Jobs at Djinni

About Us

We're hiring on behalf of our partner — a company that powers the operations behind regulated and high-risk industries. 

They give fast-moving businesses in these spaces the structure, compliance and talent they need to scale — without slowing down. 

About the Role

You'll be the central legal contact for clients, external advisers, regulators and internal teams. You'll also help build the company's Legal & Licensing Department from the ground up.

Core Responsibilities

1. Licensing & Regulatory Project Delivery

• Manage each legal and licensing project from preparation to approval, covering MSB, MiCA, EMI, PSP, FSP and similar regimes across several jurisdictions.
• Coordinate external lawyers, regulatory consultants, corporate service providers and clients. Communicate directly with regulators on current and upcoming cases.
• Review and oversee applications, legal opinions, AML/KYC policies, compliance materials and supporting documents, including their ongoing maintenance.
• Track deadlines and requirements, identify gaps and lead responses to regulator questions.
• Diagnose stalled applications, find what's missing and resolve anything likely to cause delays.
• Handle regulatory and operational issues with banks and authorities, including payment restrictions and stuck funds.
• Work with client and internal IT teams on technical, security and infrastructure requirements.
• Monitor global regulatory changes and turn them into clear, actionable guidance for clients and internal teams.

2. Department Build-Out & Leadership

• Set up and structure the Legal & Licensing Department.
• Recruit, train and supervise a junior legal associate.
• Develop scalable internal procedures, templates and project-tracking systems.
• Align legal and regulatory priorities with client needs, working with other internal teams.

3. Corporate & Contract Support

• Draft, review and negotiate service, partnership and vendor agreements and other commercial documents.
• Draft and manage contracts for larger e-commerce and corporate clients.
• Support international incorporations, corporate structuring and ongoing entity management. This includes managing global incorporations, working with local incorporators and acting as master agent to secure the best terms and rates.
• Provide corporate legal support for new ventures, structures and continuing client relationships.
• Maintain oversight of global entities and their compliance documentation.
• Ensure all policies, structures and documents meet the relevant regulatory standards.

Candidate Profile

Essential

• A law degree or related field.
• At least 3 years of experience (ideally 3–5+) in financial regulation, fintech, payments, crypto or regulatory consultancy.
• Hands-on experience managing licensing or registration projects (MSB, MiCA, EMI, PSP, VASP, CASP). Our partner wants candidates who have run applications, not only advised on them.
• Strong knowledge of AML/KYC and financial regulatory requirements.
• A proven record in contract drafting, corporate structuring and international incorporation management.
• A basic understanding of international tax and holding-entity structuring, or the ability to build that knowledge quickly.
• Excellent written and spoken English, with clear communication toward regulators, clients and international stakeholders.
• A strategic, commercial mindset that treats licensing as a driver of client growth, not a compliance checkbox.
• Strong project management skills and the ability to run multiple international projects independently without losing detail.
• Comfort with high autonomy and ownership. You'll build a department rather than follow an existing process, and you'll treat every case and client relationship as a reflection of your own work.

What the Role Offers

• Ownership of live international licensing projects (MiCA, EMI, MSB and more) with real regulatory exposure.
• Work across multiple regulatory frameworks with global clients and regulators.
• Leadership of a newly created department, with significant autonomy and direct impact. You'll build the process rather than inherit one.
• A place in a fast-growing international consultancy, where your scope expands as the department grows.

About the Role

We're a healthcare technology company building a SaaS platform used by healthcare organizations across the U.S. Our engineering organization has grown, and we're ready for a hands-on leader to take the whole technical function — Frontend, Backend, DevOps, Mobile, and QA — to the next level.

This isn't a maintenance role. We're bringing in a Head of Engineering to solve four specific problems: get us to fully AI-driven development instead of trial-and-error, fix performance issues that have resisted repeated page rewrites, own technical conversations directly with customers, and lead a growing team well.

What You'll Do

Move us to AI-driven development. Lead the shift from ad hoc, trial-and-error use of AI coding tools to a systematic, largely AI-driven development workflow across the team — with repeatable practices, tooling, and guardrails, not one-off experimentation.

Build AI-driven QA automation. Apply the same discipline to testing: design and roll out AI-driven test automation to raise QA coverage and speed, in place of today's manual-heavy process.

