Jobs at Djinni

✨ Welcome to WinMedia — Driving Innovation in iGaming Products! ✨
 

We build and develop product solutions in the iGaming industry 🎯. Our team works on in-house products, continuously improves internal processes, and uses data-driven approaches to make better decisions.

We are currently looking for an Anti-Fraud & Payments Manager who will take ownership of both the Anti-Fraud function and user payout operations. This is a hands-on role where you will build processes, develop risk and verification rules, oversee payout-related workflows, and ensure that user withdrawals are processed efficiently and safely.
 

📌 About the Role

We are looking for an experienced and proactive Anti-Fraud & Payments Manager to build and develop the Anti-Fraud and Payments function within our iGaming product company.

You will be responsible for user verification, fraud and risk assessment, payout checks, and the operational process of user withdrawals. You will decide when and how payouts should move forward, create and assign payout-related tasks, investigate suspicious cases, and continuously improve the rules and processes behind these operations.

This role combines Anti-Fraud expertise with ownership of the user payout process. You will work closely with Product, Customer Care, both VIP and Support teams, and other teams to make the verification and payout journey efficient, secure, and scalable.
 

🔨 Responsibilities

• Build and develop the Anti-Fraud & Payments function.
• Develop and implement rules, checks, and procedures for user verification, fraud detection, and payout processing.
• Review user activity and withdrawal requests, investigate suspicious cases, and make risk-based decisions.
• Take ownership of the user payout process, including creating, prioritizing, and assigning payout-related tasks.
• Identify fraud patterns, operational risks, and bottlenecks, and continuously improve related processes.
• Develop and maintain internal procedures, guidelines, and controls for Anti-Fraud and payouts.
• Monitor key metrics and ensure the verification and payout processes are efficient, secure, and scalable.
• Collaborate closely with Product, Support, VIP, and other teams to resolve cases and improve Anti-Fraud and payout workflows.
   

✅ Requirements

• 2+ years of experience in Anti-Fraud / Risk / Payments Operations, preferably in iGaming.
• Experience working with online casino / betting products is a strong advantage.
• Hands-on experience with user verification, fraud detection, and suspicious activity analysis.
• Strong understanding of common fraud scenarios, risk indicators, and detection methods.
• Practical experience with user withdrawals and payout processes.
• Understanding of how to assess and approve/reject payout requests based on risk and verification results.
• Experience building or significantly optimizing Anti-Fraud and/or payout processes.
• Experience working with tools such as Sumsub, KYCaid, Fingerprint.com, and similar solutions.
• Experience using AI tools in work processes is a strong advantage.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Ability to make independent decisions and take ownership of operational processes.
• Ability to work with large amounts of information and prioritize cases effectively.
• Strong communication skills and the ability to collaborate with Product, Customer Care, VIP, and Support teams.
   

🎯 Ideal Candidate

• Has hands-on Anti-Fraud and/or Payments Operations experience in iGaming.
• Understands that the role is broader than traditional Anti-Fraud and is ready to own both risk and payout operations.
• Understands the specifics of users, deposits, withdrawals, and fraud risks in gambling products.
• Can independently develop a system of rules, checks, controls, and payout workflows.
• Is comfortable making decisions on individual cases while also thinking about the bigger process.
• Can build a structured and scalable process rather than simply following existing procedures.
• Takes full ownership of the Anti-Fraud & Payments function and is ready to develop it further.
   

🎁 What We Offer

💰 Competitive salary and financial incentives
🚀 The opportunity to build and develop the Anti-Fraud & Payments function
🎨 Freedom to make decisions and implement your ideas
📈 Professional and career growth opportunities
🌍 Flexible work setup
🤝 Work in a product-focused iGaming company alongside a professional team

A large-scale consumer mobile application with millions of active users required a robust testing strategy to ensure stability, performance, and seamless user experience. Testing efforts focused on both iOS and Android platforms, covering functional validation, UI/UX consistency, geolocation features, and real-time interactions.

Responsibilities

• Contribute as a key member of a world-class Android Engineering and QA Automation team.
• Design, implement, and maintain automated test cases and frameworks in Kotlin, JUnit, Espresso.
• Own the quality lifecycle: identify issues, file and track bugs in Qase(or similar systems), and drive them to resolution
• Collaborate closely with Android engineers to ensure application code is testable and automation-friendly.
• Build and maintain in-house tools for test parallelization, network mocking, and custom reporting.
• Perform peer code reviews, ensuring robust test coverage and reliable CI pipelines.
• Drive improvements to the CI/CD ecosystem, ensuring scalability, maintainability, and speed of test execution.
• Explore and integrate AI-assisted development approaches to enhance test generation, workflow optimization, and CI/CD practices.
• Actively participate in Agile ceremonies – daily standups, sprint planning, retrospectives, and showcases.

