Jobs

We are seeking a Senior AI Engineer to join our engineering team and lead the effort in modernizing our e-commerce platform with AI capabilities. You will be responsible for the architecture, development, and integration of advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and fine-tuned language models, within a mature, enterprise-grade .NET environment. Besides hands-on engineering, you will influence technical direction, mentor fellow engineers, and play a key role in shaping our long-term AI strategy.

Key Responsibilities

• Lead the design and implementation of production-grade RAG architectures that connect large language models to proprietary product, customer, and operational data.
• Architect and build AI agent systems that automate complex e-commerce workflows, including customer support, merchandising, and order management.
• Drive the strategy and execution of fine-tuning foundation models on domain-specific datasets to enhance relevance, accuracy, and business alignment.
• Evaluate, select, and integrate third-party AI services and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock) into existing .NET applications and microservices.
• Define and promote best practices for prompt engineering, evaluation frameworks, model versioning, and responsible AI use across the engineering organization.
• Collaborate closely with backend, frontend, data engineering, and product teams to deliver end-to-end AI features within the current platform architecture.
• Own the performance, reliability, cost optimization, and observability of AI systems in production.
• Mentor mid-level and junior engineers, conduct code reviews, and raise the technical standard of the team.

• Proactively identify high-impact opportunities where AI can generate measurable business value.

   

What we are looking for:

• 7+ years of professional software engineering experience, including at least 3 years focused on machine learning or AI engineering.
• Extensive hands-on experience developing LLM-based applications, such as RAG, agent frameworks, and model fine-tuning in production environments.
• Strong proficiency in C# / .NET with proven experience managing enterprise-scale .NET codebases.
• Solid knowledge of Python for ML experimentation, training pipelines, and prototyping.
• Experience working with vector databases (e.g., Qdrant, Weaviate, Milvus, Amazon OpenSearch, Pinecone) in production.
• Proficiency with orchestration frameworks like Semantic Kernel, LangChain, or AutoGen.
• Strong understanding of RESTful APIs, microservices architecture, and distributed systems on AWS.
• Proven ability to make architectural decisions and communicate technical trade-offs to both engineering and non-technical stakeholders.
• Track record of leading complex technical initiatives from design to production deployment.
• Strong analytical skills and the ability to translate ambiguous business problems into clear, well-defined AI solutions.

Nice to have:

• Experience in the e-commerce domain (catalog, search, recommendations, personalization, customer service).
• Hands-on experience with MLOps practices, including model deployment, monitoring, A/B testing, and CI/CD for ML pipelines.
• Familiarity with AWS AI and ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, and Amazon Kendra.
• Practical experience working with AWS infrastructure services like Lambda, ECS, Step Functions, and S3 in AI workloads.
• Knowledge of embedding models, re-ranking strategies, and semantic search optimization at scale.
• Experience with platform modernization or large-scale migration projects in enterprise environments.
• Experience mentoring engineers or leading technical guilds and working groups.
• Contributions to open-source AI/ML projects or published research.

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Up to $300/year for English classes + a free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus 🎁.

About The Role

As a Senior/Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

About the Role

As a Senior Business Systems Analyst, you will play a key role in defining requirements and shaping the AI-driven future of Pearl’s Analytics and Experimentation platforms. You will work closely with Analytics, Machine Learning, and cross-functional Engineering teams to ensure our data and experimentation platforms are high-quality, AI-enabled, and lean.

This role is critical for driving the adoption of AI tooling, improving experiment workflows, supporting data platform enhancements, and ensuring data quality and regulatory compliance across systems.

 

What You’ll Do

AI Analytics Tooling (30%)

• Evaluate and pilot AI tools (e.g., ADI Bot, Databricks Agents) and design future enhancements.
• Define adoption metrics and collect user feedback.
• Create enablement materials and promote AI-driven workflow improvements.

Experimentation Platform Support & Optimization (25%)

• Support A/B testing frameworks and validate experiment configurations.
• Partner with Analytics, Engineering, and Machine Learning to improve experimentation workflows.
• Recommend tooling enhancements and streamline experiment lifecycle processes.

Data Platform Analysis & Metadata Governance (25%)

• Evaluate and design enhancements for current data platform offerings (Google Analytics, Internal Data, PostHog).
• Promote adoption of OpenMetadata and improve metadata coverage.
• Design and track AI readiness through documentation scores, dataset lineage, and other readiness metrics.
• Work with platform teams to enforce data standards and governance.

