Jobs Data & Analytics

Title: Principal AI Consultant, Agentic Strategy and Solutions
Reports To: Global Head of AI & Advisory
Department: AI & Advisory
Location: Remote US
Type: Full-Time

Working Hours: 9 AM - 5 PM EST

About Atlas Technica

Atlas Technica is the premier Managed Service Provider (MSP) for the alternative investment industry. We power the technology behind the world’s leading hedge funds, private equity firms, and family offices. We are currently evolving into the industry’s first Managed Intelligence Provider (MIP), architecting the secure "factory floor" for institutional alpha generation.

Our AI & Advisory practice doesn't just sell licenses. We architect the secure blueprints and complex agentic frameworks that allow elite investment teams to operate at the frontier of GenAI. We are currently scaling a product lane centered on Intelligent Workflow Design: a tiered, institutional offering designed to rewire how fundamental research and investment operations happen.

The Mission

We are looking for a Principal, Agentic Strategy & Solutions to architect and pilot our client-facing advisory business. This is a strategic player-coach role for an elite practitioner who is tired of making slides and wants to actually build the future of high finance.

You will start as our lead architect for client enablement, personally designing the multi-agent systems that drive real ROI for our clients. As the practice scales, you will have the mandate to hire and lead a specialized pod of 2–3 AI consultants, initially, ensuring our global delivery model remains as sharp as our code.
 

What You Will Own

1. Strategic Product Development

• Architect the Atlas "Agentic Workflow Training" series as a repeatable, institutional product. We want intensive cohorts and strategic office hours, not generic webinars.
• Develop and maintain proprietary Pattern Libraries for complex fund strategies:
  ○ Long/Short Equity: Automating fundamental synthesis and 10-K/Q anomaly detection.
  ○ Macro / Multi-Strat: Building global news triage systems and cross-asset scenario companions.
  ○ Credit & Private Markets: Engineering covenant extraction and automated deal-memo synthesis.
• Define the "Basic" vs "Advanced" AI Factory playbooks, ensuring we have a solution for every stage of client maturity.

2. Hands-On Agentic Orchestration

• Design sophisticated system prompts and multi-agent workflows.
• Work daily in the "workbench": utilizing Claude, ChatGPT, … to ship production-ready patterns.
• Establish robust evaluation harnesses to measure agent performance, hallucination risk, and research depth. You find a 1% error rate on a financial metric personally offensive.

3. Executive Advisory & Client Delivery

• Lead high-stakes design sprints for C-suite stakeholders at $10B+ AUM funds.
• Partner with Sales and CTMs to translate "we want AI" into scoped, high-value consulting engagements that deliver.

4. Internal Practice Enablement

• Serve as the firm-wide "Internal Coach" for prompt and agent fluency. You’ll create the playbooks that empower our engineering teams to sustain these environments.

• Contribute to R&D on "AI Defense," focusing on prompt safety and governance patterns for SEC and FINRA-regulated environments.

   

Your DNA

• The Consulting Pedigree: You have 7+ years of experience within a global consultancy (e.g., EY, Deloitte, Accenture, McKinsey, BCG) in a client-facing, engagement-leadership role. You know how to manage a room and a project plan.
• The Builder Mindset: You are a daily practitioner of LLMs and orchestration frameworks. You don't just "manage" the tech; you operate in the terminal and understand what works.
• Capital Markets Fluency: You speak the language of PMs, Research Analysts, and CCOs and understand the fundamental research process.
• The Clever Edge: you can demystify "Retrieval Augmented Generation" for a non-technical COO while keeping the technical respect of a Principal Architect.

• High-Velocity Orientation: You thrive in the "N of 1" environment where the tech changes weekly. You believe that shipping beat perfection every single time.

   

What Success Looks Like (First 12 Months)

• Q1-Q2: A codified training offer with a validated library of "Bronze" workflow families ready for global scale.
• Q3-Q4: High NPS and measurable research compression for a cohort of pilot clients.
• Practice Growth: A clear roadmap and your first 2–3 direct reports hired as practice revenue hits target milestones.

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

PLEASE NOTE that we are searching for candidates who are located in Lviv and are able to visit office in Lviv.

About us:

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide.

But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork.

EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.

We are looking for a passionate and dedicated Trainee/Junior BI/DB Developer to join our team in Lviv!