Skills Required

• 2+ years of experience as an SDET, QA Automation Engineer, or related role, with a strong focus on Android application testing.
• Proficient in Kotlin and the Android SDK, with strong debugging and troubleshooting skills.
• Hands-on experience with JUnit, Espresso and UI automation.
• Experience with dependency injection frameworks (Dagger/Hilt) and API testing using Retrofit.
• Familiarity with Jetpack libraries and modern Android development best practices.
• Strong experience with Git/GitHub, familiar with both Gitflow and trunk-based development.
• Knowledge of SOLID principles and ability to apply them in test framework design.
• Ability to apply or readiness to adopt AI-driven testing practices, including test generation and workflow automation.
• Strong English communication skills

#vacancy #VoIP / #Asterisk Engineer (Fintech) | Remote | $2,000–3,000

Key Requirements

• 3+ years of commercial experience in a relevant role.
• Strong expertise in Asterisk (versions 13 and above).
• Hands-on experience building and maintaining VoIP solutions for contact centers or fintech environments.
• In-depth understanding of SIP and RTP protocols, including NAT and QoS.
• Experience configuring and managing SIP trunks.
• Experience configuring IVR workflows, agent queues, and skill-based routing, including fallback and overflow logic.
• Experience with call recording, CDR, and CEL.
• Strong Linux administration skills (Ubuntu/Debian) in production environments.
• Practical experience securing VoIP infrastructure, including protection against brute-force attacks, Fail2Ban, firewall configuration, ACLs, and rate limiting.
• Experience integrating Asterisk with external systems, including CRM, billing, antifraud solutions, and APIs.
• Experience using AMI / ARI to integrate Asterisk with backend systems.
• Understanding of financial systems requirements, including reliability, auditability, and logging.
• Ability to quickly understand and troubleshoot complex or legacy systems.

Responsibilities

• Maintain and continuously improve the company’s telephony platform.
• Ensure the stable operation of support, collections, and sales communication channels.
• Configure and maintain IVR menus, call queues, and routing logic in line with business processes.
• Integrate the telephony platform with internal services, including CRM, backend systems, and billing.
• Ensure high availability and minimize system downtime.
• Monitor call quality and key performance metrics, including SLA, ASR, and ACD.
• Identify and resolve latency and call-quality issues.
• Optimize system performance and support infrastructure scaling.
• Upgrade and improve the existing VoIP infrastructure.
• Create and maintain technical documentation covering call flows, routing, and integrations.
• Collaborate with cross-functional teams, including backend, support, and security.

Strong legal expertise. Strategic thinking. Real business impact.

At Softsich, we believe that a strong legal function does more than manage risks — it enables business growth, supports confident decisions, and builds a foundation for international expansion.

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms.

We are looking for an experienced Lead Legal Counsel to take ownership of legal operations, lead a legal team, and act as a trusted legal partner to business leadership.

This role combines strategic legal decision-making with hands-on expertise in commercial contracting, regulatory compliance, corporate governance, and legal operations. You'll have the opportunity to influence key business decisions, improve legal processes, and support sustainable international growth.

Your key responsibilities will include:

Legal Strategy & Risk Management:

• Own legal strategy execution, define contracting standards and risk appetite, and ensure effective legal support across assigned business areas.
• Identify, assess, and mitigate legal risks across business operations.
• Provide strategic and practical legal advice to senior management and cross-functional teams.

Commercial Contracts & Negotiations:

• Oversee drafting, reviewing, and negotiating commercial agreements with payment service providers (PSPs), vendors, and strategic partners.
• Develop and maintain contracting standards, templates, and approval workflows.
• Lead complex negotiations and ensure agreements balance commercial objectives with legal risk.

Regulatory & Corporate Legal Support:

• Oversee international corporate structuring, entity incorporation, and ongoing corporate governance.
• Ensure compliance with applicable laws and regulatory requirements across relevant jurisdictions.
• Coordinate with external legal advisors, regulatory authorities, and business partners on complex legal matters and escalations.

Legal Team Leadership & Operations:

• Lead, mentor, and develop the legal team, managing priorities, workload distribution, and performance.
• Establish and improve legal workflows, contract management systems, and internal policies.
• Drive proactive legal research, develop internal knowledge-sharing practices, and improve operational efficiency through measurable KPIs.

Employment & Business Legal Support:

• Oversee employment-related legal matters, HR policies, and sensitive employee cases.
• Manage legal disputes, claims, and escalations, including the development of dispute resolution strategies.
• Oversee legal review of marketing materials and business communications to ensure regulatory compliance.

It's a match if you have:

• 5+ years of relevant legal experience, with strong expertise in corporate and commercial law.
• Proven experience drafting, reviewing, and negotiating complex commercial agreements, including PSP, vendor, and partnership contracts.
• Practical experience in international corporate structuring, entity incorporation, and corporate governance.
• Strong understanding of regulatory compliance and legal risk management in international or regulated business environments.
• Knowledge of employment and HR legal matters, including employment agreements, contractor arrangements, and internal policies.
• Experience leading legal professionals, managing team performance, and coordinating legal workflows.
• Ability to develop and improve legal processes, contract management systems, and internal policies.
• Strong communication, negotiation, and stakeholder management skills, including interaction with senior leadership.
• Excellent analytical and decision-making skills, with the ability to balance legal risks and business objectives.
• Ability to independently manage complex legal matters, prioritize effectively, and take ownership of results.
• Bachelor's or Master's degree in Law.
• English — Upper-Intermediate or higher.

Nice to have:

• Experience working in financial services, payment processing, or other highly regulated digital industries.
• Experience managing external legal counsel across multiple jurisdictions.
• Qualified lawyer / attorney status.

What we offer:

• Flexible schedule and remote format or offices in Warsaw/Kyiv — you choose.
• 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).
• A supportive, friendly team where knowledge-sharing is part of the culture.
• Coverage for professional events and learning.
• Birthday greetings, team buildings, and warm human connection beyond work.
• Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Ready to turn complex legal challenges into clear, practical solutions?

