Jobs at Djinni

About the role

We are looking for a QA Engineer to join our team working on an AI-powered drug discovery SaaS platform. The platform combines molecular screening, ADMET analysis, peptide optimization, and Datagrok integration. You will work closely with developers, product owner, and biologists to ensure quality across all platform features.

This is not an execution role — it is a leadership role. You will be the first dedicated QA Lead at Receptor.AI, responsible for building QA processes from the ground up, defining testing strategy, and setting quality standards across the platform. We expect you to take full ownership of quality and drive it forward independently.

Must have

• 3+ years of QA experience in a software product company, with at least 1 year in a lead or senior role
• Strong experience with manual testing — functional, regression, smoke, exploratory
• Proven experience building or significantly improving QA processes from scratch
• Hands-on experience with test automation — Python, Playwright, Pytest
• Experience with API testing — Postman, Swagger
• Basic understanding of REST API and HTTP
• Ability to work autonomously and make decisions without constant guidance
• Expeiliarity with Jira or similar issue trackers
• Upper-Intermediate English (written)

Tech Stack

• Test automation: Python, Playwright, Pytest, Pydantic
• API testing: Requests / HTTPX, Postman, Swagger
• CI/CD & Reporting: GitLab CI, Allure Reports
• Basic SQL knowledge
• Experience with Page Object Model architecture
• Test Management: QASE, Jira

Domain knowledge (our differentiator)

• Basic understanding of molecular biology — proteins, DNA/RNA, small molecules
• Understanding of protein structure from primary to quaternary (critical for understanding docking and screening results)
• Familiarity with the drug development process — from target identification to clinical trials
• Familiarity with concepts: protein, molecule, SMILES, docking, ADMET — or willingness to learn quickly
• Ability to distinguish between a UI bug and a scientific/business logic issue
• Experience in biotech, pharma, or life sciences software is a strong plus

Soft skills

• Attention to detail
• Proactive communication — if something is unclear, asks immediately
• Comfortable working with scientists and engineers in the same team
• Ability to work independently and manage own workload

Will be a plus

• Experience testing data-heavy or scientific platforms
• Experience with Datagrok or similar analytical tools
• Familiarity with drug discovery workflows

We are looking for an experienced Customer Support Professional. This role is responsible for providing support and guidance to users and customers across AI-driven products and services. The successful candidate must possess a strong technical background, professional work etiquette, and speak clearly and confidently. 

FLUENCY in English is a MUST.
 

RESPONSIBILITIES:

• Rapidly learn thorough understanding about the company, activities, services and able to answer the questions raised by a customer;
• Provide product/service information by answering questions, offering assistance;
• Follow up with prospective customers and return email / voicemail;
• Follow up with existing customers to confirm their satisfaction;
• Responsibility for researching and resolving complaints to ensure customers’ retention and satisfaction;
• Answer all incoming calls in a professional and timely manner;
• Attract potential customers by answering the questions about our products and services, offer information about other products and services;
• Keep a consistently positive, professional and cooperative tone with customers;
• Provide troubleshooting assistance for customers’ orders, account statuses and relevant problems.
   

EXPERIENCE AND SKILLS NEEDED:

• Must be fluent in productivity software such as MSOFFICE & GOOGLE WORKSPACE
• MUST be AI – AGI – GAI competent & certified.
• Strong technical background (IT, software, systems, or related fields);
• Must be fluent in comprehension, reading and writing English. Other languages spoken are the benefit.
• Manage incoming & outgoing calls to clients globally with deep experience in customer service processes and remote support environments.
• Flexible hours to support clients in the time zone regions of North American, Europe and  Asia.
• Critical thinker with excellent follow up, escalation skills to deliver results.
• Professional phone etiquette, with listening & communication skills;

Equipment requirements: high-speed Internet (50 Mbps upload and download speeds), noise-cancelling headset (headphones, a microphone), high quality video conferencing camera to participate with clients and company management.

Academic requirements: Bachelor’s Degree from a recognized University. Preferences will be granted to candidates with Higher Masters accreditation or Certification in Engineering.
 

Candidates must have AI certification from Anthropic (Claude) or equivalent accreditation institutions, demonstrating practical experience in developing with COWORK, AGENTS, SKILLS, LLM, workflows, automations, or other AI solutions. Link for the required courses: https://claude.com/resources/courses or equivalent.

Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools.

Webxloo, LLC is an international software development company that was founded in 2005 in Tampa, Florida USA. With employees globally with the common goal: “Building Your Online Universe”..

We are looking for a talented professional to develop the AI-powered humanoid Kinetic robotics system customized for automotive retail and wholesale services with real-world operational use cases. 

This role is fundamental in connecting our proprietary management software running on large language model (LLM) agents to physical kinetics robotic appliances through robotics middleware ROS1/ROS2, real-spaceal simulation environments, embedded control systems, and real humanoid platforms.

The ideal candidate will have strong hands-on robotics engineering experience involving autonomous robot behavior, robotic navigation, manipulation systems, and sim-to-real deployment workflows for humanoid robots operating in dynamic real-world environments. Experience working with Unitree humanoid robots, Unitree G1/G2/H2, Figure 02/03, NEO 1X and Agibot Yuanzheng A2 platforms, will be given higher consideration.
 