What You'll get to do:

• Develop real-time data processing and aggregations
• Create and modify data marts to enhance the data warehouse
• Manage internal and external integrations
• Build and maintain various types of reports

Our Main Stack:

• Databases: BigQuery, PostgreSQL, SQL
• ETL: Apache Airflow, Apache NiFi
• Streaming: Apache Kafka

What You need to know:

• Bachelor’s or Master’s degree in a STEM field
• Solid understanding of Computer Science fundamentals: Software Engineering, Algorithms, Operating Systems, Networking, etc.
• Strong knowledge of at least one RDBMS (PostgreSQL, MSSQL, Oracle, MySQL), including: database internals, query optimization, indexing, partitioning, practical experience with ETL/ELT processes
• Experience in creating or supporting Data Warehouses
• Hands-on experience with at least one enterprise Business Intelligence platform
• English proficiency at an intermediate level or higher (reading, writing, speaking)
   

Here's what we offer:

• Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
• 3 sick leave days per year, no doctor's note required; 30 medical leave days with medical allowance
• Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year.
• Benefit from two Free Fridays each year, limited to one per quarter.
• Daily catered lunch or monthly lunch allowance. 
• Private Medical Subscription. 
• Access online learning platforms like Udemy for Business, LinkedIn Learning or O’Reilly, and a budget for external training.
• Gym allowance.
• Corporate English lessons.
• Support for New Parents:
• 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old.
• 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.

Our office perks include on-site massages and frequent team-building activities in various locations.

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

We are looking for talented Data Analyst with a passion for managing, analyzing and visualizing data to find actionable Insights and help improve outcomes for our business and internal customers.

Responsibilities:

•Deep-dive analysis of subscriber-data from large databases;

•Writing and running SQL queries to retrieve data from databases;

•Monitoring and auditing accuracy and completeness of collected data;

•Organizing data into usable formats;

•Generating information and insights from data and identifying trends and patterns;

•Conducting A/B tests to understand and evaluate quality of data models;

•Creating data dashboards, graphs and visualizations;

•Developing and maintaining automated data processes.

Requirements:

•Experience with SQL queries and data aggregation;

•Experience SQL / PLSQL programming;

•Excellent knowledge and confident Excel user;

•Skills to optimize SQL queries;

•Experience in developing analytical reports and interactive dashboard in Power BI;

•Financial and analytical data presentation skills;

•Gaining knowledge from a large amount of data;

•Basic knowledge of statistics;

•Jira, Confluence;

•Experience in Machine Learning and Big Data technologies (as a plus).

We offer:

•A unique experience of working for the largest and most beloved mobile operator in Ukraine;

•Real opportunity to ship digital products to millions of customers;

•Remote work with possibility to visit the office;

•Onboarding program which can help with fast on-line adaptation;

•A competitive salary;

•Annual bonus;

•Paid sick leave and vacation;

•Financial aid in different life situations;

•Flexible working hours;

•Medical and life insurance;

•Great possibilities for professional development and career growth;

•Friendly & collaborative environment.

POSITION OBJECTIVE:

• System Developer – Custom AI & Multi-Agent Systems (Python / Gemini): is responsible for development to design, implement, and maintain a custom, production-grade AI system built in Python and powered by Google Gemini models.
• This role focuses on developing a multi-agent architecture that collaborates to solve domain-specific problems using a tightly controlled set of internal and external APIs.
• The developer will work closely with backend engineers and domain experts to ensure that AI outputs are accurate, explainable, and aligned with real-world system behavior.

RESPONSIBILITIES:

• Ensuring that AI agents interact with this platform in a reliable, deterministic, and secure manner, using well-defined API contracts and business rules. 
• Designing agent roles and coordination strategies, implementing prompt and tool-use logic, and managing context boundaries so agents operate efficiently within defined data and API limits.

• Building supporting infrastructure such as agent orchestration logic, error handling and fallback mechanisms, observability and logging, and test harnesses for validating agent behavior against known scenarios.

   

REQUIREMENTS:

• Strong proficiency in Python, including production-quality code, testing, and debugging
• Hands-on experience integrating large language models, preferably Google Gemini
• Experience designing or working with multi-agent or tool-augmented AI systems
• Familiarity with RESTful APIs and secure service-to-service communication

• Solid understanding of system design, state management, and asynchronous workflows

   

PREFERRED QUALIFICATIONS:

• Experience working with geospatial, telemetry, or fleet-tracking data
• Background in backend systems, distributed services, or data pipelines
• Experience with AI evaluation, prompt iteration, and model behavior analysisderstanding of the full mobile development lifecycle.

WHAT WE CAN OFFER YOU:

• Paid vacation and sick time 
• Public holidays 
• Technical equipment
• Happy hours on Fridays
• Company sponsored events as well as a casual work environment

SALARY COMMENSURATE WITH EXPERIENCE

       We are an international iGaming holding, actively growing and now launching a new online casino project on the LATAM market, with an emphasis on Argentina.

       We are looking for a data-driven and creative Retention CRM Manager to take ownership of player lifecycle management and CRM communications. You will develop retention strategies, design and execute multi-channel campaigns (email, SMS, push, in-app), and drive personalization and automation that maximize player LTV, reduce churn, and increase revenue.