Join Softsich and help build a legal function that supports business growth, empowers teams, and makes a real impact.

Send us your CV — we'd love to get to know you!

We work with international iGaming partners and help Gambling projects build and scale their VIP operations across Tier-1 markets.

We are currently expanding our team and looking for a VIP Team Lead with hands-on online casino experience and a strong understanding of the UK market.

In this role, you will take ownership of VIP operations across partner projects, lead a team of VIP Managers, develop high-value player strategies, and directly impact Retention, LTV, GGR and NGR.

Responsibilities

• Develop and scale VIP operations for online casino projects in the UK market.
• Lead a team of VIP Managers, including task allocation, player portfolio management, KPI tracking and team development.
• Build VIP strategies and player segmentation based on value, deposits, GGR / NGR, LTV and behaviour.
• Develop personalised retention, reactivation and win-back approaches for high-value players.
• Create and optimise individual offers, bonuses, cashback, free spins and loyalty benefits.
• Monitor key VIP metrics including Retention, Churn, LTV, Repeat Deposits, GGR, NGR, bonus cost and profitability.
• Analyse the VIP portfolio to identify churn risks and growth opportunities.
• Ensure a high standard of communication and service across the VIP team.
• Handle complex player requests, complaints and escalations.
• Work closely with CRM / Retention, Product, Payments, Support, KYC and Antifraud teams.
• Build team KPIs, reporting, SOPs and VIP service standards.
• Participate in hiring, onboarding and development of VIP Managers.
• Support the launch of VIP operations for new partner projects when required.

Requirements

• 2+ years of relevant experience in VIP / Retention within iGaming.
• Hands-on experience with online casino and high-value players.
• Previous experience as a VIP Team Lead, VIP Lead, Senior VIP Manager, VIP Manager or in a similar role.
• Hands-on experience working with VIP players in the UK market is required.
• Experience managing a VIP team.
• Strong understanding of LTV, Retention, Churn, Repeat Deposits, GGR, NGR, bonus cost and profitability.
• Experience with VIP segmentation and player portfolio management.
• Experience developing personalised offers, bonus mechanics and retention strategies.
• Good understanding of bonus economics and the commercial impact of VIP incentives.
• Strong analytical, leadership and communication skills.
• Experience working cross-functionally with CRM, Product, Payments, Support and Antifraud teams.
• Good understanding of Responsible Gambling principles.
• English sufficient for working with the UK market and international teams.

Nice to have

• Experience building a VIP function from scratch.
• Experience across other Tier-1 markets.
• Experience working across multiple Gambling projects.
• Experience with CRM automation and personalised VIP communications.

What we offer

• Work with Gambling projects across the UK and other Tier-1 markets.
• Exposure to multiple international partner projects rather than a single product.
• High ownership and direct impact on Retention, LTV, GGR and NGR.
• The opportunity to build VIP processes, KPIs and standards from the ground up.
• The opportunity to build and grow your own VIP team.
• Minimal bureaucracy and fast decision-making.
• Direct collaboration with key product and business teams.
• All necessary tools and resources to build a strong VIP function.

Job Description

• 5+ years of practical experience as a AQA Lead engineer with a strong focus on test automation
• Proven leadership abilities demonstrated through past roles and responsibilities
• Strong analytical and problem-solving abilities; able to identify root causes and propose effective solutions.
• Ability to work independent set up and maintain AQA processes and lead the team of up to 10 QA
• Capability of independently gathering information and defining issues on their own
• Solid knowledge of C#, .NET, and automation frameworks; ability to design scalable and reusable solutions
• Deep understanding of modern test automation patterns, standards, and algorithms
• Knowledge of Playwright will be a plus
• Strong working knowledge of API and microservices testing, including tools such as Postman, Swagger, ReadyAPI; Familiarity with
• RestSharp/HttpClient for REST API integration
• Solid understanding and hands-on experience of relational (SQL) and NoSQL (Cosmos DB) databases.
• Experience testing cloud-based and distributed systems, ideally on Azure (Azure Functions, AKS, Service Bus)
• Familiarity with front-end testing for modern frameworks such as React
• Exposure to D365 (Sales, Service, Power Apps) or willingness to quickly learn domain-specific testing approaches
• Understanding of data validation and testing pipelines (Databricks, dashboards, reference data management, ML-driven models)
• Experience with CI/CD pipelines (Azure DevOps, GitLab or similar) and containerized test execution in Kubernetes (AKS)
• Experience with task/bug tracking and creating/maintaining test documentation (bug reports, test designs, test cases, test reports)
• Analytical mind, problem-solving aptitude, excellent communication skills
• Upper-Intermediate English (spoken and written)
   

Job Responsibilities

Establish and maintain the processes within AQA teams.

Participate in the creation and maintenance of project-level QA artifacts
Design, implement, and maintain automation frameworks for cloud-native and distributed systems (C# stack, Azure environments)
Develop and maintain automated regression and integration test suites for APIs, microservices, and front-end applications
Ensure quality for event-driven systems (Service Bus) and serverless components (Azure Functions)
Plan and manage assigned testing activities, estimate automation efforts, and coordinate with team members to prioritize testing scope
 

Department/Project Description

GlobalLogic is searching for a motivated, results-driven, and innovative Lead AQA engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.