Tech Stack:

Python, ROS, ROS 1, ROS 2, OpenClaw / ROSClaw, Isaac Sim, NVIDIA Omniverse, MuJoCo, Gazebo, LLM APIs (Claude / OpenAI), Unitree SDK2, DDS (CycloneDDS), NVIDIA Jetson, STM32, Linux (Ubuntu), Git, MATLAB, CAD tools
 

Responsibilities:

• Building workflow and processes in simulation application with multi-level testing 
• Integrate an existing LLM agent with ROS2-based robotic systems and middleware architectures
• Design and implement tool-calling interfaces that translate AI outputs into physical robot actions and autonomous robotic behaviors
• Build, configure, and maintain robotics simulation environments (Isaac Sim / MuJoCo / Gazebo / NVIDIA Omniverse) with emphasis on real-space simulation accuracy and sim-to-real deployment readiness
• Develop and test humanoid robot behaviors in simulation, including navigation, object manipulation, environmental interaction, and household or real-world task automation workflows
• Work with Unitree humanoid robotics platforms, including Unitree G1/G2/H2, Figure 02/03, NEO 1X and Agibot Yuanzheng A2 robots, for integration, behavior testing, motion control, and real-world deployment validation
• Debug, iterate, and improve robot control logic, autonomy systems, perception pipelines, and middleware communication architectures
• Support sim-to-real transfer, including calibration, hardware validation, locomotion tuning, and performance optimization on physical humanoid robots
• Collaborate closely with hardware, embedded systems, AI, and robotics engineering teams to ensure seamless system integration between simulation and real-world robotic environments
• Assist in robotic navigation, localization, motion planning, and manipulation system development for autonomous task execution
• Collaborate on low-level hardware interaction and onboard compute integration using platforms such as NVIDIA Jetson and STM32-based systems
• Contribute to robotics software architecture decisions for scalable AI-driven humanoid robotics deployment
• Support robotics prototyping, kinematic analysis, motion system validation, and system testing workflows using MATLAB and CAD-based development processes
• Assist in sensor integration, actuator control, robotic perception systems, and robotics communication layers across ROS / ROS 1 / ROS 2 ecosystems
• Participate in real-world robotic deployment testing involving autonomous learning workflows and physical environment interaction
   

Required Skills & Qualifications:

• Strong several years experience with ROS2 (topics, services, actions, TF2) and familiarity with broader ROS / ROS 1 robotics ecosystems
• Proficiency in Python (async programming, APIs, system integration)
• Hands-on experience integrating AI/LLM systems with real-world robotic or automation applications
• Strong experience with robotics simulation tools such as Isaac Sim, MuJoCo, Gazebo, or NVIDIA Omniverse
• Real-space simulation experience involving autonomous robotic systems and sim-to-real validation workflows
• Understanding of robot kinematics, locomotion systems, motion planning, robotic navigation, localization, manipulation systems, and sensor feedback loops
• Experience developing or deploying autonomous robotic behaviors in real-world environments
• Experience working with Linux (Ubuntu) environments
• Strong debugging, robotics middleware, and distributed system integration skills
• Familiarity with onboard robotic compute platforms such as NVIDIA Jetson
• Exposure to embedded systems, microcontroller integration, or hardware communication protocols
• Good English communication skills (minimum B1/B2 level)
   

Preferred / Advantageous Experience:

• Experience working with Unitree robotics platforms and Unitree SDKs
• Hands-on experience with Unitree G1, G2, and H2 humanoid robots
• Experience developing humanoid robot behaviors involving locomotion, navigation, manipulation, or autonomous task execution
• Familiarity with OpenClaw or similar robotic manipulation frameworks
• Prior sim-to-real transfer experience in robotics projects
• Knowledge of reinforcement learning (RL) in robotic control systems and autonomous learning workflows
• Experience with household robotics, service robotics, or real-world robotic task automation systems
• Experience with AR/VR systems, haptics integration, or immersive robotics simulation workflows
• Exposure to humanoid robotics, dexterous manipulation systems, or embodied AI platforms
• Experience with embedded systems development using STM32 or related microcontroller platforms
• Familiarity with VHDL or low-level hardware interfacing for robotics and control systems
• Experience using MATLAB for robotics modeling, simulation, or algorithm development
• Familiarity with CAD tools and robotics prototyping workflows
• Experience deploying robotics or AI workloads on NVIDIA-based edge computing platforms
• Experience working in fast-paced startup or R&D environments
   

What we offer:

• A role within a company with a strong track record of innovation and success
• Diverse AI and automation projects that offer broad learning opportunities
• Room for career growth, skill expansion, and leadership development
• A collaborative international environment with a focus on cutting-edge robotics, AI, simulation, autonomous systems, and humanoid robotics technologies
• Opportunity to work on next-generation humanoid robotics systems integrating AI agents, robotics middleware, real-space simulation environments, autonomous learning systems, and real-world robotic deployment
• Direct exposure to advanced humanoid robotics platforms including Unitree robotic systems and real-world autonomous robotics applications
   

Job requirements: High-speed Internet (100 / 100 Mbps upload and download speeds), noise-cancelling headset (headphones with microphone), and a high-quality video conferencing camera to participate with clients and company management.
 

Candidates must have AI certification from Anthropic (Claude) or equivalent accreditation institutions, demonstrating practical experience in developing with COWORK, AGENTS, SKILLS, LLM, workflows, automations, or other AI solutions. Link for the required courses: https://claude.com/resources/courses or equivalent.

Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools 

Company Overview:
Webxloo, LLC is an international software development company founded in 2005, with headquarters in Florida, USA, and a branch in Ukraine. Our products, including Autoxloo and Simulcast , focus on business automation and real-time systems in the automotive industry. We are expanding and seeking a highly skilled AI & PHP Backend Developer to join our team.
 

Role Overview:
As an AI & PHP Backend Developer at Webxloo, you will play a dual role: designing and implementing AI-based automation solutions while developing and maintaining robust backend systems using PHP. You will collaborate with cross-functional teams to enhance our product offerings, ensure system scalability, and deliver intelligent automation solutions that provide real business value.
 

Key Responsibilities:

• Design, implement, and maintain AI-driven automation workflows to optimize internal and external processes.
• Build intelligent automation using machine learning, LLMs, and low-code/no-code tools such as n8n, Zapier, or Power Automate.
• Integrate AI features into enterprise platforms and software products.
• Develop and maintain backend modules using PHP frameworks such as YII2, Laravel, or Symfony.
• Work with databases including MySQL/MariaDB, MongoDB, Redis, and ensure efficient data management.
• Implement clean, maintainable code following OOP principles, SOLID, DRY, KISS, YAGNI, and PSR standards.
• Collaborate with front-end developers, QA, design, and support teams to deliver high-quality features.
• Monitor, debug, and enhance existing codebases to ensure system reliability, performance, and security.
   

Required Skills & Qualifications:

• 1+ year of experience in AI development, workflow automation, or backend PHP development.
• Solid experience with PHP frameworks (YII2, Laravel, Symfony) and OOP principles.
• Proficiency with MySQL/MariaDB, MongoDB, and caching/message queue systems (Redis, RabbitMQ).
• Experience with RESTful APIs, XML, DOM, CURL, and Regex.
• Familiarity with AI/ML tools, LLMs, and enterprise automation platforms.
• Strong analytical skills and attention to detail.
• English proficiency (intermediate or higher) for technical documentation and collaboration.
• University degree in Computer Science, Engineering, or a related field.
   

Preferred/Advantageous Experience:

• Experience with cloud platforms, Docker, Kubernetes, or serverless architectures.
• Experience in automotive, healthcare, or digital commerce industries.
• Knowledge of frontend frameworks (React, Vue.js) is a plus.
   

What We Offer:

• Competitive salary with regular reviews.
• Standard working schedule with no overtime (9:00 - 18:00, lunch break 13:00 - 14:00).
• Exposure to international projects with various AI and backend development challenges.
• Career growth, skill expansion, and leadership opportunities.
• Collaborative team environment with experienced professionals.
   

Technical Requirements:

• Computer or laptop with at least 16GB of RAM.
• High-speed internet (minimum 20 Mbps).

• Headset and webcam for regular video calls.
   
  Candidates must have AI certification from Anthropic (Claude) or equivalent accreditation institutions, demonstrating practical experience in developing with COWORK, AGENTS, SKILLS, LLM, workflows, automations, or other AI solutions. Link for the required courses: https://claude.com/resources/courses or equivalent.
   

  Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools.

If you are interested in this opportunity, we encourage you to apply now.

About the company:

Softermii (https://www.softermii.com/) is an outsourcing/outstaffing company with more than 11 years of experience in web and mobile application development with a team of more than 120 specialists from 6 countries.

We have withstood multiple challenges, such as COVID-19 pandemic and war aggression against Ukraine, we have secured sustainable development processes, saved all our projects and jobs. Even more – we’re constantly growing.     

Every day we add new project to our portfolio in the following areas of expertise:

• Healthcare
• Real estate
• Livestream E-commerce
• Fintech (WealthTech, Capital Trading)
• Real-Time Communications (RTC)

In addition, we develop 2 of our own solutions that help our customers get faster applications for video or audio calls (https://www.softermii.com/solutions/vidrtc) or an application for real estate with 3D visualization (https://www.softermii.com/solutions/apartmii)

Company’s mission:

Softermii: Succeed Without (L) imitations

We will turn any idea into a valuable product.

Our plans as a company:

We want to move from a regular outsourcing business to an ecosystem of outsourcing, education, and product development companies.

Over the years, we have arrived at a highly personalized working model with transparent workflows. This model allows us to create software products that meet our clients’ goals with precision.

We operate in an AI-assisted development environment, where engineering thinking, logical validation, and responsibility for business outcomes are more important than simply writing code.

________________________________________________________________________________________________________________________________________________________________

📲Project:

The technology platform in the field of commercial real estate, which helps the company find, evaluate and purchase "last mile" objects throughout the United States. The platform combines data, analytics, risk models and investment algorithms to accelerate and automate the decision-making process in real estate investments.

Type of cooperation: Full-time.