Data Quality Support (10%)

• Review data quality audits and communicate results across teams.
• Maintain data health scorecards and identify recurring issues.
• Collaborate with engineering teams to prioritize and resolve data quality issues.

Regulatory Compliance & Requirements Management (10%)

• Translate regulatory obligations (GDPR, CCPA, etc.) into system requirements.
• Work with Legal, Security, and Data Engineering on compliance controls.
• Document workflows, maintain audit artifacts, and support periodic reviews.
  
   

What We’re Looking For

• 5+ years of experience in Business Systems Analysis and/or database analysis, including end-to-end business requirements identification and gathering.
• Ability to query, analyze, and troubleshoot datasets using SQL.
• Experience with agile software development.
• Hands-on use of AI tools within analytics or data engineering workflows.
• Basic experience with a modern software development language (Python, C#, Java, TypeScript/JavaScript).
• Strong knowledge of Experimentation methodology/platforms
• Understanding of documentation standards, lineage, data quality audits, and governance processes.
• Сonceptual thinking, analytical, and problem-solving skills.
• Strong communication skills with proven experience collaborating cross-functionally with engineers, product managers, and analytics teams.
• Desire and ability to lead, advocate for features, and make data-driven recommendations.
• Ability to thrive in a fast-paced environment and meet aggressive deadlines while managing multiple projects.
• English proficiency (at least strong upper-intermediate level).

We are looking for an experienced Media Buyer to work with the Gambling vertical Tier1. You will be responsible for launching, optimizing, and scaling advertising campaigns across multiple traffic sources.

Traffic Sources

• Facebook Ads
• TikTok Ads

Responsibilities

• Launch and manage gambling campaigns across FB, TikTok sources
• Optimize campaigns to achieve stable ROI and profit growth
• Test creatives, funnels, approaches, and Tier1 GEOs
• Scale profitable campaigns and manage budgets
• Analyze performance metrics and make data-driven decisions
• Work closely with the team to improve overall results
• Follow internal processes and reporting standards

Requirements

• Proven experience as a Media Buyer in the Gambling vertical
• Hands-on experience with Facebook Ads, TikTok Ads traffic
• Strong understanding of performance marketing and analytics
• Ability to work independently and take full ownership of campaigns
• Result-oriented mindset and readiness to work with profit-based KPIs
• Experience with trackers, analytics tools, and anti-detect browsers is a plus

Compensation

Profit-based commission model:

• $0 – $10,000 → 15%
• $10,000 – $15,000 → 20%
• $15,000 – $25,000 → 25%
• $25,000+ → 40%

What We Offer

• Fully remote work format
• Flexible and fast-paced environment
• Opportunity to work with scalable budgets and strong offers
• Transparent commission system
• Long-term cooperation and growth opportunities to Team Lead

If you have solid experience in gambling and are ready to scale profitably — we’d be happy to connect

NuxGame is a dynamic IT company delivering top-tier software solutions for the iGaming industry. We empower operators of all sizes to expand into new markets, strengthen their existing brands, and achieve ambitious business goals.

We are looking for a Senior DevOps Engineer who is passionate about building resilient infrastructure and ensuring high availability for high-load systems. If you thrive in complex cloud-native environments and enjoy working with scalable architectures, this opportunity is for you.

 What will be your responsibilities:

• Design, build, and optimize high-load, highly available server-side platforms (Nginx, PHP-FPM, MySQL, Redis, message queues).
• Architect and maintain Kubernetes-based platforms and containerized workloads (Docker, Helm, GitOps).
• Design and operate secure network infrastructure:
  • Firewalls (iptables, UFW, security groups, NACLs)
  • Reverse proxies and L7/L4 load balancers
• Implement DDoS protection and WAF strategies (Cloudflare, rate-limiting, bot protection).
• Build and maintain observability stack:
  • Metrics (VictoriaMetrics, Prometheus)
  • APM (New Relic, OpenTelemetry)
  • Centralized logging and alerting
• Design, implement, and continuously improve CI/CD pipelines (Jenkins, GitHub Actions).
• Automate infrastructure and platform lifecycle using Infrastructure as Code and configuration management.
• Participate in architecture design, reliability engineering, and capacity planning.
• Ensure security, compliance, and audit readiness (PCI DSS, secrets management, access control).