Key Responsibilities:

• Develop and execute CRM and retention strategies tailored for online casino players
• Segment player base by key parameters (LTV, deposit frequency, activity, geo, etc.)
• Plan, launch, and optimize multi-channel CRM campaigns (email, SMS, push, in-app, WhatsApp, Telegram, etc.)
• Monitor, analyze, and improve retention funnels and player engagement metrics.
• Collaborate with Marketing, Analytics, and Product teams to create personalized offers and promotions.
• Track and optimize KPIs such as Retention Rate, Reactivation Rate, Churn Rate, ARPPU, LTV.
• Run A/B tests and implement data-driven improvements.
• Support local marketing activities for LATAM players.
  
   

Requirements:

• 2+ years of experience as a Retention Manager / CRM Manager in iGaming
• Experience with the GR8 Tech platform is mandatory
• Hands-on experience with CRM tools (Optimove, Smartico, Salesforce, Ometria, Emarsys or similar).
• Strong analytical skills and experience with BI tools (Tableau, Power BI, Looker).
• Expertise in customer segmentation and building user journeys.
• Deep understanding of retention and monetization metrics in iGaming.
• English (B2+) is required; Spanish is a strong advantage (especially for LATAM).
• Creativity and ability to generate engaging and relevant content for different audiences.
   

What we offer:

• Opportunity to become part of the launch of a large international project
• Freedom of action and influence on the brand strategy
• Work in a multicultural team of professionals
• Competitive remuneration and bonus system
• Prospects for career and professional growth within a large holding
• Remote work format
• Health and leisure care: paid vacation and sick leave 
• Quick decision making and freedom from micromanagement
   
   Are you ready to create a brand that will be a leader in LATAM? Then join the best and shape the future of the iGaming industry with us! 🚀

About the company:
       Our LATAM iGaming startup is more than a business, it is a place where ideas, talents and opportunities meet. 🤝
      As part of an international holding, we bring global expertise in the gaming industry to the Latin American market, while remaining close to the culture and needs of players.

       You can grow with us, influence the outcome and shape the gaming experience of the future.💯

Join the Fintech Core team building a white-label modular platform that powers digital banks, payment systems, and fintech products across Europe, North America, and MENA regions
 

As a System/Business Analyst on the Fintech Core project, you will define technical architecture, system specifications, and integration designs for a white-label modular fintech platform that enables rapid creation of digital banking and payment products.
 

The platform provides a complete technology stack including general ledger, middleware, mobile/web applications, and extensive third-party integrations for KYC, payments, card issuance, and compliance. You'll work closely with Business Analysts, Solution Architects, and Engineering teams to translate business requirements into detailed technical specifications, design robust system architectures, and ensure seamless integration across microservices while maintaining regulatory compliance and enterprise-grade security.

This role offers hands-on experience designing financial systems at scale, with exposure to payment processing, card networks, digital wallets, cross-border transactions, and regulatory compliance frameworks serving multiple fintech implementations globally.

Responsibilities
 

• Analyze and document system requirements for platform modules including payments, card issuance, digital wallets, accounts, ledger management, and compliance systems
• Translate business requirements into detailed technical specifications, API contracts, database schemas, and integration architectures
• Design data models, entity relationships, and data flow diagrams for transactional and financial systems with appropriate normalization and performance considerations
• Define integration patterns and technical specifications for connecting with payment processors, KYC/AML providers, card issuers, and open banking platforms
• Document system behaviors using sequence diagrams, component diagrams, deployment architectures, and API specifications (OpenAPI/Swagger)
• Collaborate with Solution Architects to ensure system designs align with microservices architecture patterns, scalability requirements, and technical best practices
• Define non-functional requirements including performance benchmarks, security controls, data retention policies, and audit trail specifications
• Facilitate technical design workshops with Engineering teams to review system specifications, validate implementation approaches, and identify technical risks
• Create comprehensive system documentation in Confluence covering technical flows, component interactions, message formats, and infrastructure requirements
• Support QA teams by defining system integration test scenarios, technical acceptance criteria, and end-to-end testing strategies
• Analyze system performance bottlenecks and propose optimization solutions for high-throughput financial transaction processing
• Ensure all technical specifications maintain regulatory compliance requirements (PCI DSS, GDPR, PSD2) and financial data security standards
• Maintain traceability between business requirements, system specifications, technical implementations, and test cases
• Participate in sprint planning, technical refinement sessions, and architecture review boards to ensure alignment between product vision and technical execution

Professional skills are required:
 

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains

   

• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management

   

• Experience with microservices architecture, API design, and distributed systems

   

• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams

   