‼️Work schedule: 1:00РM-8:00PM CET (After the start of cooperation, it can be discussed)

Team👨‍💻: 3-4 data engineers and analytics on the client side

⚡️Your responsibilities on the project will be:

• Build and maintain SQL views, stored procedures, and transformation logic that convert raw source data into clean, reliable financial, operational, and portfolio analytics;
• Develop and maintain data warehouse objects following dimensional modeling best practices – fact tables, dimension tables, and SCD patterns;
• Work within our AWS environment – including Redshift as our core data warehouse and supporting infrastructure on S3 and Athena;
• Extend and maintain Python-based pipelines supporting data ingestion, validation, automation, and output delivery;
• Support quarterly and ad hoc reporting runs – troubleshoot issues, validate outputs, and coordinate with finance and asset management teams on discrepancies
• Maintain data lineage documentation, calculation logic, and DDL registries so the team always knows what runs, why, and how;
• Use Git for version control – branching, reviewing, and merging code changes following team standards;
• Build BI-ready views consumed by dashboards and downstream reporting tools
• Help extend our data lake infrastructure as new data products and business domains are onboarded;
• Leverage AI coding tools (such as Claude Code or similar) to accelerate development, improve code quality, and document logic more effectively.

🕹Tools we use: Git, Figma, AI-assisted dev tools (Claude Code, Etc).

🗞Our requirements to you:

• 2+ years of hands-on SQL experience – comfortable writing complex queries, CTEs, window functions, and aggregations
• Solid understanding of data warehousing concepts – fact/dimension modeling, SCD Type 1/2, ETL vs ELT.
• 2+ years of hands-on experience with a modern cloud DWH (Redshift, Snowflake, BigQuery, Databricks SQL, or similar) 
• Experience building or migrating a production project in dbt Core (the free/CLI version, not dbt Cloud)
• Familiarity with Git – branching, pull requests, merge conflicts, meaningful commit messages
• Comfort using AI coding assistants (Claude Code, GitHub Copilot, or similar) as part of a modern development workflow
• Strong attention to detail – the outputs you produce inform real business decisions
• Strong English communication skills – В2/C1 level 

🗞Nice to Have:

• Familiarity with Microsoft Fabric or the broader Microsoft data stack (Azure Data Factory, Synapse, Power BI)
• Familiarity with data management principles – data quality frameworks, data lineage tracking, and metadata management
• Familiarity with real estate finance concepts – NOI, Cap Rate, IRR, fund structures
• Experience with Yardi, MRI, or other property management / accounting systems
• Exposure to Airflow or similar orchestration tools
• Understanding of GAAP / accrual accounting basics
• Working knowledge of Python for data pipelines – file I/O, scripting, automation and validation (not required, but a strong plus)
• Experience reading or reconciling financial statements – P&L structure, GL account hierarchies, balance sheet vs income statement concepts
   

👨‍💻Who will you have the opportunity to meet during the hiring process (stages):
call, HR interview, Technical interview on the client side, Final interview

🥯What we can offer you:

• We have stable and highly-functioning processes – everyone has their own role and clear responsibilities, so decisions are made quickly and without unnecessary approvals. 
• You will have enough independence to make decisions that can affect not only the project but also the work of the company.
• We are a team of like-minded experts who create interesting products during working hours and enjoy spending free time together.
• Do you like to learn something new in your profession? We will be happy to pay 50% of the cost of courses/conferences.
• Do you want an individual development plan? We will form one especially for you + you can count on mentoring from our seniors and leaders.
• Do you have a friend who is currently looking for new job opportunities? Recommend them to us and get a bonus.
• Do you want to volunteer? We will add you to a chat, where we can get a bulletproof vest, buy a pickup truck or send children's drawings to the front.
• And we have the most empathetic HRs (who also volunteers!). So we are ready to support your well-being in various ways.

👨‍🏫A little more information that you may find useful:

- our adaptation period lasts 3 months, this period of time is enough for us to understand each other better;

- there is a performance review after each year of our collaboration where we use a skills map to track your growth;

- we really have no boundaries in the truest sense of the word – we have flexible working day is up to you.
 

Of course, we have a referral bonus system. So if you have a friend who likes our job opening, you can give us their telegram contact, and we in turn will thank you with a bonus if we start working with them!

As a Hardware Engineer, you will contribute to the development of the most advanced electronic equipment used in the UAV application area. There’s an opportunity to join the exceptionally skilled cross- functional team capable of creating advanced system-level solutions from scratch.

Responsibilities:

— participation in product and prototype development;
— design, develop, and review PCBs and their sub-components;
— drive resolution of different technical issues, including those related to architecture (performance, power consumption, thermal behavior), production (quality, manufacturing), and development (schematic design and review, PCB layout, and overall system integration);
— research on hardware components that could be used to solve business problems;
— documenting technical solutions;
— generating PCB manufacturing documents;
— be responsible for the entire HW product development lifecycle.

Skills & Experience:

— solid understanding of principles of analog/digital electronics;
— able to design the complex PCB projects;
— understanding of the full device manufacturing cycle;
— hands-on experience with lab measurements with modern equipment;
— knowledge of EMI/ESD protection principles;
— experience with modern simulation tools;
— experience with Altium Designer/KiCAD;
— strong debugging and troubleshooting abilities, analytical skills;
— intermediate level of technical English.

Nice to have:

— understanding of RF design;
— high-speed digital circuits design;
— PCB development with FPGA.

This position offers a unique opportunity to work in a high-tech team that develops innovative solutions and directly influence the future of the industry. Want to learn more about this role? Submit your application and we’ll be in touch to discuss the next steps!

Job Description

• Possess 3-4 years of comprehensive experience in full-stack software engineering, specifically designing and building robust enterprise applications within a professional development environment.
• This role operates under a fully remote work model, requiring the ability to effectively collaborate with distributed teams and manage tasks independently from a designated home office environment.

