

- Strong knowledge of concurrency, parallelism, and related concepts;

- Experience with back-end frameworks (FastAPI);

- Expertise in object-oriented programming and SOLID principles;

- Experience with RESTful APIs and microservices architecture;

- Proficiency in version control systems, particularly Git;

- Familiarity with CI/CD pipelines and DevOps practices;

- Strong understanding of database systems (both SQL and NoSQL);

- Experience with AWS services, cloud architecture, and Serverless development; 
- Knowledge of containerization technologies (Docker, Kubernetes);

- Testing and quality mindset; understanding Test Pyramid methodology and different Test Categories;

- Understanding of Observability (structured logging, metrics, traces, OpenTelemetry) and Reliability (circuit breakers, backoff, idempotency). 

Will be plus: 
- Practical AI app experience: implementing RAG pipelines (chunking, indexing, retrieval, re-ranking) with vector stores (e.g., pgvector, Qdrant, Pinecone) and framework glue (LlamaIndex, LangChain, pydantic_ai or any similar);

- Integrating LLM providers via API (prompt/function-calling/tool use), with guardrails, caching, retries, and fallbacks.

- Familiarity with MLOps tools and practices (deepeval, prompts versioning, etc.);

- Experience with message brokers (e.g., NATS, Kafka, RabbitMQ);

- Familiarity with graph databases and algorithms;

Responsibilities:  
- Develop and maintain robust, scalable web applications that integrate AI models;
- Design and implement efficient APIs for AI model serving and data processing;
- Collaborate closely with the AI team to understand model requirements and optimize integration;
- Implement and optimize algorithms for data processing and feature engineering;
- Ensure high performance and responsiveness of applications;
- Implement security measures and data protection in line with industry standards;
- Participate in code reviews and contribute to improving development practices;
- Troubleshoot, debug, and upgrade existing software;
- Write technical documentation and maintain system architecture diagrams;
- Stay updated with emerging technologies and industry trends.

Our benefits to you:
☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

🗣Free internal English courses

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do

• Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
• Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
• Performance Optimization:

-Reduce end-to-end latency through asynchronous processing and streaming (SSE).

-Implement semantic caching strategies to minimize API costs and response time.

-Optimize token usage without sacrificing answer quality.

• Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
• Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

Requirements

• Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
• Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine-based agent frameworks).

Deep LLM Expertise (What we mean by "Deep"):

• Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
• Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
• Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
• Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have

• Experience with Elasticsearch (DSL queries, analyzers).
• Knowledge of vector databases and embedding models.
• Background in FinTech or familiarity with financial data structures.

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

What You'll Do

• Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
• Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
• Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
• Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
• Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

Requirements

• Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
• Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
• Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
• Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have

• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with LangChain or similar LLM frameworks.
• Experience with Evaluation tools (like LangSmith) to test search quality automatically.
• Background in Finance (understanding tickers, earnings calls, etc.).

Join a Company That Invests in You

Seeking Alpha is the world's leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

What We're Looking For

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if you’re great at SQL and have experience analyzing website data, you’re someone we want to talk to.

We’re looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. Our Analysts analyze raw data, not only pre-aggregated data, to extract just the right information and diagnose what is happening on our site.

The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization, and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, we’re looking for experienced analysts who can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we haven’t measured or used new ways to explain user retention, or analyzed features of users' data that we haven’t analyzed.

The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

What You'll Do

• Analyzing the behavior of users on our site and apps:

-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

• Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
• Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
• Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
• Split tests of product features:

-Design a test with clear success criteria

-Monitor test integrity

-Analyze results and give recommendations

-Use segmentation and clear cohort analysis to validate significant conclusions

-Conduct exploratory analysis to identify trends and opportunities

Requirements

• A minimum of 5 years in a B2C website-related Data Analyst position
• Strong SQL skills with experience writing complex and efficient analytical queries
• Demonstrated experience with working in English directly with business stakeholders, understanding their needs, and explaining results
• Understanding of website development and operations and how they connect to data gathered.
• Experience with data visualization tools (Looker/Tableau/PowerBI, etc.)
• Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling

Are you passionate about E-commerce and Content Management? Nestlé Business Services Lviv team is looking for those who are ready to take on the challenge and become a part of our loyal & dynamic team. In this position, you will be able to apply your skills and knowledge in the international environment, cooperate with Nestlé colleagues across the globe and grow your career within the biggest company in the FMCG industry. We’re proud to be an active equal opportunity employer to enhance diversity & inclusion in our company.