Fix performance at the root. Diagnose and permanently resolve the page-performance issues that repeated rewrites haven't solved. Own DevOps and infrastructure decisions that address root causes rather than patching symptoms page by page.

Own technical customer conversations. Work directly with customers to gather and clarify requirements, and communicate trade-offs, scope, and timelines clearly to customers and internal stakeholders alike.

Lead and grow the team. Manage and develop a multidisciplinary engineering organization, including team leads, hiring, and performance management as the team scales.

What We're Looking For

• Proven, hands-on experience leading a team through an actual shift to AI-driven software development — not just personal use of AI tools. You can point to concrete before/after results (velocity, defect rates, cycle time).
• Experience building or scaling AI-driven QA/test automation.
• A strong DevOps and performance-engineering background, with a track record of diagnosing and permanently fixing recurring application performance issues rather than patching symptoms.
• Prior experience managing multi-discipline engineering teams (frontend, backend, mobile, QA) of 10+ people, including managing team leads/managers.
• Excellent written and verbal communication skills; comfortable working directly with customers on requirements and translating between technical and non-technical stakeholders.
• 8+ years in software engineering, with at least 3 in an engineering leadership role.

Nice to Have

• Experience with U.S. healthcare software — ideally involving CMS programs, EHR/EMR integrations, or HIPAA compliance.
• Experience scaling an engineering org in a startup or scale-up environment.
• Still hands-on enough to review architecture and code when it matters, not purely a people manager.

The Team

You'll lead a growing, multidisciplinary engineering team spanning frontend, backend, QA, mobile, and business analysis.

You'll report directly to company leadership.

Tech Stack

• Backend: PHP (Symfony), microservices
• Frontend: React, TypeScript
• Data & messaging: MySQL/PostgreSQL, Redis, message queues
• Infrastructure: AWS, Docker, container orchestration, CI/CD
• Observability: Sentry, centralized logging

Compensation & Location

• Location: Fully remote — open to candidates anywhere.
• Compensation: Competitive, based on experience.
• Type: Full-time.

We are a fully remote data analytics and BI agency, currently looking for a Data Engineer to build Python and PostgreSQL pipelines for client projects on Google Cloud Platform and Azure.

Read this part carefully: this is a part-time, project-based role with no guaranteed hours. You join our roster of specialists, and when data engineering work comes in, we assign it to you. Some months are busy, some are quiet. If you need a steady income from one employer, this role is not a good fit.

What you will do:
●Write production Python code for ETL / ELT pipelines
●Design PostgreSQL databases and tune them: schemas, indexes, query speed
●Build pipelines on Google Cloud Platform (BigQuery) or Azure, depending on the client
●Set up incremental loads, scheduling, logging, alerts, and backfills
●Prepare clean tables for Power BI and Looker Studio reports
●Write automated tests for Python pipelines
●Document pipelines, tables, and design decisions

Required Skills:
●Strong Python for data engineering: API calls, file processing, database connections, pandas
●PostgreSQL and SQL: schema design, indexing, query optimization
●Google Cloud Platform (BigQuery) or Azure (Azure SQL)
●Building ETL / ELT pipelines end-to-end, from source extraction to scheduled loads
●Incremental loads and handling schema changes in source data
●Data quality checks and pipeline troubleshooting
●Git / version control
●Clear documentation
●English skills (B1-B2), both written & spoken

Important! You must be able to showcase 2-4 past projects - ideally Python pipelines, PostgreSQL databases, or cloud data platforms you've built end-to-end. Be ready to walk us through the architecture, your Python and PostgreSQL design decisions, and the challenges you solved.

We are looking for an experienced Principal AI Engineer to lead the architecture, technical strategy, and evolution of enterprise-scale AI platforms and GenAI-powered solutions. The role requires strong hands-on experience with production AI systems, RAG, AI orchestration, distributed platforms, and AI engineering standards.