What we expect from you:

• Strong hands-on Linux expertise (Debian, Ubuntu, systemd, networking, performance tuning).
• Deep experience with AWS:
  • Compute (EC2, ASG, EKS)
  • Networking (VPC, Load Balancers, peering)
  • Managed databases (RDS Aurora)
  • Messaging (SQS, Kafka)
• Strong database operations knowledge: MySQL HA, replication, backup strategies.
• Production experience with Kubernetes (cluster architecture, HA, upgrades, disaster recovery).
• Advanced CI/CD experience: Jenkins, GitHub Actions, GitOps practices.
• Strong Cloudflare expertise: DNS, CDN, WAF, DDoS protection.
• Infrastructure as Code: Terraform (mandatory), Ansible.
• Scripting and automation in Bash and Python.
• Solid understanding of networking and security fundamentals (TLS, IAM, VPN, firewalling, zero-trust).
• Experience working in regulated environments or with security standards (PCI DSS is a plus).

Tech Stack:

AWS, Kubernetes, Terraform, Helm, GitHub Actions, VictoriaMetrics, Grafana, New Relic, Aurora, Redis, Cloudflare, Python, Bash.

What we offer:

We believe that a happy team builds the best products. Here is how we support you:

Remote & Flexible – Work from anywhere. Our core hours are 09:00/10:00 to 17:00/18:00 (Kyiv time), Monday–Friday.

Financial Stability – Timely compensation payments.

Personal Equipment Policy – Equipment is provided to ensure comfortable and efficient work.

Knowledge Sharing – We regularly gather to discuss new trends, share insights, and grow together.

Community – Work in a team of like-minded professionals who support, inspire, and tackle complex challenges together.

Creative Freedom – We encourage initiative and provide space for professional expression and implementation of your ideas.

Time-off Policy: up to 29 days off per year, including up to 5 days for health-related absence (without medical confirmation);

Atmosphere – A friendly, results-oriented environment focused on mutual respect, free from unnecessary bureaucracy and pressure.
 

We believe in unlocking the inner potential of each team member within an open and democratic culture.

We look forward to welcoming you to our team! 

What Do We Do?

Madgicx is transforming how eCommerce brands scale their digital advertising through AI-powered automation and intelligent optimization. Our platform empowers thousands of brands to make smarter marketing decisions, automate complex workflows, and achieve unprecedented ROAS. We’re building the future of autonomous advertising, where AI and human creativity combine to unlock exponential growth.

Why Madgicx Needs You

As a Backend Engineer at Madgicx, you are responsible for building and maintaining the core APIs and services that power our AI-driven advertising platform. You will design resilient, high-performance backend systems that handle millions of advertising operations daily, integrate with multiple advertising platforms, and serve as the foundation for our AI agent ecosystem.

This is a hands-on engineering role where you’ll ship production code daily, collaborate closely with AI/ML teams, and directly impact thousands of brands’ advertising performance.

What You’ll Own

1. Core API Development

• Build and maintain RESTful APIs serving web, mobile, and AI agent clients
• Design database schemas and optimize query performance for high-traffic endpoints
• Implement authentication, authorization, and rate limiting for secure API access
• Write comprehensive tests (unit, integration, E2E) ensuring code quality and reliability

2. Service Integration & Data Pipelines

• Integrate with advertising platform APIs (Meta Marketing API, Google Ads API, TikTok Ads)
• Build data ingestion pipelines processing campaign metrics, creative performance, and audience insights
• Handle webhook processing, event streaming, and asynchronous job processing
• Implement retry logic, circuit breakers, and graceful degradation for external service failures

3. AI-Ready Infrastructure

• Build backend services that support AI agent workflows and LLM integrations
• Design APIs that enable AI agents to query data, execute actions, and receive feedback
• Implement observability hooks (tracing, logging, metrics) for AI system monitoring
• Collaborate with Data Science teams to productionize ML models and predictions

4. Performance & Scalability

• Optimize API response times (P95 <500ms) and database query performance
• Implement caching strategies (Redis, CDN) for high-traffic endpoints
• Design for horizontal scalability using containerization and orchestration
• Monitor system health, troubleshoot production issues, and participate in on-call rotation

5. Code Quality & Collaboration

• Write clean, well-documented, and maintainable Python code following team standards
• Conduct thorough code reviews providing constructive feedback to peers
• Participate in pair programming sessions and knowledge-sharing activities
• Contribute to technical documentation, runbooks, and architectural decision records