Required Skills:

• Demonstrated strong hands-on proficiency and extensive experience in developing and implementing solutions using the .NET framework, including advanced features and best practices.
• Mandatory expertise in designing, building, and maintaining web applications and services with ASP.NET, showcasing advanced capabilities in its various components and architectures.

Preferred Skills:

• Possess a solid working knowledge and practical experience with React, enabling the development of interactive and responsive user interfaces.
• Familiarity with TypeScript is preferred, demonstrating an understanding of its benefits for scalable and maintainable JavaScript applications.

Job Responsibilities

About the Role
We are seeking a Mid to Senior .NET Developer to help build, scale, and secure enterprise-grade healthcare applications. In this role, you will work across the full stack to design resilient back-end services, optimize relational databases, and deliver high-impact features that protect medical data and streamline healthcare operations.

You’ll thrive here if you enjoy solving complex architectural challenges in an Agile environment, championing automated testing, and collaborating across engineering, product, and UX teams.

Key Responsibilities
Core Development: Build and maintain high-availability web applications and microservices using C# and modern .NET frameworks.

Full-Stack Execution: Implement front-end components and integrate back-end APIs, ensuring seamless functionality across the entire application stack.

1. Performance & Scale: Enhance existing enterprise systems to improve throughput, scalability, and reliability for large-scale healthcare clients.
2. Database Optimization: Design, maintain, and optimize relational database schemas and complex queries to handle sensitive data efficiently.
3. Quality & Testing: Ensure enterprise-level software quality through automated unit/integration testing and active participation in peer code reviews.
4. Agile Architecture: Analyze technical requirements and design scalable software solutions within a fast-paced Agile framework.
5. DevOps Integration: Contribute to continuous integration and continuous deployment (CI/CD) pipelines and support DevOps best practices.
6. Troubleshooting: Diagnose and resolve complex technical issues across the stack to maintain optimal system performance.
7. What You Bring (Requirements)
   Experience: 3+ years (Mid) or 5+ years (Senior) of commercial software development experience using C# and .NET (.NET Core / .NET 6+).

• Database Mastery: Strong proficiency with relational databases (e.g., SQL Server, PostgreSQL), schema design, and query performance tuning.
• Architecture & Patterns: Solid understanding of Object-Oriented Programming (OOP), RESTful APIs, and scalable software architecture.
• Quality Focus: Demonstrated commitment to writing clean, maintainable code backed by automated testing.
• DevOps Awareness: Hands-on experience or familiarity with CI/CD pipelines, modern deployment strategies, and full-stack troubleshooting.
• Collaborative Mindset: Strong communication skills with experience working alongside QA, Product Management, and UX specialists.
• Nice-to-Haves
• Modern Front-End: Hands-on experience with React and TypeScript.

Domain Knowledge: Prior experience in healthtech, medical data security, HIPAA compliance, or high-security enterprise environments.

Cloud Architecture: Familiarity with AWS, Azure, or containerized environments (Docker/Kubernetes).

Department/Project Description

We are a leading healthtech solutions provider specializing in medical data security, risk mitigation, and administrative efficiency. Our proprietary platforms address critical compliance and security vulnerabilities faced by healthcare organizations worldwide. By leveraging innovative technologies for patient record linkage and identity verification, we empower healthcare systems to protect patient trust, reduce operational risk, and deliver seamless, secure services.

We are seeking a skilled ML/AI Engineer to join our team and deliver cutting-edge ML/AI models in the ASR domain and legal insights more broadly. The core of this role is building, deploying, and serving ML models in production. 

A key part of this role is speech engineering — prior ASR/speech experience is not a must, but a willingness to learn and grow into this domain is essential. Experience with LLM-based solutions and agentic flows is an advantage, not a requirement. 

What you’ll do: 

• Build, deploy, and serve ML models in production — the core of the role — optimizing inference performance, latency, and efficient GPU utilization. 
• Support and extend our speech solutions, including 3rd-party ASR integrations and self-hosted ML models. 
• Evaluate and optimize key ASR/ML metrics such as WER, latency, F1 score, EER, and DER. 
• Secondary: Integrate LLMs and agentic flows into production solutions where they add value, including fine-tuning existing models. 

What you’ll bring: 

Core (required): 

• Solid background in machine/deep learning, with 4+ years of experience. 
• Strong Python skills and experience working in Linux environments. 
• Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow) and training workflows. 
• Experience with MLOps pipelines and serving/deploying models in production. 
• Experience optimizing models for inference, including GPU acceleration. 
• Experience with Docker, gRPC, and serverless / micro-services architectures on cloud infrastructure (AWS/GCP/Azure). 
• Experience with real-time / streaming systems and low-latency processing (e.g. streaming pipelines, live sessions). 

Nice to have (secondary / optional): 

• Experience building and productizing agentic flows and AI-driven solutions (1+ year). 
• Familiarity with LLM / agent orchestration frameworks such as CrewAI, AWS Bedrock, Temporal, AgentCore, or LiteLLM. 
• Prior ASR / speech experience — not required; willingness to learn this domain is what matters most. 

What makes Verbit unique? 

Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows. 

Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more. 

With more than 3,000 global customers relying on Verbit—including top law firms, universities, enterprises and media organizations—we’re building the future of how speech data is processed, understood and used. 