• Knowledge of database design and data modeling for transactional systems

   

• Understanding of integration patterns, message queues, and event-driven architectures

   

• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)

   

• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)

   

• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)

   

• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

Technical Skills

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains

• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management

• Experience with microservices architecture, API design, and distributed systems
• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams

• Knowledge of database design and data modeling for transactional systems

• Understanding of integration patterns, message queues, and event-driven architectures

• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)

• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)

• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)

• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

   

Domain Knowledge

• Understanding of core banking concepts: accounts, transactions, balances, ledgers, reconciliation

   

• Knowledge of payment flows: domestic/international transfers, card payments, digital wallets

   

• Familiarity with KYC/AML processes and regulatory compliance requirements

   

• Understanding of financial data security standards (PCI DSS, GDPR)

   

• Experience with fintech product features: onboarding, card issuing, FX, acquiring

Analytical & Documentation Skills

• Excellent analytical thinking and problem-solving abilities

• Strong technical writing skills with attention to detail

• Ability to translate complex business requirements into technical specifications

• Experience with UML, BPMN, or similar modeling notations

• Proficiency with documentation tools (Confluence, Notion, or similar)

• Experience with requirements management and traceability

Skills will be a plus:
 

• Experience with white-label or multi-tenant system architectures

• Knowledge of blockchain and cryptocurrency integrations

• Familiarity with regulatory frameworks (PSD2, Open Banking, MiFID)

• Experience with performance testing and system optimization

• Understanding of DevOps practices and CI/CD pipelines

• Previous experience with modular platform architecture

• Knowledge of financial compliance and audit requirements

• Experience with data migration and system integration projects

Project description:

Fintech Core is a white-label modular fintech solution designed for rapid creation and launch of digital banking and payment products. It provides a comprehensive, turnkey platform that enables businesses to build neobanks, digital wallets, payment systems, and other fintech products within 3 months rather than years. The solution includes a complete technology stack: a robust general ledger platform, middleware layer, customizable frontend applications for iOS/Android/Web, and extensive third-party integrations for KYC, payments, card issuance, and compliance. Unlike traditional SaaS offerings, Fintech Core provides full access to source code, eliminating vendor lock-in and enabling deep customization.

The platform is built on microservices architecture with modular components that can be independently scaled and customized. It supports multi-currency operations, cross-border payments, card issuing, account management, transaction processing, compliance monitoring, and back-office orchestration. The solution is PCI & DSS compliant and designed to meet regulatory requirements across multiple jurisdictions.

Project stage: Active development and continuous enhancement. The platform is mature with multiple successful implementations but undergoes constant evolution to incorporate new regulatory requirements, payment integrations, and fintech capabilities. Quality, scalability, and compliance are paramount priorities.

The size and the structure of the PROJECT team:

Cross-functional team including Product Owners, Business Analysts, System Analysts, Frontend/Backend Developers, QA Engineers, DevOps, Security Specialists, and Compliance Consultants. The team operates in an Agile environment with close collaboration between technical and business functions.

We are looking for a Senior AI / ML Engineer to join a cybersecurity-focused product team and help build intelligent AI-powered security solutions.

Remote, full-time
Working hours: 9 AM – 6 PM Kyiv time
Domain: Cybersecurity

Requirements

• 3+ years of hands-on experience in Data Science / Machine Learning
• Strong Python skills and experience with the modern ML ecosystem:
  NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow
• Strong understanding of ML fundamentals and model behaviour
• Experience delivering ML systems into production
• Understanding of LLM architectures and fine-tuning approaches
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• English: Upper-Intermediate
   

Would be a plus: 

• Experience with cybersecurity-related products or datasets
• Experience with AI agents or reasoning systems
• Experience with cloud platforms and MLOps practices
• NLP or Generative AI experience
  
  Responsibilities:
• Develop and deploy ML/AI solutions from research to production
• Build security-focused AI agents and reasoning systems
• Develop ML models for anomaly detection, classification, and predictive analytics
• Fine-tune and adapt LLMs for cybersecurity use cases
• Monitor and improve model performance in production environments
• Collaborate with cross-functional product and engineering teams
   

Axon is looking for a motivated Business Analyst to join our team in a fully remote setup. The Business Analyst would be a bridge between our clients and the delivery team — turning business goals into clear, testable requirements that engineering can build with confidence, removing ambiguity before development starts, and protecting product quality.

You will work closely with Project Managers, Software Engineers, QA, and UI/UX Designers, as well as directly with clients and their stakeholders, to keep everyone aligned on what we are building and why.

