Jobs

Required skills:
— Experience with LLMs (OpenAI, Claude, LLaMA or similar)
— Experience building RAG systems (knowledge bases, embeddings, retrieval)
— Hands-on experience developing AI solutions in production
— Strong Python skills (FastAPI / async / API integrations)
— Experience integrating AI with databases (PostgreSQL)
— Experience with message queues (RabbitMQ)
— Understanding of real-time system architecture
— Experience with ASR (speech-to-text) and TTS (text-to-speech)
— Understanding of voice/chat AI pipeline architecture
— Experience working with APIs and microservice architecture
— Experience with high-load systems
— 3+ years of experience
— Ability to work with business logic and real client data

Nice to have:
— Experience building voice bots (inbound / outbound)
— Experience in call centers / fintech / collections
— Experience with WebRTC / streaming
— Docker / Kubernetes
— Experience in call analysis (agent scoring, script compliance monitoring)

Responsibilities:
— Develop AI chat systems working with real client data (CRM, history, statuses)
— Build RAG systems based on company knowledge bases
— Develop voice AI bots (inbound and outbound calls)
— Integrate AI with internal systems (CRM, ERP, APIs)
— Implement dialogue logic based on business scripts and protocols
— Analyze calls: transcription, quality scoring, detection of script deviations
— Automate call center operations and improve agent efficiency
— Optimize latency and stability of AI solutions in real-time environments
— Work with large volumes of data (calls, chats, customer history)
— Build and develop internal AI services for the company
— Collaborate with backend and DevOps teams to integrate AI into products

About the role

We are sourcing a senior payments engineer for a US fintech client running a number of card tokenization deployments. The work centers on Mastercard Digital Enablement Service (MDES) and Visa Token Service (VTS) integrations — payment credential tokenization, lifecycle management, network certification, and supporting infrastructure for fintech rollouts.

This is not a generic "fintech experience" role. We are specifically looking for engineers who have shipped MDES or VTS in production, ideally at a card issuer, processor, or BaaS platform.

What you will work on

Card network tokenization flows (MDES and/or VTS) Token provisioning, lifecycle, and de-tokenization Network certification and compliance work Integration with card management systems, HSMs, and issuer/processor APIs Cross-functional work with payments product, risk, and infrastructure teams

Required

5+ years in payments engineering Production experience with MDES or VTS (not adjacent, not "exposure" — actual ship-to-prod work) Strong backend engineering (Java, Go, Python, or Node.js depending on stack) Familiarity with PCI DSS scope, HSM integration patterns, tokenization standards Comfortable working directly with a US-based product team in their working hours (some overlap required)

Nice to have

Background at Mastercard, Visa, Marqeta, Galileo, Stripe Issuing, Adyen, Thredd, GPS, Worldpay, Fiserv, or a similar issuer/processor/BaaS EMV / 3DS / ISO 8583 working knowledge Experience with Apple Pay / Google Pay / Samsung Pay provisioning flows Card issuing background (BIN sponsorship, KYC integrations, dispute flows)

Engagement details

Start: ASAP (within 2-3 weeks of selection) Duration: Multi-deployment scope, initial commitment 3-6 months with strong likelihood of extension Mode: Embedded full-time (40h/week) or senior project consulting (20-30h/week) depending on your availability Working hours: Some overlap with US Eastern timezone required (at least 3-4 hours)

How to apply

Reply with your CV and a short note covering:

1. The specific MDES or VTS production work you have shipped (network, issuer, processor, what role you played)
2. Your current availability and earliest possible start date

Thank you. 

Project overview 
Group107 is looking for a Senior Desktop Systems Engineer to join a client project - Othello, a SalesTech startup building a real-time AI platform that empowers sales professionals to succeed in every conversation. The platform integrates with calendar, email, and CRM, delivering smart pre-meeting insights, live in-call guidance, and post-call performance analysis (buyer sentiment, action items, recommendations).
 

You will join an early-stage, well-funded team (pre-seed at $20M valuation, backed by Long Journey Ventures and founders of DoorDash, Axonius, Exodigo, and Chime) at a critical moment — just before the seed round — with enterprise pilots already running with companies of $10B+ market cap, including U.S. Steel.