Responsibilities

• Define and own the architecture of enterprise-scale AI platforms
• Design and develop production-grade GenAI systems and AI-powered solutions
• Lead the development of RAG pipelines, retrieval infrastructure, and AI orchestration frameworks
• Design scalable distributed systems, APIs, data pipelines, and event-driven architectures
• Establish standards for AI quality, evaluation, observability, governance, and model lifecycle management
• Define and scale AI-driven software-development practices, including tools, guardrails, and automation patterns
• Drive architecture decisions and technical alignment across multiple engineering teams
• Build reusable AI platform components, frameworks, and internal tooling
• Conduct architecture and code reviews and mentor senior and Staff-level engineers
• Collaborate with product, data, security, infrastructure, and engineering teams
• Document architectural decisions, technical standards, and organizational best practices

• Lead technical initiatives across distributed international teams

   

Requirements

• 12+ years of professional software-engineering experience
• Significant experience working at Staff or Principal Engineer level
• Strong hands-on experience building and deploying production-grade GenAI / LLM systems
• Expert-level Python engineering skills
• Strong experience with LLM applications, RAG, vector databases, and retrieval infrastructure
• Experience with LangChain, LlamaIndex, semantic search, or similar AI frameworks
• Strong understanding of AI evaluation, model lifecycle management, observability, and MLOps
• Proven experience designing and evolving large-scale distributed systems
• Strong knowledge of APIs, data pipelines, event-driven systems, and high-scale platforms
• Experience driving architecture and platform initiatives across multiple teams
• Hands-on experience with AI-assisted development tools such as Copilot, Claude Code, or Cursor
• Strong engineering fundamentals in code quality, testing, CI/CD, and observability
• Ability to influence technical decisions and drive alignment without formal authority
• Experience collaborating with distributed teams across different regions and time zones

• Professional English, Upper-Intermediate or higher

   

Nice to have

• Experience building enterprise AI platforms or internal AI developer platforms
• Experience with Kubernetes, cloud platforms, and infrastructure automation
• Experience with MLOps platforms and model monitoring
• Experience with event-driven architectures and large-scale data processing
• Experience establishing AI governance and engineering standards across organizations
• Experience working with distributed teams across the US, China, and LATAM
• Experience in enterprise SaaS, FinTech, healthcare, or other complex domains

We’re looking for an experienced developer to build an AI assistant that users can interact with through text messaging. The assistant will connect to our existing database, answer questions using our information, handle follow-up questions, and send personalized news updates based on users’ interests.

The experience we’re aiming for is similar to texting an assistant like Instinct or Muse, with a focused scope: answering questions using our existing database and delivering personalized news updates.
 

You’ll take ownership of the technical setup, integrations, and development, working with our team to launch an initial version. Our target is a working pilot within approximately one month, with the scope finalized together.
 

You should have strong Python/Django experience and hands-on experience integrating AI models, APIs, and databases. Experience with Twilio or similar messaging platforms is important, along with building secure account access, subscription permissions, and scheduled notifications.
 

We’re looking for someone who has built and launched practical AI applications and can make sound technical decisions, communicate clearly, and identify potential issues early. Accuracy is essential: the assistant needs to retrieve reliable information from our data and handle unclear questions appropriately.
 

When applying, please share examples of relevant applications you’ve built, explain your specific role, and describe the tools you used. Please also include your availability over the next month and your hourly rate or estimated project budget.

Responsibilities

• Design, implement, and manage cloud infrastructure: Azure (AWS is a plus).
• Build and maintain docker swarm servers, Azure and AWS services.
• Develop Infrastructure as Code (IaC) solutions using Terraform (CloudFormation is a plus).
• CI/CD pipelines: Azure DevOps, Bitbucket pipelines, GitHub Actions.
• Monitoring and alerting solutions: ELKEFK stacks, Grafana, Prometheus.
• Collaborate with development teams on automation, deployment, and infrastructure needs.
• Responsible for IT services in the company

Requirements

• Understanding of DevOps principles, culture and CI/CD pipelines.
• Knowledge of Docker Compose, Docker Swarm (Kubernetes is a plus).
• Proven expertise with Azure (App Service, VM, Storage, Office365).
• Experience with database administration and monitoring: PostgreSQL, MS SQL
• Experience with web servers and load balancers: Nginx, Apache, Traefik; cloud load balancers
• Working experience 3+ years in servers’ administration based on Windows, Linux
• Experience with monitoring systems: Grafana, Prometheus, EFK/ELK stack.
• Version control skills (AzureDevOps, Bitbucket, GitHub).
• Knowledge and experience with TCP/IP, VPN, a configuration of Firewall
• Experience in troubleshooting and performance tuning
• Ability to document processes and decisions

We Offer

• Competitive salary
• Flexible schedule
• Social package
• Courses, webinars, and seminars to increase professional skills
• Possibility to work remotely and onsite
• Horizontal hierarchy. No micromanagement pressure
• Open company culture where your ideas and initiatives are valued
• Regular team building & corporate events
• International projects

Are you energized by walking into a client’s operation, finding the workflow that’s actually holding them back, and rebuilding it so AI handles the parts that don’t need a person? At Sigma Software, we don’t just add AI on top of existing processes  we redesign how the work gets done, with AI built into the operating logic from day one.