You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.

We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people's lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Key Responsibilities

• Utilize AI-driven design tools and generative platforms (Figma AI, v0, Midjourney, Galileo, Claude) to brainstorm, wireframe, and prototype UI concepts at unmatched speed.
• Translate business requirements and complex functional needs into intuitive, visually engaging UI/UX designs that simplify information and enhance user trust.
• Design, refine, and maintain scalable, multi-platform Design Systems and component libraries in Figma, maintaining style guides and ensuring seamless developer handoffs.
• Conduct user research, map out user flows, and perform usability testing to track UX metrics (e.g., task success, feature adoption) and validate design decisions.
• Collaborate closely with frontend developers to ensure accurate design implementation, maintaining consistency in design language across web and mobile platforms.
• Work with the product team to optimize user journeys, focusing on accessibility, micro-interactions, and visual engagement in an EdTech and learning environment.

Requirements

• 5+ years of proven experience as a UI/UX, Product, or Interaction Designer across web and mobile application platforms.
• Hands-on proficiency integrating AI workflows into daily design practices (generative image creation, AI-assisted wireframing, prompt-driven UI generation, and user journey synthesis).
• Mastery of design and prototyping tools, primarily Figma (Auto Layout, Variants, Variables, Design Systems, Interactive Prototyping) or Sketch/Adobe XD.
• Strong understanding of responsive design, accessibility standards (WCAG), and ethical design practices.
• Solid understanding of front-end capabilities (HTML5, CSS3/Tailwind, basic JavaScript/Vue/Nuxt) to ensure realistic, developer-friendly design handoffs.
• Strong portfolio demonstrating end-to-end UX research, wireframing, high-fidelity UI design, and design system engineering.
• Language: Full professional proficiency in English (B2+).

Nice-to-Have

• Strong portfolio demonstrating experience in educational platforms, SaaS, or video-based e-learning products.
• Experience creating web assets or interactive prototypes using Webflow, Framer, or low-code builders.
• Knowledge of visual design for paywalls, onboarding flows, and conversion rate optimization (CRO) mechanics.
• Experience designing for AI-native product interfaces (chat interfaces, prompt canvases, generative feedback states).

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

About the Role:
We are looking for an Operations Director to the client’s team.
The operations directorate will be built from scratch.
This is a senior build mandate. We are looking for an operator who has consolidated scattered operational functions into a managed directorate before, and who can do it in an organisation that has not previously had documented processes.
 

Responsibilities:
- Build and consolidate the service perimeter.
- Branch network: format, operating standards, cash discipline, limits, service speed.
- Cash logistics and transportation, resource availability across locations.
- Payment infrastructure: consolidation from business lines, legal and electronic rails.
- Customer support, customer experience and the contact centre.
- Define the target operating model for the directorate and build the management team under it.
- Create a single point of resolution for client requests, replacing the current sequential chain of approvals between units.
- Define service levels towards business lines and the commercial function: targets, measurement, impact on remuneration.
- Document and standardise core operational processes where none currently exist.
- Own cost per transaction and the operational cost base.
- Build the performance measurement system for service functions and the reporting behind it.
- Cascade group objectives into operational units.
- Arbitrate priorities between business lines and shared infrastructure.
- Operational readiness for entry into new markets.
- Automation of operational processes together with the product and technology functions.
- Build and develop the operations leadership bench.
 

Requirements:
Must have:
- 12+ years in operations, including 5+ years leading operations in an organisation of 500+ employees.
- Built an operations function from a low base — not inherited a mature one.
- Consolidated operational functions out of business units into a shared directorate, including managing the political resistance that comes with it.
- Managed a distributed network: branches, service points or regional operations.
- Implemented service levels and performance metrics for internal service functions.
- Documented and standardised processes in an environment where none existed.
- Owned operational cost and unit economics of transactions.
- Working English.
 

Nice to have:
- Financial services, banking, payments or a retail network with cash operations.
- Experience with cash handling, cash logistics and custody of valuables.
- Operational support of expansion into new jurisdictions.
- Process automation and systems implementation experience.
 

What the client offers:
- A directorate to design and build from the ground up.
- Direct reporting line to the CEO and a seat at the management committee.
- Full authority over the service perimeter and the mandate to consolidate it.
- A visible, measurable problem to solve with clear commercial impact.

We are looking for a Head of Engineering / CTO with strong engineering experience, product vision, and practical AI expertise to join our client’s team and lead the technical development of their in-production cybersecurity platform.

What Matters to Us

• Hands-on Technical Leadership. You can lead and mentor a team while staying close to the architecture and code. You know how to evolve a live, paying product without breaking production.
• Agentic Development Culture. You actively use and champion AI coding agents and automation workflows. You know how to equip a lean team with AI tools so we can ship at the speed of a much larger organization.
• Fast Product Experimentation. You connect technology to business metrics. You know how to quickly test hypotheses, roll out lean features to real users, measure impact, and iterate fast.
• Applied AI Engineering. You have practical experience building production features with LLMs, AI agents, and automation—balancing output quality, latency, token unit economics, and strict data privacy.
• System & Stack Proficiency. Solid background in JS/TS, Python, modern databases, cloud infrastructure, and enterprise integrations (M365, Google Workspace, SSO/SCIM). You know when to build custom solutions vs. use ready-made services or low-code.
• Security & Enterprise Trust. Selling a cybersecurity product requires a rock-solid platform. You understand multi-tenant data isolation, Zero-Trust principles, and compliance standards (SOC 2, ISO 27001, GDPR, EU AI Act).
• Broad Ownership. In a lean team, you wear multiple hats—comfortably switching between system architecture, DevOps/cloud costs, enterprise security calls with clients, and day-to-day delivery.