     Responsibilities

• Build and improve a high-performance desktop application across macOS and Windows
• Own OS-level behavior including window management, lifecycle, background processes, system events, permissions, notifications, installers, auto-updates, and device or app integrations
• Design and implement native modules and system-level integrations where needed
• Work across Electron, native code, and desktop architecture to push the product far beyond a typical web app in a shell
• Help define how the application is structured across processes, IPC boundaries, native capabilities, and the frontend layer
• Drive performance, responsiveness, stability, and correctness across the desktop stack
• Contribute to product experience and interaction quality, especially where desktop behavior directly shapes UX

• Take full ownership of complex desktop problems end-to-end, from architecture to delivery, with minimal supervision

   

  Requirements

• 8+ years of professional software engineering experience
• 3+ years of hands-on experience building production desktop applications
• Strong experience building desktop software on macOS and/or Windows
• macOS: Advanced knowledge of Swift (Objective-C is a plus)
• Windows: Strong experience with Rust or C++ (C# is acceptable)
• Deep understanding of operating system behavior and desktop application architecture
• Strong grasp of system-level concerns: process architecture, memory and CPU usage, IPC, permissions, windowing, file system access, auto-updates, and OS integrations
• Ability to reason about low-level implementation details while keeping product quality high
• Experience designing software that feels truly native on macOS and Windows
• Experience with Electron in production
• Solid React knowledge and frontend sensibility
• Strong engineering judgment, problem-solving ability, and high execution standards
• Ability to look at the product from a user perspective and care deeply about responsiveness, smoothness, and correctness
• English — Advanced (C1) or higher

     Soft Skills

• Very strong written and verbal communication skills
• High ownership — drives problems to resolution without micromanagement
• Self-sufficient and comfortable operating with minimal task-level direction
• Strong product mindset — evaluates engineering decisions through the lens of end-user experience
• Ability to take on hard engineering problems and solve them properly
• Comfortable in an early-stage, fast-moving startup environment

     Nice to Have

• Experience publishing apps to the Mac App Store and/or Microsoft Store
• Familiarity with code signing, notarization, and update channels (Sparkle, Squirrel, etc.)
• Experience with audio/video capture, accessibility APIs, or system-wide overlays
• Exposure to AI-powered product features or real-time data pipelines
• Experience working with FastAPI / Python backends or GCP infrastructure

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is looking for a Senior Full Stack Engineer with strong expertise across both frontend and backend, a passion for building scalable, high-quality products, and proven ability to handle end-to-end feature development.

In this role, you’ll play a key part in advancing our web architecture, improving system performance, and enhancing the overall development standards of our platform. You’ll work on complex real-time products, helping shape fast, reliable, and user-friendly experiences.

If you enjoy solving technical challenges, working with modern technologies, and creating clean, efficient solutions — we’d love to connect.

This role offers the opportunity to make a direct impact on product quality, technical decisions, and overall platform growth within a fast-moving and collaborative environment.

Key Requirements:
🔹 5+ years of software engineering experience, with strong frontend expertise in modern JavaScript frameworks (React, Angular, Vue), TypeScript, and modern build tools (Vite, Next.js, SWC);
🔹 Proven experience improving frontend architecture and scaling web applications;
🔹 Strong understanding of TypeScript, build tools (Webpack, Vite), and browser APIs;
🔹 Solid backend fundamentals 5+ years — API design, data flow management, and building scalable systems with Python as a must-have and Node.js considered a strong plus.
🔹 Hands-on experience with AI tools such as Cursor, Claude, and ChatGPT
🔹 Product-oriented mindset with strong attention to UX, quality, and maintainability;
🔹 Strong communication skills and the ability to work effectively in cross-functional teams;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive frontend improvements by introducing better development practices, tools, and modern technologies;
🔹 Design and develop scalable, high-performance web applications using React and modern frontend frameworks;
🔹 Take ownership of features from planning to production, including technical design, implementation, and optimization;
🔹 Work closely with Product, Design, and engineering teams to deliver smooth and intuitive user experiences;
🔹 Support backend development in Python to ensure strong integration across the full product stack;
🔹 Improve development processes, code quality, testing, and overall engineering efficiency;
🔹 Focus on performance, reliability, and maintainability across the platform;

Interview stages:
🔹 HR Interview
🔹 Intro Call
🔹 Technical Interview
🔹 Final Interview
🔹 Reference Check
🔹 Offer

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

About the Role

Playson is a globally recognised iGaming supplier delivering a high-performance, microservices-based platform designed to process billions of financial transactions every day. Operating at high scale (5–7k RPS), our cross-regional infrastructure is built to deliver near-zero latency and a seamless player experience under constant load.