We’re looking for a Forward AI Deployment Engineer to own that redesign end to end: embedded with the client, hands-on with whatever automation the workflow actually needs, and accountable for turning a real operational problem into something running in production not a demo, not a pilot. Each engagement is built to leave something behind for the next one patterns, infrastructure, governance that already held up in production  so the second engagement doesn’t start from zero, and the tenth looks nothing like the first.

Requirements

• Proven experience taking AI systems from prototype to production inside a real operating environment, not just in a lab or sandbox
• You treat LLM/RAG architectures, agentic systems, cloud platforms, and data pipelines as tools for redesigning how work gets done, not as the deliverable — and you’re strong and current enough with all of them to actually use them that way
• Comfort mapping decision logic that’s partly undocumented, and judgment about where automation should stop and human accountability should start
• Excellent communication and stakeholder management — able to advise a client directly and escalate without being asked

• BFSI domain experience is a must-have: Proven commercial experience delivering solutions for Banking, Financial Services, or Insurance, including understanding business processes, identifying operational challenges, and implementing technology solutions tailored to the domain

   

  Responsibilities

   

• Embed directly with the client’s operational team to find the workflow that’s actually costing them time, quality, or money before recommending any tooling.
• Own the redesign end to end: rework the decision flow and handoffs around AI, then take the resulting system into production yourself.
• Translate a vague, cross-functional business problem into a concrete technical plan the client’s team can actually execute against.
• Prototype fast enough to show the client what’s possible, then build only the parts of that prototype the redesigned workflow actually needs.
• Where the redesign calls for it, build the agentic systems, RAG pipelines, or custom data pipelines that make it real never a deliverable in itself, always because the workflow needs it running in production.
• Manage stakeholder alignment across the client’s org, escalating early and requesting support before a blocker becomes a delay.
• Build up the client’s own team alongside the system pair with their people, explain the reasoning behind each decision, and leave them able to run and improve what you built after you’ve moved to the next engagement.
• Build the feedback loop from day one  telemetry, evaluation pipelines, human-in-the-loop review — so the system keeps improving after you’ve moved on.

Senior Sales Manager / Business Development Manager

We are currently looking for a Senior Sales Manager / Business Development Manager with strong German and English skills to join our team.

You will work with leads generated by our marketing and lead generation activities and take ownership of the sales process from qualification and discovery through negotiations and contract signing.

At the same time, we expect a Senior Sales Manager to proactively identify additional business opportunities, build relationships with potential clients, and contribute to growing the sales pipeline.

Requirements

• 5+ years of experience in B2B sales within the IT services, software development, or outsourcing industry;
• Proven experience in full-cycle B2B sales, from lead qualification and discovery to negotiation and contract signing;
• Experience working with leads provided by marketing, outbound, or lead generation teams;
• Ability to independently identify and develop new business opportunities;
• Strong communication, presentation, and negotiation skills;
• Ability to qualify prospects, understand their business needs, and position relevant software development solutions;
• Experience conducting discovery calls and communicating with C-level executives and other key decision-makers;
• Experience preparing commercial proposals, estimates, presentations, and other sales materials;
• Good understanding of software development services, dedicated teams, outsourcing, and custom software development;
• Understanding of international markets, particularly UK, DACH, the EU, and the USA;
• Experience in FinTech, InsurTech, Healthcare, iGaming, or other complex B2B industries is a plus;
• English and German at C1 level or higher;
• Strong CRM discipline and ability to maintain an accurate and structured sales pipeline.