What You Need for This Position

Previous Experience

• 3+ years of experience as a Business Analyst in an outsourced / service company setting, working directly with external clients;
• Experience analyzing requirements across more than one industry is a plus — at Axon, the same BA can move between domains (Real Estate, Insurance, Education, etc.);
• English: Upper-Intermediate or higher (written and verbal) — required for client-facing communication.

Core Business Analysis Skills

• Domain & Discovery: Quickly learns the client's business across any industry we serve, asks the questions that surface the real problem, and is comfortable running interviews, workshops, story mapping, and lightweight prototyping.
• Requirements Craft: Writes specs that engineering can actually build — user stories with clear acceptance criteria, relevant non-functional needs (performance, security, integrations), and edge cases caught before the sprint, not during it.
• Single Source of Truth: Keeps decisions, rules, and open questions in the knowledge center and issue tracker — not in chat threads or someone's memory.
• Technical Fluency: Reads API docs and data models, follows feasibility discussions, and partners with engineers — while respecting the line between business requirements and technical design.
• Collaboration & Written Communication: Translates business language for engineers and engineering reality for clients; communicates clearly in writing, which is essential for remote work.

Technical Skills

• Solid understanding of the Software Development Life Cycle (SDLC) and Agile / Scrum ways of working;
• Hands-on experience writing user stories, acceptance criteria, and non-functional requirements;
• Practical experience with discovery techniques — stakeholder interviews, workshops, user story mapping, simple flow diagrams or wireframes;
• Able to read API documentation and reason about data models to validate feasibility with engineers;

• Familiarity with backlog refinement, scope-change impact analysis, and risk surfacing.

   

What You Will Be Doing

• Turn client business goals into build-ready backlog items — each with a clear business goal, acceptance criteria, key edge cases, and known dependencies
• Keep a shared understanding with the client — make sure they always know what we are building this sprint and why, and summarize workshop and discovery outputs within 1 working day;
• Together with the PM, maintain a healthy, prioritized backlog with enough refined work for at least 2 sprints ahead;
• Analyze scope changes (impact on time, cost, quality, and dependencies) before they are accepted, and surface risks and unknowns early — not at the deadline;
• Lead or co-lead discovery for new initiatives (new modules, new functionality, modernization) so the team knows what to build, what to skip, and what success looks like;
• Maintain clear and up-to-date project documentation in the knowledge center as the single source of truth;

• Continuously improve how we capture requirements — refining templates, refinement habits, and ways of working so the team has less rework, fewer repeat questions, and faster sign-off.

   

What We Can Offer You

• Challenging work in an international professional environment;
• Well-defined development processes:
• Work in an Agile environment using the Scrum methodology;
• Work alongside experienced Project Managers, Business Analysts, and Engineering Teams within multiple projects;
• Competitive compensation with regular review based on performance;
• 20 compensated vacation days during the calendar year;
• Days off during national holidays;
• 7 days of compensated sick leave during the year;

• Comfortable work schedule (9/10/11 AM – 6/7/8 PM your local time).

   

Interview Stages

• Intro Call with a Recruiter — Google Meet, 30–45 minutes.
• Technical Interview — Google Meet, ~1 hour.
• Managerial / Client Interview — Google Meet, ~1 hour.

• Feedback & Job Offer.

   

Apply

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Thank you for your application and your interest in our vacancy. If we have not contacted you within a week, it means that at the moment you are not qualified for this vacancy. Nevertheless, we will save your CV in our database and will contact you when we open a relevant vacancy for your qualifications.

Readdle is a pioneering force in the personal productivity space on Apple devices, having shaped the landscape since 2007. Our mission is to empower individuals and teams with innovative technology, enhancing their efficiency and creativity. We are dedicated to crafting exceptional mobile and desktop experiences for those who aspire to achieve more.
 

As a Senior Growth Analyst at Readdle, you’ll own the numbers behind how Spark grows. From the first ad impression to long-term renewals, you’ll make sense of the data, design event structures, and ensure everything is measurable. You’ll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to uncover trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve dashboards in Tableau and Google Sheets that reduce ad-hoc reporting requests and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design and monitor A/B experiments and feature launches; validate results and ensure long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with Appsflyer to track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience supporting pricing, monetization, or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau and/or Amplitude for dashboards and complex data visualization.
• Experience with Appsflyer or other attribution platforms; familiarity with Python for data analysis and automation is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), statistics, A/B testing, and concepts like segmentation, churn, or LTV modeling.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

The company helps hotel chains like Hilton and Marriott transform front-desk staff into revenue generators through upselling training and analytics. Their IN-Gauge SaaS platform empowers frontline teams across 2,000+ properties in over 100 countries.

- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Extract & process data using PySpark + S3 (Kafka/Kinesis — bonus)
- Write & optimize SQL on PostgreSQL/Redshift; use DynamoDB as data source/sink
- Run and debug ETL jobs on Glue or EMR; monitor via console/Spark UI

Must-have skills:
- Data engineering - 5 years, 
- AWS - 3 years (1 year latest project), 
- Spark/PySpark - 2 years (1 year latest project)
- English B2+

Langate is an award-winning provider of web development services in 3 main categories: business, healthcare, and education. At Langate, we’re passionate about crafting digital solutions that make a real impact. We take immense pride in our strong collaboration with the U.S. We’re here to shape the future of technology, one milestone at a time.

In addition to technical expertise, we value strong communication, autonomy, and a high level of business orientation. This role requires close collaboration with stakeholders, proactive requirement discovery, and the ability to work effectively in a fast-changing environment without waiting for fully documented inputs.
To thrive in this role, we’re seeking candidates with 2–3+ years of commercial engineering experience, hands-on experience building AI agent solutions, strong Python and/or TypeScript fundamentals, and the ability to design custom tool-using agent loops from scratch. Experience with agent frameworks, evaluation systems, and observability tooling will be a strong advantage.
 

About the project : The project is focused on building production-grade AI agent capabilities for the U.S. healthcare domain. The engineer will work on agentic product features, legacy-system integrations, and supporting components such as scrapers and tool layers, helping automate complex workflows in an environment with significant real-world business impact.
 

Requirements:

• 2–3+ years of commercial engineering experience
• Ability to build a tool-using agent loop from scratch, including tool calling, structured outputs, stop reasons, parallel tool use, and error recovery
• Strong understanding of context engineering, including what to write, select, compress, and isolate
• Hands-on experience with modern agent frameworks or SDKs such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, or Pydantic AI
• Working knowledge of Model Context Protocol (MCP)
• Experience building or extending evaluation harnesses, solid Python and/or TypeScript skills, and Upper-Intermediate English

Responsibilities:

• Design and implement agentic features end-to-end, from prototype to production.
• Build and maintain agent loops, tool layers, context management, persistence, sub-agent orchestration, observability, and safety hooks.
• Define quality standards for agent performance by creating golden datasets, writing evaluations, and setting up regression checks.
• Instrument agents with proper tracing and telemetry, and investigate production behavior using real execution traces.
• Work directly with client stakeholders to elicit and refine requirements, translate them into technical scope, and align on expected outcomes.
• Make pragmatic build-versus-import decisions when selecting frameworks, tools, and external components.
• Participate in architecture discussions and code reviews, contributing to scalable and production-ready engineering decisions.
• Move between projects and priorities as needed, taking ownership of delivery in a fast-changing environment with a high degree of autonomy.

Schedule: 5/2, 8-hour working day (40 hr per week), flexible schedule.
 

Hiring process: HR interview + tech specialists  
 

We offer:

• Competitive compensation
• B2B contract, paid sick leave, 20 days of paid vacation
• Free English lessons  
• Flexible work schedule  
• Official Ukrainian holidays are non-working days  
• Paid courses and certifications  
• Сoach / psychologist consultation  
• Workshops  
• Career development plan
• Mentoring Education  
• Medical Health Insurance

Why Choose Us? What Do We Offer that’s Exceptional?

1. Cutting-Edge Technologies on Real Projects: At Langate, you’ll work with the latest technologies on live projects. We’re a dynamic, fast-growing company, so you’ll find a minimal amount of legacy systems and plenty of opportunities to implement new technologies.
2. Work-Life Balance with Benefits: We value work-life balance and offer paid time off, including vacation days and sick leave. Remote work options and hearty life are part of the package too.
3. Investment in Your Growth: We’re committed to your professional development. You can expect training programs, courses, and opportunities to enhance your English language skills.
4. Team Building and Unity: We know that a happy team is a productive team. That’s why we organize team-building events and group activities to foster strong bonds and a sense of belonging.
    

When you choose us, you’re choosing a company that values innovation, invests in its employees, and provides a supportive and engaging work environment. Join us in shaping the future of technology!
 

Need more information? Welcome!

🟠 Details: we are looking for a Middle/Senior Computer Vision/Machine Learning Engineer to lead the design and development of an AI-powered system for extracting structured spatial data from complex floor plan imagery.

The main goal is to build a production-oriented prototype capable of processing 2D and 3D apartment floor plan images, extracting simplified 2D layouts, detecting rooms and interior spaces, estimating room areas, and generating structured outputs for flooring takeoff calculations.

This is a highly practical, R&D-driven role focused on solving real-world computer vision challenges such as perspective distortion, furniture occlusion, unclear room boundaries, scale estimation, and validation against noisy or inconsistent reference data.

The position can be either full-time or part-time, depending on the candidate’s level of expertise and relevant hands-on experience with similar CV/ML workflows.