What You’ll Bring

Required

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience
• 5+ years of production backend development with demonstrable impact on system reliability and performance
• Python expertise: Strong proficiency in Python web frameworks (FastAPI, Flask, Django) and async programming
• API design: Experience building RESTful APIs with proper versioning, error handling, and documentation (OpenAPI/Swagger)
• Database proficiency: SQL expertise (PostgreSQL, MySQL) including schema design, indexing, and query optimization
• Cloud infrastructure: Hands-on experience with Google Cloud Platform (preferred) or AWS/Azure
• GenAI & Agentic Framework familiarity: Practical experience using GenAI tools (GitHub Copilot, ChatGPT, Claude) for development, understanding of LLM capabilities/limitations, worked on setting up agentic toolings such as RAG, Guardrails, Feedback loops, planning, MCP’s and orchestration tools etc...
• Containerization: Production experience with Docker and Kubernetes for service deployment

Non-Negotiable Technical Skills

Backend Core
Python Web Frameworks (FastAPI, Flask, or Django with async capabilities), SQL Database Design (PostgreSQL schema design, indexing strategies, query optimization), and API Architecture (RESTful design, authentication/authorization, rate limiting, error handling)

Cloud & Infrastructure
Google Cloud Platform (Compute Engine, Cloud Run, Cloud SQL, Pub/Sub, Secret Manager, IAM), Container Orchestration (Docker containerization, Kubernetes deployments, service configuration), and Infrastructure as Code (Terraform or equivalent for reproducible deployments)

Integration & Data
Third-Party API Integration (OAuth flows, webhook processing, rate limit handling, retry logic), Message Queuing (Pub/Sub, RabbitMQ, or Kafka for async processing), and Caching Strategies (Redis for session management, query results, and rate limiting)

GenAI & Observability
GenAI Tool Proficiency (Active use of GitHub Copilot, ChatGPT, or Claude for code generation, debugging, and documentation), LLM Integration Basics (Understanding of API usage, token management, prompt engineering, etc... ), and Observability (Structured logging, distributed tracing, metrics collection, and alerting)

Our Operating Principles

• Ship Code, Not Slides: We measure success by features in production, not meeting decks
• Engineering Excellence: Clean code, tested systems, thorough documentation, and scalable architectures
• Speed to Production: From feature branch to deployment in days, not weeks

• Data-Driven Decisions: We trust metrics, experiments, and user feedback over opinions

   

Continuous Learning: Every production incident and performance issue teaches us something new

What Success Looks Like (First 12 Months)

• Shipping velocity: Consistently deliver features from design to production within sprint cycles
• System reliability: Maintain <0.1% API error rate and P95 response times under target SLAs
• Code quality: Your PRs require minimal revisions and serve as examples for junior engineers
• AI readiness: Backend services seamlessly support AI agent integrations and ML model deployments
• Team impact: Improve developer productivity through better tooling, documentation, or architectural patterns

What’s In It For You

• Impact: Your APIs power advertising decisions affecting billions in ad spend across thousands of brands
• Technical Growth: Work with cutting-edge AI/ML systems, high-traffic APIs, and modern cloud infrastructure
• Ownership: Full responsibility for services from design through production operation
• Learning Budget: Conferences, courses, certifications, and dedicated learning time
• Compensation: Competitive salary, equity, performance bonuses, and comprehensive benefits
• Flexibility: Remote-first culture with flexible hours and work-life balance

Ready to Build the Future of Advertising AI? If you’re excited by the challenge of building ML systems that generate millions in revenue, we want to talk. Send us your GitHub, examples of production platforms you’ve built, and evidence of business impact you’ve driven. Show us why you’re the engineer who will help us revolutionize advertising through AI.

We’re looking for a Product Manager who will take ownership of a critical product area — supplier integrations and communication flows — and help us make them scalable, reliable, and user-friendly.

You will own a product area that sits at the intersection of external integrations, internal systems, and user experience.

PunchOut & Supplier Integrations

• Own the end-to-end lifecycle of supplier integrations — from discovery to launch and ongoing support
• Build and maintain relationships with external supplier representatives (both technical and business)
• Proactively drive integrations forward: follow-ups, coordination, troubleshooting
• Act as the main point of contact for customers regarding supplier integrations
• Collaborate closely with Customer Success, Sales, and Engineering teams
• Translate business needs into clear technical requirements
   

Supplier Management

• Own and evolve supplier-related functionality in the product
• Improve supplier onboarding and management flows
• Ensure data consistency, scalability, and usability of supplier features
   

Email Notifications

• Own the notification system (triggers, logic, templates, delivery)
• Improve clarity, relevance, and timing of notifications
• Optimize user engagement and reduce notification fatigue
   

What we’re looking for

• Strong communication and stakeholder management skills
• English level B2+ (both written and spoken)
• Solid understanding of APIs and data formats (JSON, XML)
• Strong product thinking and ownership mindset
• Experience building and driving a product roadmap
• Ability to prioritize and make decisions in ambiguous environments
• Comfortable working closely with technical teams
   