We’re a group of: 

• Tech-savvy individuals who are always open to more growth and learning opportunities 
• Adaptable and flexible people who thrive in a fast-paced, startup environment 
• Creative minds who rethink and question how to outperform past results 
• Effective communicators who can promote and represent Verbit’s tech and brand 

GameCode was founded in 2017. We build online slot games for regulated markets across the USA, Canada, Europe, and beyond. Our team consists of more than 100 specialists, and we are looking for a Python Developer with hands-on iGaming and slot math experience.

What you will do

• Implement and fine-tune slot game math models and paytables
• Build and maintain game logic in Python
• Work closely with math and game designers to achieve RTP and volatility targets
• Test, validate, and simulate game math for compliance and fairness

What we expect

• 3+ years of software engineering experience
• 2+ years of professional Python experience
• 2+ years of experience in iGaming or the slots market
• 1+ year of experience implementing slot game mathematics
• English at B2 level or higher

Nice to have

• Experience with RTP simulations and volatility analysis
• Familiarity with regulated markets such as the UK, USA or Canada
• Open-source contributions or personal Python projects

What we offer

• Fully remote work
• Flexible working hours
• Long-term B2B cooperation
• Competitive rate depending on experience
• Training budget
• A flat team structure where your input matters

Recruitment process

Short screening call → technical interview → offer.
We aim to complete the process within 2–3 weeks.

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics, and banking.   
 

At Fozzy Group, we are developing a next-generation Decision Support System that connects operational, commercial, and investment data to optimize financial effectiveness and drive guest experience. As a Data Scientist you will own the measurement layer to derive Initiative & Investment Performance Insights. The role 

is organized around three streams: 

• Effect Measurement & Causal Inference: quantify the true incremental impact of initiatives using A/B testing and quasi-experimental methods. Measure uplift in purchase frequency, guest spend, average check, and retention against properly designed control groups, and form clear conclusions on whether an initiative works and is worth its cost. 

• Driver & Heterogeneity Analysis: identify the most significant factors of project performance using ML: guest profile structure and dynamics, technology presence, assortment, distance to competitors – so the business can assess project potential per store, forecast effects, and scale more effectively. 

• Self-Service Validation & Monitoring: build reusable, automated frameworks for effect validation and monitoring that let Finance and business owners get verified answers on demand, with full source transparency and reproducibility.
You will join a cross-functional team to design and implement data-driven decision module that directly influence financial outcomes. 

Job Responsibilities 

• Design and run experiments (A/B tests) and quasi-experiments (difference-in-differences, synthetic control, propensity score matching), and apply causal ML to estimate the incremental and heterogeneous effects of operational, commercial, and investment initiatives. 

• Build uplift / heterogeneous-treatment-effect models to learn which guests, segments, and stores respond most, and quantify effects on key metrics – purchase frequency, share-of-wallet / guest spend, average check, CLV, and retention (via survival models) – for pilot versus control groups. 

• Develop interpretable driver models (gradient boosting with SHAP, causal forests) that explain project performance, and rank the factors with the highest impact on results. 

• Build store-level potential-scoring and effect-forecasting models – probabilistic and hierarchical forecasting, transfer learning and store embeddings to borrow signal across the network – to guide and prioritize scaling decisions. 

• Design adaptive early-stop logic using Bayesian sequential testing, multi-armed bandits, and change point detection, to reallocate or halt rollouts as soon as the economic signal turns marginal. 

• Translate financial and commercial questions into statistically rigorous measurement designs, and connect statistical results to economic value (incrementality, ROI, payback). 

• Build SQL and Python pipelines, reusable feature sets / a feature store, and a self-service experimentation framework. 

• Productionize and monitor models (MLOps) – drift detection, automated validation, reproducibility, and source transparency. 

• Partner with Finance, Investment, Commercial, and Operations teams to deliver verified, decision ready insights. 
 

Requirements 

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance; 

• At least 2 years working experience on Data Science; 

• Strong foundation in Statistics, Causal Inference, and Experimental Design – A/B testing, Hypothesis Testing, Power Analysis; 

• Proven experience with SQL (Window functions, CTEs, joins) and Python; 

• Expertise in Machine Learning, Time Series Analysis; 

• Ability to work independently and decompose complex problems. 
 

Preferred 

• Experience with Airflow, Docker, or Kubernetes for Data Orchestration; 

• Practical experience with Amazon SageMaker: training, deploying, and monitoring ML models in a production environment; 

• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau, Looker); 

• Ability to design and deliver packaged analytical/ML solutions. 
 

What We Offer 

• Competitive salary; 

• Professional & personal development opportunities; 

• Being part of dynamic team of young & ambitious professionals; 

• Corporate discounts for sport clubs and language courses; 

• Medical insurance package.

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics and banking.
 

The Foodtech team is looking for a Data Scientist to develop the Operational Analytics function for a fast growing food delivery business. In this role, you will focus on time series forecasting, regression modeling, simulation modeling, and end-to-end machine learning pipelines to support resource planning and operational decision-making.

You will be responsible for developing simulation-based models that serve as a foundation for a digital twin of operational processes, enabling scenario analysis, stress testing, and what-if simulations for capacity planning and operational optimization.

You will work closely with product, engineering, and operations teams to transform data into measurable business impact through production-ready ML and simulation solutions.
 