🟠 Qualifications:

• 4+ years of hands-on experience in Computer Vision/Machine Learning.
• Strong practical experience with image segmentation, object detection, image preprocessing, and geometry-based computer vision.
• Experience with OpenCV and classical computer vision techniques.
• Experience with modern segmentation and detection architectures such as YOLO, U-Net, SegFormer, Detectron2, SAM, or similar.
• Strong Python engineering skills.
• Experience with polygon/vector processing tools such as Shapely, OpenCV contours, or similar geometry libraries.
• Ability to work with imperfect visual inputs and design robust fallback logic.
• Understanding of OCR-based extraction using tools such as Tesseract, PaddleOCR, docTR, or cloud OCR services.
• Ability to design end-to-end CV pipelines from experimentation to reproducible prototypes.

🟠 Would be a plus:

• Experience with floor plan recognition, architectural drawings, construction tech, real estate tech, or takeoff/estimation workflows.
• Experience with perspective correction, homography, depth estimation, vanishing lines, or top-down reconstruction.
• Experience with depth models such as MiDaS or Depth Anything.
• Experience with synthetic data generation or image-to-image normalization workflows.
• Experience building ML evaluation and observability pipelines.
• Experience integrating ML pipelines into backend services or APIs.
• Experience leading technical direction for R&D-heavy projects.

🟠 Responsibilities:

• Design and implement a render-to-plan pipeline for converting 3D floor plan renderings into simplified 2D measurement-ready layouts.
• Develop CV/ML approaches for room segmentation, boundary detection, polygon extraction, room classification, and space labeling.
• Work with complex visual inputs including top-down plans, oblique renders, dollhouse-style layouts, and low-quality marketing imagery.
• Estimate room-level areas using geometry, OCR, scale evidence, metadata, and heuristic-based validation approaches.
• Define evaluation logic, confidence scoring, and quality metrics for pipeline outputs.
• Produce structured outputs and visual QA overlays for downstream flooring takeoff workflows.
• Collaborate with AI/backend engineers to integrate the CV pipeline into a web-based PoC tool.
• Document technical assumptions, limitations, risks, tradeoffs, and fallback strategies.

🟠 Interview steps:

• Screening with the recruiter (about 45 minutes).
• Technical interview with ML/CV Engineer and PM (about 1 hour).
• Optional take-home task.

🟠 By joining us, you will get: (may add something else for the position)

• 15 paid vacation days + 30 unpaid days off per year.
• 4 paid public holidays.
• 5 sick leaves.
• Accounting and legal support.
• Flexible hours, remote work, and quality equipment.
• 100% certification coverage (on success).
• 50% coverage for additional training.
• Internal workshops and knowledge sharing.
• $50/month wellbeing budget (50% co-pay) for sport, education, therapy, and massage.
• Team-buildings, gifts, and company events.
• Internal rewards and perks program.

🟠 Our office:

📍 FuturaHUB, located in Lviv (Kulparkivska 200a).

• Modern and comfortable workspace.
• Conference rooms and chill-out areas.
• Sports activities and team events.
• Coffee, tea, snacks, and more.

🟠 Some of our values:

• Healthy work-life balance.
• No overtime or pressure culture.
• Transparent communication and clean relationships.
• Ownership and initiative.
• Openness to experimentation, learning, and change.

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client - Europe's largest online car marketplace with 30M+ monthly users across 18 countries - is investing in a next-generation Agentic Software Delivery platform. The goal is to enable autonomous engineering at scale, starting with SDLC automation and expanding further: humans steer, agents deliver.
This is a greenfield environment. A dedicated team will build an end-to-end platform on AWS, integrating with internal systems and delivery processes. The target is for 10–20% of JIRA stories to be handled through fully autonomous delivery within 12 months.

We are looking for a self-driven Engineer with AI experience who thrives in ambiguity and takes ownership without waiting to be directed. This is a proactive role - you are expected to identify problems, propose solutions, and drive them independently.
In addition to engineering, ~10% of your time will involve working with internal delivery teams: understanding their SDLC processes, identifying friction points, and feeding insights back into the platform. You will also support adoption by explaining and promoting the solution across teams.

Must-Have Requirements:

• 5-7+ years of full-stack software engineering experience.
• Hands-on experience with agentic coding tools (e.g. Claude Code, GitHub Copilot, Codex, Cursor) and an understanding of how they work underneath: model APIs, tool calling, agent loops, context management.
• Understanding of LLM API and tool-use patterns: function calling, tool orchestration, and the ability to integrate AI models programmatically, not just through existing UIs.
• Ability to evaluate trade-offs between off-the-shelf agentic tools and custom API-based implementations.
• Genuine enthusiasm for and an informed opinion on where agentic tooling is heading.
• Strong full-stack fundamentals; comfortable owning significant pieces end-to-end across frontend and backend.
• Solid experience in any primary backend language (Java, Python, etc.) combined with React or any other modern frontend framework.
• Proactive, self-driven mindset, able to work independently without detailed instructions.
• Strong communication skills in English (B2–C1).
• Comfortable working in greenfield environments with evolving requirements.