Responsibilities

• Work with qualified leads provided by our marketing and lead generation teams;
• Qualify opportunities and conduct discovery calls to understand client needs, business challenges, budgets, timelines, and decision-making processes;
• Manage the complete sales cycle from initial contact to contract signing;
• Conduct sales presentations, negotiations, and commercial discussions with potential clients;
• Build and maintain relationships with C-level executives and other key stakeholders;
• Prepare commercial proposals, estimates, presentations, and other sales materials;
• Coordinate solution preparation and presale activities together with technical, delivery, and management teams;
• Negotiate commercial terms and coordinate the contracting process;
• Maintain accurate client, opportunity, and deal information in CRM;
• Track pipeline progress, sales activities, forecasts, and performance;
• Proactively identify and develop additional sales opportunities through LinkedIn, networking, referrals, events, partnerships, and direct outreach;
• Build and maintain a healthy sales pipeline;
• Collaborate with marketing and lead generation teams and provide feedback on lead quality and target audiences;
• Contribute to the development of the sales strategy and continuously improve the sales process.

Job Description

• Knowledge of testing methodologies, tools, and test documentation types (test plan, test cases).

• Understanding how to work with bug-tracking systems

• Strong reporting skills and team-oriented mindset

• Good written and verbal communication skills

English

• Intermediate or higher, written and spoken

Job Responsibilities

• Perform system, functional, data, integration, user acceptance, performance, and regression testing

• Work in a dynamic SD environment

• Play a hands-on role as part of an team

• Demonstrate passion about building high-quality software, love solving problems and facing new challenges

Department/Project Description

Our Client is a major provider of software and framework solutions for clinical trials for Pharma Companies. Many years of experience on the market and proprietary techniques and approaches allow building cutting-edge solutions, which mitigate the trial risks and increase the potential and the success of the study results

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

Requirements:
- 5+ years of commercial Python development experience.
- 1+ years as a Team Lead.
- Experience with Docker, Kubernetes, CI/CD and cloud environments.
- Understanding REST, experience with different protocols (especially http and gRPC))
- Experience with databases (MongoDB/PostgreSQL/MySQL/Redis) and messaging systems (NATS, Kafka, RabbitMQ or similar).
- Strong engineering practices (code reviews, testing, clean code) and people management skills.

Will be plus:
- Experience with Grafana/LGTM, Datadog or similar observability tools.
- Experience with DORA metrics or engineering performance metrics.
- On-call experience.

Responsibilities:

- Lead a team of backend engineers, providing technical guidance, mentoring and regular feedback.
- Own the team's technical delivery—from planning and estimation to releases and production support.
- Drive code quality, architecture decisions and continuous improvement of existing services.
- Collaborate with Product, QA, DevOps and other stakeholders to ensure predictable delivery.
- Hire, onboard and develop engineers while fostering a culture of ownership and accountability.

Our benefits to you:

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

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

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

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

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

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

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

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

🎳Other benefits could be added based on your location 

• Project Description:

  We are working on a platform, which receives data about securities and prices from various data providers, enrich and validate it, and finally distribute the consolidated data to internal bank systems. Our team is responsible for different web applications, desktop applications, web services and Linux environments that allow to visualize securities and to execute workflows on them.
  
  Our components are created in Java 8-11, C# and .Net, JavaScript/TypeScript with Angular, Oracle, Spring 4-5 (as well as Spring Boot).

• Responsibilities:

  - Develop business and technical features for old and new applications
  - Prototype Ideas (we have many internal technical projects, we plan to rewrite all our legacy components in 1-2 years in Spring Boot and Spring Cloud, we play with Kotlin and Groovy)
  - Configure and maintain Windows and Linux environments (we own many environments, install agents and software, patch, monitor, etc)
  - Integrate our components with different internal and external client's systems
  - Configure, monitor, and troubleshoot Application servers (Tomcat, Weblogic)
  - Monitor applications, processes, scheduled jobs, collect different types of logs and metrics (ELK, ITRS, Autosys)
  - Setup and improve CI/CD (Jenkins, TeamCity, IBM Urban Deploy, Bash)
  - Automate routine with scripting languages (Groovy, Bash)
  - Write all types of tests: unit, integration, end-to-end
  - Design distributed applications (we deploy everything on more than one server, use load balancing and clusters, prefer lightweight and stateless solutions, extract functionality into small services, switch from monolith to microservice architecture)

• Mandatory Skills Description:

  - Strong Java SE and Java EE with at least 10 years of commercial experience
  - Strong Spring knowledge (Boot, IoC, MVC, AOP, Security, Data, JDBC, Test)
  - Good knowledge of SQL and relational databases (Oracle)
  - Good understanding of Servlets, Servlet containers (Tomcat) and application servers (Weblogic)
  - Good understanding of CI/CD, experience with TeamCity or/and Jenkins
  - Hands-on user experience with Linux (navigation, work with files and folders, work with permissions, users and groups, work with processes and services, understanding of keys and certificates, simple Bash scripting)
  - Ability to dive into the problem, find effective and clean solutions, discuss them with the team and implement the best one when everyone is on the same page

• Nice-to-Have Skills Description:

  - Angular or similar (React, Vue), Angular Material, RxJs
  - Ability to create nice HTML/CSS layouts
  - Deep Oracle knowledge
  - Experience with ELK
  - Experience with Spring Cloud modules and microservice architecture

• Languages:
  • English: B2 Upper Intermediate

ABOUT FIRST CRYPTO EXCHANGE LLC

First Crypto is a VARA-licensed OTC broker-dealer in Dubai serving individuals and institutions. We are building our own platform for digital assets and fiat payments: OTC desk, web client and mobile app.
 

JOB OVERVIEW

We are looking for a Financial Platform Architect to lead the architecture of FCE’s own financial core, including accounting, settlement flows, reconciliation, and integrations with banks, custodians, and liquidity providers.

You will work closely with the CTO and a small, strong engineering team, with a high level of autonomy and direct influence on key architectural decisions.
 

KEY RESPONSIBILITIES

• Own the architecture of the financial core, including account model, double-entry ledger, settlement flows, and reconciliation.
• Develop the core as the system of record and systematically reduce remaining vendor dependencies.
• Design guarantees for the correctness of money movements: idempotency, transaction boundaries, and compensation for long-running processes.
• Design the model for segregation of client and proprietary funds and demonstrate that liabilities are covered by assets.
• Architect integrations with banks, custodians, and liquidity providers, including unified vendor contracts, limits, and concentration controls.
• Maintain a registry of permitted asset — counterparty — rail — jurisdiction combinations and rules for introducing new ones.
• Design market conduct controls and regulatory reporting together with Compliance.
• Maintain architectural decisions and technical documentation suitable for external audits and regulators.
• Conduct architecture reviews for changes affecting the movement of funds.
   

QUALIFICATIONS & SKILLS

• Mandatory production experience in fintech, including payments, settlement, custody, banking, or brokerage backends. Candidates without this experience will not be considered.
• Practical experience designing and operating a double-entry ledger, including chart of accounts, journal, reservations, adjustments, and reconciliation.
• Strong understanding of settlement mechanics, including payment finality, intraday and daily limits, prefunding, netting, suspense accounts, and discrepancy resolution.
• Practical experience with idempotency, distributed sagas, and compensating transactions, beyond terminology.
• Experience with external audits and regulatory requirements.
• Experience working with systems where financial errors have direct financial and regulatory consequences.
• Ability to write architecture documents that are clear not only to engineers.
• Hands-on coding experience. Daily production development is not required, but validating own architectural decisions in code, building internal tools, and working with AI agents are part of the role. TypeScript/Node is the primary stack; comparable backend experience is acceptable with willingness to work in our stack.
• Experience with AI development tools and understanding of the limitations of AI-generated code.
• Russian — fluent: project discussions, reviews, and team communication are conducted in russian.
• English — C1: required for documentation, external auditors, and vendors.
   

WORKING CONDITIONS & BENEFITS

• Employment: Full-time, permanent contract
• Location: Dubai, UAE (relocation could be considered in 1-2 months of test period)
• Work format: Hybrid, with regular presence in the office. The company provides relocation support to employees.
• Reporting to: CTO
• Team: Small, strong engineering team
• Financial core: Own financial core in active development, with key architectural decisions being made now rather than inherited
• Responsibility: High level of autonomy and influence on architectural decisions
• Compensation: Competitive compensation based on experience
• Vacation: 20 working days per year
• Sick Leave: 10 days per year
• Days Off: 5 days per year
• Public Holidays: 8-10 days per year, depending on the holiday calendar of different countries

We are looking for a skilled Recruiter to join our team, someone who can identify, engage, and close top talent to help us build strong, high-performing teams.