Your Focus

• Velocity & Agentic Workflows: Maintaining an AI-first engineering process that maximizes the speed and quality of our lean team.
• Product Experiments & AI Features: Building and testing new AI-driven simulations, coaching workflows, and risk analytics to drive revenue growth.
• Architecture & Reliability: Keeping our production platform secure, scalable, and cost-efficient as our customer base grows.
• Business & Enterprise Support: Partnering with founders on product strategy, roadmap, and technical due diligence with enterprise customers.

Nice to Have

• Experience in Cybersecurity, B2B SaaS, or EdTech / Security Awareness.
• Track record of scaling a post-revenue product with a small team.
• Experience passing SOC 2 / ISO 27001 audits or enterprise CISO security reviews.
• Your own founder or startup background.

What We Offer

• Mature Product, Zero Bureaucracy: Work on a live, profitable product with real customers and fast decision-making.
• Strategic Influence: Direct partnership with the founders and full ownership of the technical and AI vision.
• Remote & Flexible: Full-time or part-time/fractional engagement in a fully remote format.
• Individual Terms: We will tailor the collaboration format, compensation, and potential equity/bonuses to fit your goals. We are open to your proposals.

A large-scale consumer mobile application with millions of active users required a robust testing strategy to ensure stability, performance, and seamless user experience. Testing efforts focused on both iOS and Android platforms, covering functional validation, UI/UX consistency, geolocation features, and real-time interactions.

Responsibilities

• Contribute as a key member of a world-class Android Engineering and QA Automation team.
• Design, implement, and maintain automated test cases and frameworks in Kotlin, JUnit, Espresso.
• Own the quality lifecycle: identify issues, file and track bugs in Qase(or similar systems), and drive them to resolution.
• Collaborate closely with Android engineers to ensure application code is testable and automation-friendly.
• Build and maintain in-house tools for test parallelization, network mocking, and custom reporting.
• Perform peer code reviews, ensuring robust test coverage and reliable CI pipelines.
• Drive improvements to the CI/CD ecosystem, ensuring scalability, maintainability, and speed of test execution.
• Explore and integrate AI-assisted development approaches to enhance test generation, workflow optimization, and CI/CD practices.
• Actively participate in Agile ceremonies – daily standups, sprint planning, retrospectives, and showcases.

Skills Required

• 2+ years of experience as an SDET, QA Automation Engineer, or related role, with a strong focus on Android application testing.
• Proficient in Kotlin and the Android SDK, with strong debugging and troubleshooting skills.
• Hands-on experience with JUnit, Espresso and UI automation.
• Experience with dependency injection frameworks (Dagger/Hilt) and API testing using Retrofit.
• Familiarity with Jetpack libraries and modern Android development best practices.
• Strong experience with Git/GitHub, familiar with both Gitflow and trunk-based development.
• Knowledge of SOLID principles and ability to apply them in test framework design.
• Ability to apply or readiness to adopt AI-driven testing practices, including test generation and workflow automation.
• Strong English communication skills

About the Role & Team
We are seeking a Forward-Deployed AI Architect to help our enterprise customers radically accelerate and modernize their software delivery lifecycle. In this elite, high-impact role, you will embed directly with customer engineering teams to prove the value of AI-led engineering through hands-on architecture, agentic workflows, and measurable delivery outcomes.
This role is designed for senior architects and builders who sit at the intersection of core enterprise software architecture and cutting-edge AI engineering. You will help customers transition from traditional, ticket-bound Scrum cycles toward intent-driven, increasingly autonomous delivery models where AI tools, agents, and human governance seamlessly turn business intent into production-ready software.


Candidate Profile: Qualifications & Experience
Must-Have Attributes
- Experience: 15+ years of proven experience across software engineering, architecture, product/platform engineering, or solution architecture, backed by a strong track record of product-side delivery.
- SDLC Mastery: Deep, foundational understanding of enterprise software architecture, DevSecOps pipelines, Agile/Scrum frameworks, and the broader product lifecycle.
- Hands-on AI Fluency: Direct, practical fluency with AI development tools, IDE-based AI assistants, agentic workflows, and AI-enabled software delivery. You must possess the ability to build, evaluate, and deeply explain working AI solutions.
- Modern AI Tech Stack: Experience leveraging tools and frameworks such as Claude Code, Cursor, Windsurf, GitHub Copilot, LangChain, AutoGen, LlamaIndex, Semantic Kernel, MCP (Model Context Protocol), RAG, and vector databases.
- Hands on in Retrieval Augmented Generation (RAG), Vector Databases, Evaluation Frameworks, Prompt Engineering, Tool Calling, Function Calling, Multi-agent orchestration, AI Observability

Good-to-Have Skills
- Customer-Facing Excellence: Prior experience in high-touch, customer-facing technical roles (e.g., Forward-Deployed Engineer, Principal Solutions Architect, Field Engineer, or Pre-Sales Engineering Leader).
- AI Governance & Security: A strong grasp of AI governance models, human-in-the-loop controls, responsible AI frameworks, observability, and production readiness for AI-enabled enterprise systems.