Nice to have

• Experience with third-party integrations (PM, BA, or technical role)
• Experience owning a product area end-to-end
• Background in SaaS / API-driven products
• Experience with notification systems or communication tools
• Basic technical troubleshooting skills (API logs, requests, responses)
   

Why this role is exciting

• You’ll own a complex and high-impact product area
• Work at the intersection of product, integrations, and user experience
• Influence how companies interact with suppliers through Precoro
• Be part of a team where ownership and initiative реально мають значення

Why you’ll love working at Precoro:

1. Trust-based management: No micromanagement—your ideas and initiatives are always encouraged.
2. Supportive team culture: You’re not alone, our team is open, honest, and always ready to help.
3. Reimbursement for professional learning: We invest in your growth through courses, lectures, and more.
4. Flexible hours: We care about results, not how long you sit at your desk.
5. 26 days off annually (15 vacation days + 11 public holidays): Work-life balance is a priority for us.
6. Medical insurance (after six months) and Unlimited sick leave without requiring a medical certificate. Your health matters most.
7. Pet-friendly offices in Kyiv: Love your furry friend? Bring them along!
8. Supporting Ukraine: We proudly assist the Armed Forces and contribute to projects that bring victory closer.

Our hiring is quick and straightforward:

1. Recruiter interview
2. Interview with a manager
3. Test task

4. Final Interview

    

Join a team that values trust, transparency, and open communication. You can read more about Precoro’s values at this link.

We foster an environment where everyone is encouraged to contribute ideas, challenge the status quo, and drive business growth!

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

proteanTecs provides an in-system self-monitoring solution for electronic chips and advanced test equipment. Using on-chip agents, deep data analytics, and machine learning, the product captures sensor data across design, production, and field operation, giving customers real-time visibility into chip performance, quality, and reliability. The platform processes large volumes of data in complex environments and helps customers prevent failures, optimize power and performance, and improve overall product quality. From an infrastructure perspective, it relies on cloud-based and distributed systems, supported by Kubernetes, CI/CD pipelines, infrastructure as code, and monitoring tools.

About the Role:

As a Senior DevOps Engineer at proteanTecs, you will design, implement, and maintain scalable infrastructure and deployment processes for a complex, customer-facing product. You will work in a small, distributed team with high ownership, contributing end-to-end from design to production. The role focuses on CI/CD pipelines, cloud and Kubernetes environments, and overall system reliability, observability, and performance. You will work closely with development teams to improve deployment processes, automate workflows, and support customer environments when needed.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines using GitHub Actions and related tools.
• Develop and manage infrastructure as code using Terraform and Terragrunt.
• Deploy and maintain cloud infrastructure across AWS, Azure, GCP or similar environments.
• Manage containerized environments using Docker and Kubernetes, including Helm charts.
• Automate configuration and deployment processes using Ansible.
• Monitor system performance and reliability using tools such as Prometheus and Grafana.
• Troubleshoot and resolve infrastructure and deployment issues in production environments.
• Collaborate with development teams to improve system scalability, reliability and deployment processes.
• Maintain networking configurations, DNS management, and load balancing solutions.
• Support customer-facing deployments and integrations when needed.

Required Competence and Skills:

• 5+ years of experience as a DevOps Engineer.
• Proficiency with GitHub and GitHub Actions for version control and CI/CD.
• Strong experience with Ansible for configuration management and automation.
• Hands-on experience with Terraform for infrastructure provisioning.
• Strong experience with containerization and Kubernetes orchestration, including Docker and Helm.
• Knowledge of at least one major cloud provider (AWS, Azure, or GCP).
• Proficiency in Python and Bash scripting for automation tasks.
• Good understanding of networking concepts, DNS, and cloud load balancing.
• Experience with monitoring and observability tools such as Prometheus, Grafana, or similar.
• Strong communication skills and ability to collaborate with distributed teams.
• Proficiency in English communication, both written and verbal.

Nice to Have:

• Experience with Terragrunt.
• Basic database knowledge and administration skills.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

🚨 We’re Hiring: Rockstar Account Executive (B2B + Upwork Sales Pro) 🚨

Hey there! 👋 We’re GigRadar📡 , the lean, mean lead-generation machine that’s changing how agencies win clients on Upwork (and beyond).

We mix smart automation, human creativity, and startup hustle to help businesses grow faster, better, and way more efficiently. If you’ve got charm, grit, and a track record of closing deals, we want you on the frontlines of our growth story.