Requirements:
— 3+ years of experience in recruitment;
— Excellent communication and negotiation skills;
— Expert-level knowledge of the full recruitment lifecycle, including but not limited to sourcing, qualifying, networking, assessing, job analysis, and relationship management;
— Strong background in active/direct sourcing;
— Ability to multitask effectively in a fast-paced environment;
— Proactive and goal-oriented mindset;
— Self-motivated and adaptable;
— Strong team player.

Responsibilities:

— Build strong relationships with hiring managers and candidates;

— Act as a trusted Talent Acquisition partner to the business, supporting growth through effective hiring strategies;
— Headhunt and close senior and/or executive-level candidates;

— Proactively source and attract top talent from the market;
— Provide market insights and recruitment expertise to support informed hiring decisions.

We offer:
— Work in commercially successful company developing products in the iGaming industry;
— Highly competitive sphere which leads to rapid professional growth;
— Lack of bureaucracy, efficient workflow organization and quick decision making;
— Friendly team of professionals;
— Participation in thematic seminars and conferences;
— Convenient office location in the city center;
— Medical insurance and corporate doctor;
— An inspiring, comfy, clean and safe office. 

We are looking for an AI Manager to our team.

Ideal for someone who is passionate about AI and its practical application in business and wants to shape how an organization adopts AI at scale.

AI Governance & AI Adoption · AI Risk Assessment · AI Agents & Automation· Information Security & Data Governance

What you'll do:

1. Build and Own the AI Governance Framework

• Develop clear and practical rules for AI usage across the company.
• Define which AI tools and use cases are approved, require additional review, or are prohibited.
• Establish clear guidelines on what types of company data can and cannot be shared with AI services.
• Develop a risk assessment framework for new AI tools and use cases.
• Define clear ownership and responsibilities across AI, Security, Legal, IT, and business teams.
• Create a streamlined approval process for AI initiatives without unnecessary bureaucracy.

2. Enable AI Innovation — Don’t Block It

• Build governance processes that enable employees to safely explore and adopt AI rather than creating unnecessary barriers.
• Establish a self-service approach for low-risk AI initiatives.
• Define clear and practical risk assessment criteria.
• Introduce a fast-track approval process for standard and low-risk use cases.
• Maintain a catalogue of approved AI tools.
• Develop practical templates, guidelines, and playbooks for teams.
• Establish sandbox and pilot mechanisms for testing new AI solutions.

3. Drive AI Adoption Across the Company

• Collect, structure, and maintain a portfolio of AI use cases across teams.
• Help teams identify opportunities where AI can improve efficiency, quality, or decision-making.
• Identify and prioritize the most promising AI use cases.
• Support teams in running AI pilots and measuring their impact.
• Identify successful use cases and help scale them across the organization.
• Build a culture of responsible and effective AI adoption.

4. Manage Long-Term AI Risks

• Build processes to identify and manage AI-related risks throughout the lifecycle of AI solutions.
• Monitor risks related to data leakage and misuse of company information.
• Assess privacy, security, and compliance risks associated with AI adoption.
• Establish controls around the use of AI in critical or high-impact decision-making.
• Define approaches to managing AI hallucinations, inaccuracies, and other model-related risks.
• Assess and mitigate vendor and dependency risks associated with AI providers.
• Establish governance for the growing use of AI agents and automated processes.
• Monitor changes to AI vendors’ terms of service, capabilities, and risk profiles.
• Keep AI governance aligned with evolving regulatory and compliance requirements.
• Identify and manage potential reputational and operational risks related to AI.

5. Establish AI Lifecycle Management

• Design and implement an end-to-end AI lifecycle management process:
  Idea → Risk Assessment → Pilot → Approval → Production → Monitoring → Review
• Ensure the company has clear visibility into which AI solutions are being used, why they are being used, what data they process, and who is responsible for them.
• Establish regular review and reassessment mechanisms for AI tools and use cases.
• Ensure AI governance remains effective as tools, use cases, risks, and regulations evolve.

Your expertise:

• Proven experience building and driving AI adoption processes in fast-paced and constantly evolving environments.
• Ability to evaluate AI use cases from both business value and risk perspectives.
• Solid understanding of information security, privacy, and data governance principles.
• Experience working cross-functionally with Security, Legal, IT, and business teams.
• Strong stakeholder management, communication, and collaboration skills.
• Ability to translate complex technical, security, legal, and regulatory requirements into clear and practical guidelines for employees.
• Strong systems thinking and the ability to design scalable processes that can evolve with the organization.
• Proactive mindset and willingness to independently research and evaluate emerging AI technologies, tools, and use cases.
• Hands-on experience with AI agents, automation, and AI-powered workflows.
• Technical background with the ability to understand AI technologies, architectures, and their practical implications.
• Previous experience in fintech, financial services, or another highly regulated technology environment.