Job Responsibilities

Key Responsibilities
1. Client Engagement & Strategic Architecture

- Identify AI Opportunities: Work directly with customer engineering, product, architecture, and executive teams to diagnose SDLC bottlenecks and map out high-value areas for AI-led acceleration.
- Design & Build Proofs of Concept: Act as a hands-on builder to design, develop, and deliver working proofs utilizing modern AI engineering tools, agentic workflows, and automation frameworks.
- Lead the Intent-Driven Transition: Guide clients away from rigid, manual sprint mechanics toward fluid, intent-driven delivery loops capable of autonomously generating plans, code, tests, documentation, and validation artifacts.

2. Value Measurement & Executive Alignment

- Quantify AI Impact: Define, measure, and report on hard engineering acceleration outcomes, including reduced cycle times, faster story-to-code conversion, improved automated testing, and accelerated code reviews.
- Technical & Executive Presentation: Communicate complex technical approaches, agentic architectures, proof results, and long-term adoption strategies to both engineering teams and C-level stakeholders.

We are looking for an experienced Founding Sales Development Representative (SDR) to build and scale an outbound sales function from the ground up.

Our client specializes in AI engineering, intelligent automation, AI agents, and custom AI solutions, helping businesses leverage AI to improve their operations and solve complex business challenges.

As the first dedicated outbound sales professional, you'll work directly with the founder and a highly skilled technical team to establish a predictable pipeline of qualified B2B opportunities across international markets, including the US, UK, and Europe.

This is more than a traditional SDR role. You'll have the freedom to build the outbound process, experiment with new approaches, select and implement tools, and use AI-powered automation to make prospecting more efficient.

We're looking for someone who combines strong outbound sales skills with a data-driven mindset, enjoys working independently, and knows how to turn a sales strategy into a repeatable process.

If you're proactive, analytical, and excited about the intersection of AI and B2B sales, this could be an excellent opportunity to make a meaningful impact.

Responsibilities

• Build and optimize the outbound sales process from scratch, creating repeatable workflows for prospecting, outreach, qualification, and follow-up.
• Plan and execute multichannel outbound campaigns through LinkedIn and cold email, including structured, multi-step outreach sequences.
• Research and identify ideal customer profiles, target industries, relevant companies, and key decision-makers.
• Build and manage qualified prospect lists using LinkedIn Sales Navigator, Apollo, Clay, and similar tools.
• Identify buying signals, including company funding, hiring activity, business expansion, entry into new markets, and product launches.
• Write compelling cold emails, LinkedIn messages, outreach sequences, and calls to action tailored to different audiences and business needs.
• Manage and maintain Pipedrive CRM, ensuring accurate pipeline stages, activity records, follow-ups, and next steps.
• Use AI tools to improve prospect research, personalize outreach, automate repetitive tasks, and increase sales productivity.
• Run A/B tests on messaging, offers, subject lines, and outreach strategies to improve response rates and conversion.
• Qualify prospects based on their business challenges, existing solutions, budget, decision-making process, and purchasing timeline.
• Book qualified meetings and provide the sales team with clear prospect briefs, including relevant research, identified pain points, and potential opportunities.
• Follow up consistently with prospects and re-engage leads whose purchasing decisions have been postponed.
• Track key sales metrics, monitor funnel performance, and provide regular reporting on outreach activity, conversion rates, and qualified opportunities.
• Continuously identify opportunities to improve sales processes, automation workflows, and campaign performance.

• Collaborate directly with the founder on go-to-market strategy, positioning, target markets, and pipeline development.

   

Requirements

• 3+ years of experience in B2B sales, sales development, business development, or outbound lead generation.
• Proven experience executing outbound sales campaigns through LinkedIn and cold email.
• Strong copywriting skills, with the ability to create personalized, persuasive outreach messages that generate responses.
• Hands-on experience with prospecting and sales tools such as LinkedIn Sales Navigator, Apollo, Clay, Pipedrive, Closely, or similar platforms.
• Experience managing multistep outreach sequences and maintaining an organized CRM pipeline.
• Understanding of sales funnel metrics, KPIs, conversion rates, and data-driven campaign optimization.
• Comfortable using AI tools such as ChatGPT, Claude, or similar solutions for prospect research, personalization, and productivity.
• Ability to independently research target markets, identify relevant prospects, and build qualified lead lists.
• Experience communicating with international B2B clients, ideally in the US, UK, and European markets.
• Upper-intermediate English or higher, with strong written communication skills and the ability to communicate confidently in a professional environment.
• A proactive, analytical, and results-oriented mindset, with the ability to take ownership of tasks and work independently.

• Willingness to experiment, test new approaches, and continuously improve outbound performance.

   

Nice to have

• Experience selling AI services, AI agents, intelligent automation, or custom AI engineering solutions.
• Familiarity with enterprise AI, document intelligence, Voice AI, or AI-powered business automation.
• Experience working with AI development companies, IT service providers, or B2B technology consultancies.
• Experience building an outbound sales function or significantly improving an existing prospecting process.
• Knowledge of AI-powered sales automation and workflow tools such as n8n, Make, or Zapier.
• Experience with advanced prospect research, buying-intent signals, and lead enrichment using Clay or similar platforms.
• Familiarity with email deliverability, outreach personalization, campaign segmentation, and sales experimentation.
• Experience developing outbound strategies for new markets or customer segments.