💼 What You’ll Be Doing

You'll be the go-to expert for converting leads into happy, loyal clients. Think sales with soul, strategy, and a splash of startup chaos (the good kind).

🔎 Run Winning Demo Calls – Show prospects what GigRadar can do and why we’re the Upwork growth partner they’ve been waiting for
💸 Close Deals Like a Boss – Seal the deal and help us (and our clients) grow like wildfire
📊 Keep CRM Tidy & Powerful – Organize, update, and optimize pipelines in HubSpot like a sales scientist
🤝 Build Relationships That Stick – Earn trust, solve problems, and make clients feel like VIPs
🔄 Upsell Without the Hard Sell – Spot new needs and pitch solutions that make everyone win
💌 Stay in Touch – Keep the communication flowing with clients, teammates, and partners
💡 Be a Thought Partner – Collaborate cross-functionally to improve the way we sell, serve, and scale

✅ What You Bring

You're someone who gets it — people, sales, tools, and the fast pace of startups.

✔️ 2+ year in B2B Sales (SaaS or agency experience = huge bonus)
✔️ You know Upwork – how it works, what clients want, and how to pitch smart
✔️ CRM-savvy (HubSpot preferred) – you keep your pipeline cleaner than your kitchen
✔️ Strong English (verbal + written) – clear, friendly, and persuasive
✔️ Familiar with Boolean Search / ElasticSearch = bonus points
✔️ Self-starter, problem-solver, relationship-builder – you don’t wait to be told what to do

🌟 What’s In It for You

We’re small and growing fast – and that means real impact, real growth, and real fun.

💵 $1,000 - $1,500 base salary + 5-10% commission on sales (depending on experience and personal sales results)
🎯 Bonuses for performance – make more when we grow together (you can earn up to $5000/monthly from the bonus itself)
🚀 Fast-track career path – grow into Lead roles
🧠 Ongoing learning – Weekly team sessions + full access to insights on Upwork and client strategy
🌍 Fully remote – Work from wherever you do your best work
🎉 No red tape, all results – Your voice matters. Your work shows.

🎤 Sound Like You?

If you're ready to help businesses scale and freelancers win more — all while working in a high-energy, supportive, and fun environment — we’d love to meet you.

Apply now and let’s make magic happen at GigRadar. 💫

🚨 We’re Hiring: Rockstar Account Executive (B2B + Upwork Sales Pro) 🚨

Hey there! 👋 We’re GigRadar📡 , the lean, mean lead-generation machine that’s changing how agencies win clients on Upwork (and beyond).

We mix smart automation, human creativity, and startup hustle to help businesses grow faster, better, and way more efficiently. If you’ve got charm, grit, and a track record of closing deals, we want you on the frontlines of our growth story.

💼 What You’ll Be Doing

You'll be the go-to expert for converting leads into happy, loyal clients. Think sales with soul, strategy, and a splash of startup chaos (the good kind).

🔎 Run Winning Demo Calls – Show prospects what GigRadar can do and why we’re the Upwork growth partner they’ve been waiting for
💸 Close Deals Like a Boss – Seal the deal and help us (and our clients) grow like wildfire
📊 Keep CRM Tidy & Powerful – Organize, update, and optimize pipelines in HubSpot like a sales scientist
🤝 Build Relationships That Stick – Earn trust, solve problems, and make clients feel like VIPs
🔄 Upsell Without the Hard Sell – Spot new needs and pitch solutions that make everyone win
💌 Stay in Touch – Keep the communication flowing with clients, teammates, and partners
💡 Be a Thought Partner – Collaborate cross-functionally to improve the way we sell, serve, and scale

✅ What You Bring

You're someone who gets it — people, sales, tools, and the fast pace of startups.

✔️ 2+ year in B2B Sales (SaaS or agency experience = huge bonus)
✔️ You know Upwork – how it works, what clients want, and how to pitch smart
✔️ CRM-savvy (HubSpot preferred) – you keep your pipeline cleaner than your kitchen
✔️ Strong English (verbal + written) – clear, friendly, and persuasive
✔️ Familiar with Boolean Search / ElasticSearch = bonus points
✔️ Self-starter, problem-solver, relationship-builder – you don’t wait to be told what to do

🌟 What’s In It for You

We’re small and growing fast – and that means real impact, real growth, and real fun.