Life at Emergine:
Stay Supported

• 100% paid sick leave
• 21 working days of paid vacation
• Medical support for office and remote employees
• Benefits Cafeteria including sports, gym, healthcare, dental care, psychological support, wellness and learning.

Work Without Borders

• International team
• Global collaboration
• Flexible work models depending on the role
• Remote, hybrid or office-based setup depending on the position

Grow Through Motion

• PDP and career development plans
• Regular feedback sessions
• Leadership opportunities
• Continuous professional development
• Knowledge-sharing sessions
• Management development initiatives

Create Real Impact

• Ownership from early stages
• International projects
• Complex and meaningful challenges
• Collaborative management
• Open communication
• Low bureaucracy
• Space for initiative and innovation

Hiring process:
HR Interview ·  Technical Interview ·  Final Interview · Reference check · Job Offer

We are looking for a Strong Senior FullStack Developer with 7+ years of experience. Our product is a mobile and web application designed to ensure the highest standards in construction safety and quality.

Our client is a leading company in the Israeli construction quality control and safety space, currently experiencing strong growth and backed by recent investment to accelerate expansion into the US market.
 

Tech Stack

Languages: JavaScript, TypeScript
Frontend: React, React Native, MobX
Backend: NodeJS, GraphQL
Database: MySQL
 

Team Composition

Product Team: 4 Product Owners, 1 UX Designer, 1 VP R&D, 3 Team Leads, 1 Tech Lead, 5 QA Engineers, 14 FullStack Developers, 2 DevOps Engineers, Sales and Support Team
 

Role Overview

As a Senior FullStack Developer, you will focus on setting and maintaining technical standards, architectural decisions, and ensuring high-quality code. You will tackle challenging features, build foundational structures, and either develop them yourself or collaborate with the team.

New developer will work on both technical debt and product features, with the exact balance evolving over time based on product priorities.

At this stage of development, the task proportions are expected to be distributed as follows: 80% frontend and 20% backend.
 

Primary Responsibilities:

• Coding & Estimation (80%): Write high-quality code, break down tasks with the Team Lead, and deliver robust features.
• Code Review & Mentoring (20%): Review code to ensure adherence to standards, share knowledge, and mentor team members.
   

Key Competencies:

• Strong performance optimization skills
• Debugging assistance and skill sharing
• Attention to detail and bug-free delivery
   

Quality Metrics:

• Uptime/SLA and other performance metrics
• Minimal performance issues and bugs
• Fault tolerance and problem minimization
   

What We Offer

• Culture: Transparent, sincere, and straightforward culture with a focus on software craftsmanship.
• Employment Type: Self-employment contract with an adult attitude.
• Work Schedule: 10 working months per year, 2 months paid time off (not exceeding 2-3 weeks at a time).
• Workspace: Office space available for co-working as needed.
• Education & Development: Coverage of 25% to 75% of costs for education and self-development.
   

Our Recruitment Stages

Here are the recruitment stages the candidate will go through:

1. HR Interview ~1h
   1. The first meeting with our HR manager to discuss general questions, learn about the company, and understand your work expectations.
2. Home Task ~1,5-4h (We guarantee that you will receive comprehensive feedback on the completed task)
   1. A practical task you will complete at home. It will help us assess your technical skills and approach to problem-solving.
3. Technical Interview + Live Coding ~1-1,5h
   1. A meeting with our technical specialist to discuss your home task solution, followed by live coding to evaluate your skills in real-time.
4. Interview with the VP R&D & HR Interview ~30min
   1. An interview with our Chief Technical Officer to discuss your experience, vision for development, and alignment with our culture.
   2. +HR Interview with the Customer
      1. The final meeting with our HR manager and our customer to clarify details and make the final decision.

We’re looking for someone who doesn’t just “close tickets,” but wants to be part of the product, influence it, and see the real impact of their work.
If this resonates with you - we’d love to connect 🙂