• Strong interest in AI technologies and their practical applications in business.

   

What You'll Get

• The opportunity to build from scratch. Design and establish the company's first structured outbound sales function without legacy processes or unnecessary bureaucracy.
• Direct collaboration with the founder. Contribute to go-to-market strategy, discuss ideas directly with decision-makers, and see the impact of your work.
• Freedom and autonomy. Take ownership of your campaigns, experiment with new approaches, and develop processes that work.
• AI-driven sales innovation. Explore how AI tools and automation can improve prospecting, personalization, and sales productivity.
• A skilled technical team. Work alongside experienced professionals developing AI engineering and automation solutions for business clients.
• International market exposure. Help develop business opportunities across the US, UK, and European markets.
• Performance-based earning potential. Compensation includes a base component and performance-based incentives tied to sales development results.

• Room for professional growth. Develop your expertise in outbound strategy, AI-powered sales automation, and go-to-market execution, with the potential to grow into a broader sales leadership role as the function expands.

   

Who Will Thrive in This Role

This role is ideal for an independent, data-driven outbound sales professional with a builder mentality.

You're comfortable taking an idea and turning it into an actionable process. You know how to research prospects, write outreach that resonates, analyze campaign performance, and improve results based on data rather than guesswork.

You don't need a fully developed sales playbook or constant supervision. Instead, you enjoy finding better ways to work, experimenting with new tools, and taking ownership of your results.

You're also curious about AI and eager to explore how emerging technologies can make sales processes smarter, more efficient, and more scalable.

You'll work closely with the founder, have the freedom to shape the outbound strategy, and play a key role in establishing the company's sales foundation.
 

If you're ready to build an outbound sales engine from the ground up and help bring AI-powered solutions to businesses worldwide, we'd love to hear from you!

Core Responsibilities
* Launching and managing advertising campaigns across multiple traffic sources (Meta/Facebook Ads, Google UAC, Unity Ads, Moloco, Taboola and other native ad networks).
* Daily campaign optimization to achieve target KPIs (ROI, CPA, EPC, uEPC, CR, LTV).
* Performance analysis and decision-making based on data.
* Creating testing plans and running A/B tests for creatives, audiences, placements and bidding strategies.
* Finding profitable combinations of GEO / Offer / Creative / Audience / Traffic Source.
* Scaling profitable campaigns while maintaining target profitability.
* Monitoring traffic quality and compliance with platform and partner requirements.
* Preparing daily/weekly reports.
* Following internal processes, security policies and confidentiality requirements.
⸻
Requirements
* 2+ years of experience as a Media Buyer / User Acquisition Manager.
* Experience with one or more traffic sources:
   * Meta (Facebook) Ads
   * Google UAC
   * Unity Ads
   * Moloco
   * Taboola
   * Other Native Ad Networks
* Strong understanding of performance marketing metrics:
   * ROI
   * CPA
   * EPC
   * uEPC
   * CTR
   * CR
   * CPC
   * CPI
   * LTV
* Experience launching and scaling mobile applications and link.
* Strong analytical skills and data-driven decision making.
* Experience with tracking platforms (Keitaro).
* Experience with A/B testing.
* Ability to evaluate and improve creative performance.
* Self-driven, responsible and result-oriented.
⸻
Nice to Have
* Experience in Dating vertical.
* Experience with Android/iOS apps.
* Experience with affiliate marketing.
* Experience working with white/black lists.
* Experience with automated bidding strategies.

AI Agents for Industrial Equipment Maintenance and Management. An AI-based agentic platform for field service engineers who perform maintenance, equipment tuning, and setup of industrial tools (semiconductor manufacturing). The solution covers predictive maintenance, inventory management automation, work schedule management, workforce allocation, and AI-assisted execution guidance — powered by multiple collaborating LLM agents (Copilot Agent, Maintenance Execution Agent, Maintenance Planner Agent, Workforce Allocation Agent).
The QA team operates in a high-velocity environment using cutting-edge AI-assisted development workflows (custom Antigravity workflows, slash-command automation, MCP-based database tooling, LLM evaluation frameworks). This role is designed for highly driven, ambitious professionals who thrive in fast-paced, technically complex environments.

We are looking for a sharp, detail-oriented Mid QA Engineer to join our team working on an Agentic AI Maintenance Platform. Your primary focus will be manual validation of features, thorough exploratory testing, and clear defect reporting — while building the foundation to contribute to automation over time.
This is a fast-paced, cutting-edge project where AI coding assistants are part of the daily toolkit. You'll be expected to learn fast, think critically, and take ownership of the quality of features you validate.