💵 $1,000 - $1,500 base salary + 5-10% commission on sales (depending on experience and personal sales results)
🎯 Bonuses for performance – make more when we grow together (you can earn up to $5000/monthly from the bonus itself)
🚀 Fast-track career path – grow into Lead roles
🧠 Ongoing learning – Weekly team sessions + full access to insights on Upwork and client strategy
🌍 Fully remote – Work from wherever you do your best work
🎉 No red tape, all results – Your voice matters. Your work shows.

🎤 Sound Like You?

If you're ready to help businesses scale and freelancers win more — all while working in a high-energy, supportive, and fun environment — we’d love to meet you.

Apply now and let’s make magic happen at GigRadar. 💫

🚨 We’re Hiring: Rockstar Account Executive (B2B + Upwork Sales Pro) 🚨

Hey there! 👋 We’re GigRadar📡 , the lean, mean lead-generation machine that’s changing how agencies win clients on Upwork (and beyond).

We mix smart automation, human creativity, and startup hustle to help businesses grow faster, better, and way more efficiently. If you’ve got charm, grit, and a track record of closing deals, we want you on the frontlines of our growth story.

💼 What You’ll Be Doing

You'll be the go-to expert for converting leads into happy, loyal clients. Think sales with soul, strategy, and a splash of startup chaos (the good kind).

🔎 Run Winning Demo Calls – Show prospects what GigRadar can do and why we’re the Upwork growth partner they’ve been waiting for
💸 Close Deals Like a Boss – Seal the deal and help us (and our clients) grow like wildfire
📊 Keep CRM Tidy & Powerful – Organize, update, and optimize pipelines in HubSpot like a sales scientist
🤝 Build Relationships That Stick – Earn trust, solve problems, and make clients feel like VIPs
🔄 Upsell Without the Hard Sell – Spot new needs and pitch solutions that make everyone win
💌 Stay in Touch – Keep the communication flowing with clients, teammates, and partners
💡 Be a Thought Partner – Collaborate cross-functionally to improve the way we sell, serve, and scale

✅ What You Bring

You're someone who gets it — people, sales, tools, and the fast pace of startups.

✔️ 2+ year in B2B Sales (SaaS or agency experience = huge bonus)
✔️ You know Upwork – how it works, what clients want, and how to pitch smart
✔️ CRM-savvy (HubSpot preferred) – you keep your pipeline cleaner than your kitchen
✔️ Strong English (verbal + written) – clear, friendly, and persuasive
✔️ Familiar with Boolean Search / ElasticSearch = bonus points
✔️ Self-starter, problem-solver, relationship-builder – you don’t wait to be told what to do

🌟 What’s In It for You

We’re small and growing fast – and that means real impact, real growth, and real fun.

💵 $1,000 - $1,500 base salary + 5-10% commission on sales (depending on experience and personal sales results)
🎯 Bonuses for performance – make more when we grow together (you can earn up to $5000/monthly from the bonus itself)
🚀 Fast-track career path – grow into Lead roles
🧠 Ongoing learning – Weekly team sessions + full access to insights on Upwork and client strategy
🌍 Fully remote – Work from wherever you do your best work
🎉 No red tape, all results – Your voice matters. Your work shows.

🎤 Sound Like You?

If you're ready to help businesses scale and freelancers win more — all while working in a high-energy, supportive, and fun environment — we’d love to meet you.

Apply now and let’s make magic happen at GigRadar. 💫

We’re looking for an experienced ML/NLP engineer to analyze ~700k job records and identify niches and sub-niches.

Scope:

• Generate embeddings from job titles/descriptions
• Cluster jobs into meaningful groups (niches)
• Create sub-clusters (sub-niches)
• Auto-label clusters using LLMs
• Provide clean structured output

Requirements:

• Experience with embeddings (OpenAI or sentence-transformers)
• Clustering (HDBSCAN, KMeans)
• Python (pandas, scikit-learn)
• Experience with large datasets

Nice to have:

• FAISS or vector DB experience
• Previous work with marketplace/job data

Deliverables:

• Script/pipeline
• Clustered dataset
• List of niches with labels

To apply:
Please share a similar project you’ve done and briefly explain your approach.

About the Role
We're seeking a Technical Product Manager/Business Analyst to bridge the gap between business-facing product managers and engineering teams. This role will help translate business requirements into technical specifications that engineering teams can execute efficiently.