We’re looking for a Senior SRE / DevOps Engineer to join our Platform Tribe - a lean & senior team where ownership is high and expectations are even higher. This is a deeply hands-on role at the core of a high-traffic system, where you’ll be directly responsible for maintaining reliability, performance, and stability in a fast-paced environment.

You’ll be working on real-time production challenges, handling incidents, managing alerts, and being part of a critical on-call rotation. This role requires resilience, strong decision-making under pressure, and a proactive mindset to continuously improve systems operating at scale.

If you thrive in high-load environments, enjoy solving complex production issues, and want to have a direct impact on systems used by millions - this is the place for you.

Key Responsibilities

• Own system reliability by actively monitoring platform health, managing alerts, and responding to incidents in real time
• Participate in 24/7 on-call rotations, taking full ownership of production stability in a high-traffic (5–7k RPS) environment
• Investigate incidents, perform root cause analysis, and implement long-term fixes to prevent recurrence
• Build and continuously improve monitoring, alerting, and observability across the Kubernetes (EKS) ecosystem
• Deploy, manage, and optimise infrastructure using Terraform, Helm, and GitOps tools (Flux/ArgoCD)
• Drive automation and proactively improve system resilience, reducing manual intervention and recurring issues
• Maintain and evolve CI/CD pipelines and infrastructure-as-code practices
• Collaborate closely with engineering teams to support deployments and minimise user impact in a live environment
• Introduce and integrate new tools and technologies to enhance scalability, reliability, and performance
• Handle environment-specific requests and ensure smooth day-to-day platform operations under constant load

Requirements

• Strong hands-on experience with Kubernetes (deployment, scaling, troubleshooting) in high-load environments
• Experience with GitOps tools such as FluxCD or ArgoCD
• Proven experience in incident response, root cause analysis, and postmortems in production systems
• Solid experience with AWS, Terraform, Docker, and CI/CD pipelines
• Experience with monitoring and observability tools such as Datadog, Prometheus, Grafana, and logging stacks like ELK or CloudWatch
• Strong understanding of networking concepts and protocols
• Proficiency in at least one scripting language (e.g. Python, Go, Node.js)
• Experience working with version control systems (Git)
• Familiarity with incident management tools like PagerDuty, Opsgenie, or similar
• Ability to operate effectively in a fast-paced, high-pressure environment with strong ownership and accountability
• Proactive, resilient mindset with a focus on continuous improvement and system stability

What We Offer

• Competitive Salary: We offer a competitive salary, subject to annual performance reviews
• Quarterly Bonuses: Benefit from a transparent and systematic quarterly bonus system
• Unlimited Paid Vacation: Enjoy unlimited paid vacation leave, including Ukrainian bank holidays
• Unlimited Paid Sick Leave: Take unlimited paid sick leave whenever necessary
• Flexible Schedule: We offer a flexible work schedule to accommodate your needs
• Remote Work: Choose to work remotely, providing greater flexibility and comfort
• Medical Insurance: Receive comprehensive medical insurance for both you and a significant other
• Financial Support for Life Events: We provide financial support during special life events
• Professional Development: Get reimbursement for professional development courses and training
• International exposure: Attend industry expos, team gatherings & global meet-ups
• B2B contracts

Recruitment Process

1. HR Interview (30-45 min)

2. Interview with a Product Owner (60 min)

3. Technical interview (90 min)

4. Final Interview with C-level (60 min)

Trinetix is looking for a skilled AI-Native Engineer.

We are building an AI-native ecosystem that will power both our internal SDLC and the next generation of AI-driven solutions for our clients. Our R&D organization is developing context-aware AI agents, intelligent engineering tools, and graph-based knowledge systems that integrate directly into real development workflows. 

This initiative will reshape how software is planned, built, tested, and evolved—unlocking entirely new capabilities for our teams and our clients’ product engineering organizations. 

Requirements 

• Hands-on experience building RAG systems, vector search, or semantic pipelines. 
• Familiarity with knowledge graphs (Neo4j, RDF, property graphs, graph DBs). 
• Experience working with LLM APIs (OpenAI, Anthropic, Gemini, Llama, etc.). 
• Understanding of embeddings, text processing, chunking strategies, and retrieval optimization. 
• Experience building developer tooling, internal tools, plugins, or automation. 
• Ability to design and prototype systems independently. 