Job Responsibilities:

• Develop and implement time series forecasting models for resource planning (demand, capacity, couriers, delivery slots, operational load);
• Build regression and machine learning models to explain key drivers and support operational decisions;
• Apply a wide range of time series approaches from classical models (SARIMA, ETS, Prophet) and ML models (GB) to modern Deep Learning models (LSTM, Temporal CNNs, Transformers for TS);
• Design, build, and maintain end-to-end automated ML pipelines, deploy and operate models in production using AWS SageMaker;
• Orchestrate training and inference workflows with Apache Airflow;
• Analyze large-scale operational datasets and convert results into insights, forecasts, and actionable recommendations;
• Collaborate with product managers, engineers, and operations teams to define business problems and validate analytical solutions;
• Monitor model performance, forecast stability, and business impact over time.
   

Requirements:

• Bachelor’s Degree in Mathematics / Engineering / Computer Sciences / Quantitative Economics / Econometrics;
• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques;
• At least 2 years working experience on Data Science;
• Experience of the full cycle of model implementation (data collection, model training and evaluation, model deployment and monitoring);
• Ability to work independently, proactively, and to decompose complex problems into actionable tasks.
   

Skills:

• Strong proficiency in Python with solid application of object-oriented programming (OOP) principles (modular design, reusable components, maintainable code);
• Solid experience in time series forecasting and regression modeling;
• Practical knowledge of:o Classical and ML forecasting techniques;
  o Statistical methods (hypothesis testing, confidence intervals, A/B testing);
• Advanced SQL skills (window functions, complex queries);
• Experience building automated ML pipelines;
• Understanding of MLOps principles (model versioning, monitoring, CI/CD for ML).
   

Nice to have:

• Hands-on experience with AWS SageMaker (training jobs, endpoints, model registry);
• Experience with Apache Airflow for data and ML workflow orchestration;
• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau);
• Experience working with large-scale production data systems.
   

What We Offer:

• Competitive salary;
• Professional & personal development opportunities;
• Being part of dynamic team of young & ambitious professionals;
• Corporate discounts for sport clubs and language courses;
• Medical insurance package.

We are looking for a Middle .NET Developer to join our team and work on an exciting FinTech project. You'll collaborate with experienced engineers to build scalable, secure, and high-performance backend solutions.

Responsibilities:

• Develop and maintain backend services using C# and .NET.
• Design and implement RESTful APIs.
• Participate in architecture discussions and code reviews.
• Collaborate with cross-functional teams to deliver high-quality software.
• Write clean, maintainable, and well-tested code.
   

Requirements:

• 3+ years of commercial experience with C#/.NET.
• Strong knowledge of .NET Core / .NET 6+ and ASP.NET Core.
• Experience with REST APIs.
• Solid understanding of SQL databases (MS SQL Server or PostgreSQL).
• Experience with Entity Framework Core.
• Knowledge of OOP, SOLID principles, and design patterns.

Nice to Have:

• Docker and Kubernetes.
• Azure or AWS.
• Experience with microservices.
• Previous experience in the FinTech domain.

We Offer:

• Remote work and flexible working hours.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

Ready to level up your career? 

Playtech's GPAS unit is looking for an experienced Scala Developer with excellent engineering skills.

Your influential mission. You will...  

• Participate in software design, development, refactoring, support, and code reviews to maintain high development standards.
• Collaborate with platform teams to deliver great results.
• Work autonomously on your tasks with little or no supervision.
• Optimize the platform to achieve maximum throughput and scalability.
• Be proactive and go beyond expectations.

Components for success. You...

• Bring at least 3 years of hands-on experience developing server-side applications in Scala.
• Have a strong working knowledge of Scala (preferably Scala 3) and SBT (Scala Build Tool).
• Demonstrate solid experience with Pekko/Akka, including HTTP, Actors, Cluster, Persistence, Streams, and connectors.
• Possess a strong understanding of the JVM, data structures, and algorithms.
• Exhibit excellent knowledge of parallel and concurrent programming principles.
• Have practical experience building high-scale, distributed systems with complex interfaces and integrations.
• Think like an engineer - taking ownership, driving solutions forward, and continuously improving systems and processes.
• Demonstrate exceptional problem-solving skills and critical thinking.
• Show a willingness to document solutions and actively share knowledge with colleagues.

• Communicate clearly and effectively in English.

   

You'll get extra points for...

• Previous experience in the iGaming domain.
• Experience working with Typesafe Config.
• Hands-on experience with Couchbase or other document-based NoSQL databases.
• Familiarity with AWS services such as S3 and DynamoDB.
• Experience using Play JSON.
• Proficiency with ScalaTest for testing.
• Experience with containerization and orchestration tools such as Docker, Nomad, or Kubernetes.
• Confidence working in Linux environments.

Thrive in a culture that values...   

• A friendly, cooperative, and goal-oriented team of experienced professionals.
• Clear goals and a results-driven environment.
• Open communication, knowledge sharing, and mutual support across teams.
• Initiative-taking and a confident approach at the workplace.
• Collaborative and supportive culture as well as stable long-term career opportunities.
• Global scope and inclusive working environment where you can engage with diverse teams and perspectives.
• Constant learning and development opportunities and professional growth programs.

• An active lifestyle and mental well-being supported through sports classes, master classes, and monthly well-being activities.