You are:

- A digital enthusiast with hands-on experience with e-commerce platforms like Magento, Adobe Commerce, Shopify,

WooCommerce, etc. Knowledge of Hybris will be a plus

- Hands-on experience with CMS including Drupal

- A professional SEO familiarity;

- Knowledgeable in web analytics tools and other optimization tools (e.g. Google Analytics, Google Search Console, Google Tag Manager, SessionCam etc);

- Confident in English on Upper-Intermediate level (both written and verbal);

- A great communicator and a team player.

With you we will:

- Execute content, product, promotion management in Magento2;

- Perform Q&A activities upon introduction of any change on the digital landscape;

- Carry off End-to-end testing prior to release (NDG.COM and Mobile Apps);

- Implement SEO optimization;

- Configure and Q&A existing features on Magento2 platform;

- Track market requests and key activities delivered for the business, report on key activities delivered.

What’s in it for you: 

Remuneration package: annual salary review & bonus, 28 days of paid vacation, paid sick leaves, medical insurance, lunch allowance, IT Club discount program;

Official employment;

Personal & Professional development opportunities

International environment and diverse team;

About Nestlé

Nestlé Business Services Lviv (NBS Lviv) provides world class business services for Nestlé entities in more than 70 countries across the globe. We are experts in accounting, social media monitoring, user management support, payroll, procurement and personal data administration.

Our talented people have a possibility to gain global expertise, practice their language skills (our corporate language is English), obtain new knowledge every day through collaboration with our partners in different countries. They strive for continuous improvement and are eager to participate in challenging tasks.

ROIFORCIO GmbH (Austria, R&D in Ukraine) is looking for an AI RAG DevOps / Developer the Pitch Avatar product team. We are looking for a hands-on practitioner to lead the migration and optimization of our RAG infrastructure. Full remote work.

Skills: result-oriented, proactive, deep understanding of vector search algorithms, ability to solve complex performance bottlenecks, practical rather than theoretical mindset.

Requirements:

• 3+ years of experience in Backend Development (Python or Golang);

• 1+ year of practical experience building and maintaining RAG (Retrieval-Augmented Generation) systems in production (not just Pet projects);

• Deep experience with Vector Databases:  Zilliz Cloud / Milvus (priority), or Weaviate/Qdrant/Pinecone;

• Proven track record of optimizing RAG performance: experience reducing ingestion time for large files and achieving low-latency search (< 3s);

• Strong experience with AWS infrastructure; knowledge of Azure and GCP is a strong plus (multi-cloud strategy);

• Experience in DevOps: containerization, deployment, and managing cloud resources for AI workloads;

• Experience handling Multimodal content: parsing and indexing PDF, XLS, MS Word, PPTX, TXT, MP3, MP4;

• Experience with Structured Data Integration: connecting LLMs to relational DBs and SQL tables (Hybrid Search);

• Experience creating MVPs from scratch and customizing solutions;

• Understanding of MCP (Model Context Protocol) and Local LLM deployment is a plus;

• English at Intermediate level (B1+).

Duties:

• RAG Migration & Architecture: Lead the migration from AWS OpenSearch to Zilliz Cloud (Milvus) or a similar high-performance Enterprise solution to solve current cost and speed issues.

• Performance Engineering: Optimize the ingestion pipeline to ensure content addition (up to 10MB) takes no more than 10 seconds.

• Latency Optimization: Ensure Avatar responses (LLM + RAG) are delivered in under 2-3 seconds while maintaining high relevance and utilizing full context.

• Multimodal Data Processing: Develop robust pipelines for parsing and indexing diverse file formats (documents, audio, video) in multiple languages.

• Hybrid Search Implementation: Implement logic to query both unstructured vector data and structured relational data (SQL/Tables) simultaneously.

• Infrastructure Scalability: Prepare the architecture for future multi-cloud support (Azure, GCP) and integration of external RAG sources.

• DevOps & Deployment: Manage the deployment of AI services, ensuring stability and handling "noisy neighbor" issues in a multi-tenant environment.

• Innovation: Support the integration of future technologies like MCP and local LLMs.

Technological Stack: Python/Golang, Zilliz Cloud (Milvus), AWS (Azure/GCP planned), OpenAI, LangChain/LlamaIndex, SQL, Docker, Kubernetes.

Work:

Contract of Private Entrepreneur with Austrian company

Remote work

Please see product and try first: pitchavatar.com

Distributed Team

Required skills experience:

Vector DBs (Zilliz/Milvus/Weaviate) 1+ year

Backend (Python/Go) 3+ years

DevOps/Cloud (AWS) 2+ years

RAG Architecture 1+ year

Required languages: English B2

About Pitch Avatar

Pitch Avatar is a startup that is changing the approach to training, presentations and sales. We create smart avatars that speak for you, teach beginners, conduct demos and do not get tired. We utilize advanced RAG infrastructure to make our avatars knowledgeable, but we need you to make them faster and smarter!