Nice-to-Have 

• Experience building agentic systems (AutoGen, LangGraph, crewAI, smolagents, function-calling agents, etc.). 
• Experience implementing GraphRAG or similar graph-structured retrieval approaches. 
• Familiarity with AI-powered SDLC tools (copilots, code intelligence, static analysis via LLM). 
• Understanding of software architecture and system design. 
• Experience with CI/CD pipelines, DevOps tooling, or platform engineering. 
• Ability to create ontologies or domain data models. 
• Experience working in R&D would be preferable. 

Core Responsibilities 

• Designing the core models and abstractions that will underpin our AI-native engineering ecosystem. 
• Developing intelligent mechanisms to surface the right information at the right time. 
• Creating assistive capabilities that streamline engineering tasks and workflows. 
• Driving innovation in how software teams interact with knowledge, context, and automation. 

• Collaborating across the organization to embed AI into the end-to-end delivery process. 

   

What We Offer 

• Opportunity to build a first-of-its-kind AI-native SDLC environment 
• Chance to influence engineering workflows across the entire company 
• Work within a high-impact, exploratory R&D team 
• Competitive compensation and growth opportunities 
• Full autonomy to prototype, test, and implement ideas 
• Professional training and English/Spanish language classes   
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture 

About the Role

INSTYTUTUM is a Swiss high-performance skincare brand scaling globally across the U.S., Europe, and the Middle East.

We are looking for a Performance Creative Strategist / Content Producer with a game-changing mindset — someone who doesn’t just create content, but builds high-converting creative systems that drive growth.

This is not a traditional content role.
This role sits at the intersection of creative strategy, performance marketing, and production.

🔥 What You Will Own

Creative Strategy & Production

• Develop bold, high-impact creative concepts for the U.S. market
• Own the full lifecycle of performance creatives: from idea → production → testing → scaling
• Turn skincare science into compelling, conversion-driven storytelling
• Create and oversee short-form video content (TikTok, Reels, YouTube Shorts)
• Generate hooks, angles, and narratives that capture attention and convert

Performance & Growth

• Build and scale creative-driven acquisition funnels
• Produce performance creatives for paid channels (Meta, TikTok, Google, YouTube)
• Work closely with media buyers to test, analyze, and scale winning creatives
• Continuously run creative experiments (A/B testing, iterations, new formats)
• Optimize content for conversion across ads, landing pages, and retention flows

Creative Systems & Scaling

• Build a repeatable system for creative testing and scaling
• Work with UGC creators, designers, and editors to produce high-volume creatives
• Identify trends, insights, and opportunities in the U.S. digital landscape
• Balance speed, volume, and quality in content production

🎯 What We’re Looking For

• 3–5+ years in creative strategy / performance marketing / content production (with performance focus)
• Proven experience creating ad creatives for paid social (Meta, TikTok)
• Strong understanding of creative testing, hooks, and conversion mechanics
• Experience working with U.S. market or global products
• Hands-on experience with short-form video and UGC formats
• Ability to combine creative thinking with data-driven decisions
• Background in IT product / mobile apps / DTC / beauty / wellness is a strong plus
• English: Upper-Intermediate+

❌ Not a Fit If

• You focus only on brand/content without performance metrics
• You have no experience with paid acquisition creatives
• You are looking for freelance / consulting / part-time work

💎 What We Offer

• Competitive above-market salary
• Official employment from day one
• 30 calendar days of paid vacation + sick leave
• Remote / hybrid format with Kyiv office option
• Strong onboarding and support
• Opportunity to build and scale a global creative engine from scratch

If you think in hooks, test ideas daily, and scale what works — we should talk.

Our partner is a fast-growing algorithmic trading and fintech company with a proven track record of exceptional results. In 2023, they delivered annual returns of 60–100%. Current AUM stands at $15M, with an additional $20M from a prominent Hong Kong-based fund in advanced discussions. Their proprietary platform processes up to 12,000 messages per second via WebSocket, generates ~4,000 trading signals annually (75% profitable), and operates across Binance and Bybit futures markets — with active plans to scale further.
 