Key Responsibilities
Translate business requirements into detailed technical specifications
Work closely with Claude AI agents to accelerate development workflows
Create and manage Jira stories with sufficient technical context
Collaborate with cross-functional teams (Product, Engineering, QA, UX)
Help implement AI-driven automation across the product development lifecycle
|
Required Skills
3+ years experience in technical product management or business analysis
Experience with AI tools, particularly Claude or similar LLM platforms
Strong understanding of software development processes
Ability to communicate effectively with both business stakeholders and technical teams
Experience with Jira and agile methodologies
Familiarity with CI/CD pipelines and automation concepts

Preferred Skills
Healthcare industry experience
Experience building or working with AI agents and skills
Knowledge of modern software architecture (microservices, API-first design)
Background in technical writing or documentation

As a Mobile Automation QA, you will:
Design and implement QA test automation infrastructure and test scenarios for client–mobile–backend systems, including communication between devices, front-end, back-end services, and mobile applications.
Design and execute end-to-end (E2E) tests for iOS and Android, testing new features while focusing on deep internal aspects of the feature and its integration with the operating system.
Learn and adopt new features, technologies, and platforms in a relatively short amount of time (e.g., Bugfender, Raygun, Crashlytics, Datadog).

Requirements:
Bachelor’s degree in Computer Science, Engineering, or another exact science field.
4+ years of experience writing automated tests for mobile devices, preferably using Python (UI automation tests, integration tests).
Experience working with iOS testing tools such as Instruments, XCUITest, XCTest, or Xcode.
Experience working with Android testing tools such as Instrumented Tests, Local Tests, Espresso, or Android Studio.
At least 1 year of experience in automation infrastructure development.
Experience working with RESTful APIs.

Advantage:
Experience writing mobile unit tests on devices or emulators.
Experience with mobile automation frameworks such as Robot Framework or Cucumber using Python – big advantage.
Experience with one of the following systems: AWS Device Farm, Sauce Labs, WebdriverIO, Docker, AWS, Airflow, BrowserStack App Automate.
1 year of manual web testing experience.
Experience working with or building CI/CD pipelines and understanding the mobile automation development cycle (Jenkins, GitHub Actions, Azure AppCenter).
In-depth knowledge of mobile operating systems.
Experience testing Mobile SDKs, location-driven features, NFC, or BLE integrations.
Experience testing battery consumption in background processes.

Domain: Audio/Sound recording
Job Description

Qualifications:

• 3+ years of experience in Machine Learning Engineering, Applied AI, or related roles, with experience building and shipping production applications.
• Hands-on experience developing applications with LLMs (e.g., OpenAI APIs, open-source models, LangChain, LlamaIndex, or similar).
• Strong proficiency in Python and experience building scalable, user-facing systems or APIs.
• Experience designing and deploying interactive or real-time AI systems.
• Solid understanding of LLM concepts, including prompt engineering, retrieval-augmented generation (RAG), and model evaluation.
• Familiarity with cloud-based ML infrastructure (AWS, SageMaker, or similar), with the ability to collaborate effectively with MLOps teams.
• Clear grasp of latency, cost, and performance trade-offs when serving LLMs in production.
• Bonus: Familiarity with music production workflows, DAWs, or audio plugins.

Education:

• Bachelor’s or Master’s degree in Computer Science, related technical field, or equivalent practical experience.

Job Responsibilities

You will develop customer-facing AI experiences and contribute to the systems that support them. This includes:

• LLM Application Development: Design and build interactive, user-facing LLM-powered features such as virtual assistants, creative copilots, and intelligent workflow tools integrated into our products.
• Product Integration: Work closely with product, design, and audio engineering teams to embed AI capabilities directly into DAWs, plugins, and user-facing platforms.
• LLM Deployment & Optimization: Implement efficient, low-latency model serving strategies for real-time user interactions, balancing performance, cost, and responsiveness.
• Prompt & Interaction Design: Develop robust prompt engineering and response strategies tailored to creative workflows, ensuring high-quality, context-aware user experiences.
• Collaboration with ML Platform Teams: Partner with cloud and infrastructure engineers to leverage and extend existing pipelines (e.g., AWS SageMaker) for production deployment.
• User-Centric Iteration: Analyze usage patterns and feedback to continuously improve AI-driven features and ensure they provide clear value to musicians and creators.

Department/Project Description

The company is looking for a Machine Learning Engineer to help build and deliver next-generation AI-powered experiences for our customers. This role focuses on developing outward-facing LLM applications, such as intelligent assistants, creative tools, and interactive features integrated into our digital audio workstation and plugin ecosystem.

While you will work with state-of-the-art Large Language Models and collaborate with infrastructure teams, the core of this role is application development: designing, building, and deploying engaging, real-time AI features that enhance music creation workflows and delight our users.