Job Description

• 4+ years of experience in Software Quality Assurance, with 2+ years testing complex backend systems, integration platforms or AI/ML-driven applications.
• Expertise in Python or a similar language for deep automation and scripting.
• Proficiency in API testing and validating data persistence/audit logs in a database environment.
• Proven ability to define and drive a QA strategy from scratch, turning high-level requirements (functional & non-functional) into clear, executable, and automated test plans.
• Prior experience setting up QA for a containerized (Docker/Kubernetes) environment.
• Conceptual understanding of LLM application development, agentic frameworks and principals of testing complex AI systems
• Experience working in industrial, manufacturing or operations technology domains
• Experience in operational liability, such as managing SLA and handling system downtimes.
• Written and spoken English language proficiency (equivalent of B2 or higher)

Job Responsibilities

• Manual test execution — validate "Ready for QA" tasks by executing test cases against the live QA environment, following established test steps and expected results.
• Test design — write clear, structured test cases with well-defined steps and expected results; identify edge cases and negative scenarios during test planning.
• UI testing — perform functional, responsiveness, and cross-browser testing of the Command Center web application (Dashboard, Planning Hub, Admin, Schedule, Inventory pages).
• Exploratory testing — go beyond scripted test cases to discover edge cases, usability issues, and integration defects across the multi-agent platform.
• Defect reporting — create detailed, reproducible bug reports in Jira with screenshots, steps-to-reproduce, expected vs. actual behavior, and severity classification.
• Database verification — use SQL queries to validate data persistence, verify backend state after UI actions, and support data integrity checks.
• Test case management — maintain and update the master test case CSV registry following the established schema; ensure proper categorization, Jira linking, and test result tracking.
• AI tool usage — use AI coding assistants to accelerate test case writing, defect triage, and exploratory analysis; gradually learn prompt engineering techniques relevant to the project.
• Requirements clarification — review incoming stories and requirements, identify gaps or ambiguities, and work with the team to clarify acceptance criteria before testing begins.
• Automation potential — identify manual tests suitable for automation and, over time, contribute basic pytest test implementations with guidance from senior QA.

DOIT Software is looking for an AI/ML Engineer to join the engineering team of a B2B SaaS product company and build machine learning and AI features into its platform.

About the Client

Our client is a SaaS product company working in analyst relations (AR) and B2B influencer relations. Its platform helps technology vendors and B2B companies manage, track, and measure their relationships with industry analysts who influence buyers in the market.

The product combines a specialized CRM with a searchable database of analysts and influencers, analytics and reporting dashboards (share of voice, sentiment, competitive intelligence), and an analyst-facing self-service portal.

About the Role

You will design Python-based models and services, integrate large language models (Anthropic’s Claude), and ship them alongside the client’s software engineering team.

The platform runs on Angular, C# (.NET), SQL Server and MongoDB. You will not be the primary developer on that stack, but you will work in it daily: pulling data from it, exposing your models to it through APIs, and pairing with engineers to get AI features into production.

You will report to the VP of Engineering. This is a full-time, fully remote position that requires at least 3-4 hours of daily overlap with US Eastern Time for standups and pairing.

What You’ll Do

Machine learning and data science

• Design, train, evaluate and deploy ML models for classification, clustering, recommendation, NLP and forecasting use cases.
• Explore, clean and engineer features from product data stored in SQL Server and MongoDB.
• Define metrics, run experiments and report results clearly to engineering and product stakeholders.
• Monitor models in production for drift, accuracy and cost, and retrain as needed.

AI and Claude integration

• Build LLM-powered features using the Claude API: prompt design, tool use, structured outputs and retrieval-augmented generation (RAG).
• Develop evaluation sets and automated tests to measure LLM output quality, accuracy and safety.
• Optimize LLM usage for latency and cost (prompt caching, model selection, batching).
• Use AI coding assistants such as Claude Code to speed up your own development work.

Working with the product engineering team

• Package models and AI logic as Python services and REST APIs that the C# (.NET) backend calls.
• Work with Angular developers to shape how AI features appear and behave in the UI.
• Write efficient SQL Server queries and MongoDB aggregations, and help design schemas for the data that ML features need.
• Take part in code reviews, sprint planning and standups, following the team’s Git, CI/CD and testing practices.
• Document models, data pipelines and APIs so other engineers can support them.

Required Qualifications

• 3–5 years of professional experience in data science, ML engineering or a similar role.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or a related field, or equivalent experience.
• Strong Python skills, including pandas, NumPy and scikit-learn.
• Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow).
• Solid understanding of ML fundamentals: supervised and unsupervised learning, feature engineering, model evaluation and avoiding overfitting.
• Practical experience building with LLM APIs, ideally Anthropic Claude: prompt engineering, tool use, RAG and output evaluation.
• Experience building and consuming REST APIs in Python (FastAPI or Flask).
• Working knowledge of SQL (SQL Server preferred) and a NoSQL document database (MongoDB preferred).
• Comfortable with Git, code reviews and Agile/Scrum workflows.
• Clear written and spoken English (Upper-Intermediate or higher) for daily collaboration with a distributed team.
• Proactive written communication: status updates, clear questions and documented decisions.
• Ownership of features from prototype to production, not just notebooks.
• Curiosity about new AI capabilities and the judgment to know when a simpler approach is better.

Nice to Have

• Experience with vector databases or embedding search (e.g., MongoDB Atlas Vector Search, pgvector, Pinecone).
• Familiarity with agent frameworks, the Model Context Protocol (MCP) or the Claude Agent SDK.
• Reading-level familiarity with C# / .NET and Angular / TypeScript, enough to trace how your services are called.
• MLOps experience: Docker, CI/CD pipelines, model versioning (MLflow or similar) and cloud deployment (Azure or AWS).
• Prior work on a multi-tenant B2B SaaS product.
• NLP work on unstructured business text such as documents, emails or research content.
• Understanding of data privacy and security practices for customer data used in AI features.

Recruitment Process

1. Pre-screen call with a Recruitment Manager.
2. Technical interview with DOIT Software.
3. Online call with the client.