Main Responsibilities

– Develop and implement sophisticated algorithms for automated trading across financial markets
– Research and backtest new trading strategies using historical and real-time data
– Build mathematical and statistical models for risk assessment and market movement prediction
– Analyze and optimize existing strategies to improve performance and cost-effectiveness
– Collaborate closely with developers and engineers to integrate trading algorithms into the production system
– Conduct stress testing of strategies and adapt them to rapidly changing market conditions
– Monitor live trading performance, debug issues, and ensure strategy resilience
– Contribute to the development of a scalable, high-performance system architecture
 

Mandatory Requirements

Must have:

– 5+ years of experience in algorithmic trading, financial analysis, or quantitative modeling
– Deep understanding of financial markets, trading theories, and algo trading principles
– Strong expertise in probability theory, statistics, and mathematical modeling
– Proficiency in Python and/or Go; familiarity with Pandas, NumPy, scikit-learn
– Hands-on experience with live data feeds, exchange APIs, and financial platforms
– Proven ability to develop and test trading strategies using statistical methods

Nice to have:

– Experience with Binance, Bybit, or similar crypto exchanges
– Knowledge of HFT techniques and algorithm optimization
– Familiarity with ML methods for forecasting and classification
– Experience with distributed systems or high-performance computing; knowledge of Rust or C++
 

We offer

– Performance bonuses — percentage of profits generated by your strategies + milestone incentives for development and optimization
– Professional development — sponsorship for CFA/FRM/CQF certifications, access to industry conferences and internal training programs
– Cutting-edge tools — high-performance servers, GPU clusters, proprietary backtesting infrastructure, premium datasets and APIs
– Flexible remote work — fully remote to start, with a future office in Europe; flexible hours aligned with global markets
– Growth opportunity — join at a pivotal stage of expansion: five major exchanges, U.S. market entry, $35–40M capital raise in progress, and a sub-fund being established under a leading Hong Kong partner

About the Client

Our client is building advanced spatial computing and AI-powered solutions that transform large-scale visual data into accurate, high-quality 3D models. Their platform leverages cutting-edge computer vision, cloud infrastructure, and emerging technologies to solve complex real-world problems across industries.

About the Role

We are looking for a Senior Computer Vision & Photogrammetry Engineer to join the client’s team. This is a senior, high-impact role for someone who can bridge deep algorithmic expertise with scalable, production-grade infrastructure.

You will lead the design and deployment of high-performance 3D reconstruction pipelines, working closely with engineering and infrastructure teams to turn massive datasets into precise spatial outputs.

What You’ll Do

• Design and implement photogrammetry pipelines, including Structure from Motion (SfM), Multi-View Stereo (MVS), and bundle adjustment;
• Build and optimize high-performance 3D reconstruction workflows for large-scale datasets;
• Architect and manage compute infrastructure using Docker and Kubernetes;
• Develop data processing pipelines for ingesting, cleaning, and analyzing image and sensor data;
• Optimize algorithms for accuracy, performance, and scalability in production environments;
• Integrate multi-sensor data (e.g., IMU, GPS, LiDAR) for improved spatial accuracy;
• Apply state estimation techniques such as Kalman Filters for sensor fusion;
• Explore and integrate emerging approaches like Neural Radiance Fields (NeRF) and Gaussian Splatting;
• Optimize cloud-based processing workflows, particularly within AWS environments;
• Collaborate with cross-functional teams to productionize research-driven solutions;
• Monitor and improve system performance, reliability, and cost efficiency;
• Contribute to technical direction and best practices across computer vision and infrastructure.

Core Requirements

• 7+ years of experience in computer vision, photogrammetry, or spatial data engineering;
• Strong programming expertise in Python, including data processing with Pandas;
• Deep understanding of 3D geometry, camera models, and coordinate transformations;
• Proven experience with Structure from Motion (SfM) and Multi-View Stereo (MVS) pipelines;
• Strong experience with Docker and Kubernetes in production environments;
• Hands-on experience with large-scale data processing and optimization;
• Experience with at least one key 3D/vision library (e.g., Open3D, PCL, or Ceres Solver);
• Strong problem-solving skills and ability to work on complex technical systems;

Nice to Have

• Experience with SLAM (Simultaneous Localization and Mapping);
• Practical experience with NeRF or Gaussian Splatting;
• Experience implementing Kalman Filters or similar estimation techniques;
• Strong AWS experience (EC2 GPU, S3, Lambda, Batch, SageMaker);
• Background in real-time systems or sensor fusion;
• Experience with Kotlin.

What We Offer

• Competitive market salary;
• Fully remote work;
• Flexible working hours with overlap requirements;
• 28 days of paid time off per calendar year;
• Opportunity to work on impactful, cutting-edge technology;
• Collaboration with a highly professional, international team;
• Challenging projects with strong opportunities for growth and learning.

Success Metrics

• High-performance, scalable 3D reconstruction pipelines deployed to production;
• Measurable improvements in model accuracy and processing efficiency;
• Reliable and cost-optimized cloud infrastructure;
• Successful integration of advanced techniques into production workflows.