   

GPAS UNIT

We invite an experienced Scala Developer to become a part of Playtech as a new member of the GPAS product team. Gaming Platform as a Service aka GPAS is Playtech’s exclusive distributed games delivery platform that currently has more than 1000 games running on it. GPAS is a highly accessible, multi-tenant, scalable, distributed and event-driven system written in Scala with the help of the Akka framework. We use Couchbase as a hot storage and AWS S3/DynamoDB as our cold storage to ensure we can handle nearly a billion transactions per day. We have a complex solution that provides capabilities to run various types of online casino games. We adopt Scrum methodology to deliver new features on time.

Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.

About the Position

We’re growing fast and looking for a Senior Backend Engineer to join our Engineering team and help build the infrastructure that powers our platform at scale.

This is a high-impact role where you’ll work alongside top-tier engineers, designing and building secure, high-performance systems in a fast-paced environment. If you enjoy solving complex technical challenges and want your work to have real impact — we’d love to meet you.

What We’re Looking For

• Bachelor’s degree in Computer Science or a related field
• 5+ years of experience in backend development
• Strong experience building scalable, production-grade systems
• Proficiency in Node.js
• Experience with SQL and NoSQL databases
• Familiarity with cloud platforms and microservices architecture
• Strong problem-solving skills and attention to detail
• Passion for writing clean, maintainable, and efficient code

Bonus Points For

• Experience in cybersecurity or building security-focused products
• Experience working in startup or high-growth environments
• Familiarity with DevSecOps / SDLC tools
• Experience with distributed systems and high-scale data processing

Job Title: Senior Java Team Lead (Payments)
Company: VCG Tech Limited
Location: Remote (Global)
Employment Type: Full-Time

Role Purpose

You will lead the team that builds and runs our payments platform, the systems that move client money in and out of an online trading business. This covers deposit and withdrawal orchestration, integration with multiple third-party payment service providers, payout flows, and reconciliation. This is money-movement software, so correctness, idempotency, traceability and reliability are the standard, not aspirations. You own the architecture, the technical direction and the delivery accountability for a domain where a single mishandled transaction is a real problem for a real client.

This is a hands-on, coding team lead role. You will spend meaningful time in a Java and Spring Boot microservices codebase, with enough React and TypeScript to lead a fullstack team across the payment journeys clients and operations staff actually use. Day to day you balance writing and reviewing code, shaping the architecture, and growing the engineers around you, working closely with product, operations and other engineering teams to ship reliable payment flows. The team works remotely and you report to the CTO.

Key Responsibilities

Architecture and money-movement correctness

• Own the architecture of deposit, withdrawal, payout and reconciliation services across a Java microservices backend
• Design transaction flows that are idempotent, auditable and safe under retries, timeouts and partial failures
• Define how state transitions, ledgering and reconciliation guarantee that money is never lost, duplicated or stranded
• Set the standards for data consistency, event-driven messaging and failure handling across the team
• Drive technical decisions on resilience, observability and recovery for critical payment paths

Hands-on delivery

• Write, review and merge production code in Java and Spring Boot, leading by example on quality
• Build and maintain REST APIs and event-driven integrations between payment services
• Contribute to the React and TypeScript front end for client and operations payment journeys
• Keep CI/CD, automated testing and deployment pipelines healthy and fast
• Tackle the hardest or highest-risk parts of the work yourself when it matters most

Provider integration and reliability

• Lead integration with multiple third-party payment service providers behind a clean internal abstraction
• Design provider routing, fallback and retry behaviour that stays correct when a provider degrades or fails
• Build reconciliation between internal records and provider settlements to detect and resolve discrepancies
• Own monitoring, alerting and on-call readiness for payment flows using observability tooling
• Lead incident response for payment issues and turn root causes into lasting fixes

Team leadership and delivery

• Lead, mentor and grow a team of backend and fullstack engineers
• Own planning, prioritisation and delivery commitments for the payments roadmap
• Run pragmatic code review, design review and engineering practices that keep quality high
• Partner with product, operations and other teams to translate needs into reliable delivery
• Be accountable for the team's output, timelines and the operational health of what you ship

Required Experience & Skills

• Proven team-management experience is essential - you have directly led a team of engineers as their team lead, owning day-to-day coordination, planning, 1:1s, mentoring, performance and growth, and the team's delivery, while remaining hands-on with code
• 8+ years building backend systems in Java, with deep Spring Boot and microservices experience
• Strong track record building systems where correctness and reliability are critical, ideally involving money movement, transactions or other high-integrity data
• Practical mastery of idempotency, retries, distributed transactions and failure handling in distributed systems
• Strong SQL and relational database skills, including data modelling for transactional and reconciliation workloads
• Hands-on experience with event-driven architectures and message queues
• Experience designing and operating REST APIs and integrating with third-party providers at scale
• Working proficiency in React and TypeScript, enough to lead a fullstack team and contribute to the front end
• Solid experience running services on AWS with Docker, CI/CD and Git-based workflows
• Clear communicator who can drive technical decisions and align engineering with product and operations

Nice to Have

• Experience in payments, payment orchestration or integrating multiple payment service providers
• Background in reconciliation, ledgering or settlement systems
• Experience in fintech, brokerage or online trading domains
• Familiarity with KYC/AML and fraud-prevention concepts at a generic level
• Kubernetes experience for deploying and operating microservices
• Infrastructure-as-code experience, for example Terraform
• Hands-on experience with observability tooling such as Grafana, Prometheus or CloudWatch
• Comfortable working in a remote, product-team-oriented engineering organisation