Strong Plus:

• Workflow Engines: Experience with workflow or orchestration engines (e.g. Camunda, N8N, or similar).
• Camunda experience specifically is a significant advantage given the current architectural direction.
• Familiarity with AWS AI services; AWS AI Practitioner certification (AIF-C01) is a notable bonus.
• Exposure to cloud-native orchestration patterns and multi-agent system design.

Mindset & Soft Skills:

• Proactive and self directed, drives outcomes without waiting for direction.
• Comfortable with ambiguity, makes pragmatic decisions when the path is not fully defined.
• Strong technical communication, effectively collaborates with peer engineers to understand domain context.
• Forward thinking, stays current with the AI and agentic tooling landscape and brings new ideas.
• Energized by transforming software delivery, not just a participant but a believer.

About the Role

We are seeking a highly skilled and mission-driven Data Scientist to join our customer team and lead the development of our Patient Risk Scoring machine learning initiatives. In this role, you will build predictive models that identify high-risk patients for interventions, ultimately improving patient outcomes and optimizing care delivery. You will leverage Microsoft Fabric to manage end-to-end machine learning workflows, drawing insights from Electronic Health Record (EHR) data sources. If you are passionate about the intersection of advanced artificial intelligence and healthcare innovation, we want to hear you.

Responsibilities

• Model Development & Deployment: Design, train, evaluate, and deploy machine learning models to predict patient risk scores (e.g., medication refusal, non-compliance, decompensation etc.).
• EHR Data Engineering & Processing: Extract, clean, and transform healthcare data from EHR systems (e.g., Credible) to build robust feature sets for predictive modeling.
• End-to-End Analytics with Microsoft Fabric: Utilize Microsoft Fabric’s unified analytics platform (including Data Engineering, Data Science, and Real-Time Analytics workloads) to orchestrate data pipelines, manage Lakehouse architectures, and scale ML training/inference.
• Clinical Collaboration: Partner closely with clinical stakeholders, medical officers, and care teams to define risk cohorts, ensure the clinical validity of model features, and translate model outputs into actionable clinical workflows.
• MLOps & Monitoring: Establish continuous integration, deployment, and monitoring of ML models to track data drift, model degradation, and fairness/bias over time.
• Compliance & Privacy: Ensure all data handling and modeling practices strictly adhere to healthcare regulations (e.g., HIPAA, HITRUST) and maintain the highest standards of data security and patient privacy.

Qualifications

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Bioinformatics, Health Informatics, or a related quantitative field.
• Professional Experience: 4+ years of experience developing and deploying machine learning solutions in production environments, preferably within healthcare or clinical data ecosystems.
• Microsoft Fabric Experience: Hands-on experience building and deploying data and ML workflows within the Microsoft Fabric ecosystem (OneLake, Notebooks, Spark, Data Factory).
• Machine Learning Proficiency: Strong grasp of classical machine learning algorithms (e.g., XGBoost, Random Forests, Logistic Regression) and modern deep learning techniques, specifically for tabular and time-series data.
• Programming Skills: Advanced proficiency in Python and SQL. Experience with data manipulation and ML libraries (Pandas, PySpark, Scikit-Learn, PyTorch, or TensorFlow).
• Communication: Excellent ability to translate complex technical and statistical concepts to non-technical clinical and business stakeholders.

Nice to Have

• Cloud Certifications: Relevant Microsoft Azure or Fabric certifications.

Work Environment & Collaboration

• Full-time: 8 hours a day.
• Schedule: Mon – Fri 9-5 (US EST) overlap with team at least 4 hours.
• Team Structure: Work independently on assigned tasks with support from experienced team members.
• Communication: Primarily asynchronous via email and MS Teams.

We are looking for a Senior Product Analyst who will build the analytics function from zero, owning everything from event taxonomy and tracking plan to the warehouse architecture and the Tableau dashboards the product team checks every morning. You will be a true partner to the product team: co-author of product decisions, not a ticket-executor. You will shape hypotheses, run experiments, find the Aha Moments for different user segments, and ensure that every roadmap decision is grounded in data.

Requirements:

• 5+ years as a product / data analyst, including 3+ years in B2B SaaS
• Expert-level Amplitude, including hands-on implementation from scratch (event taxonomy, tracking plan, QA), not just using a pre-configured instance
• Expert-level Tableau, complex dashboards, LOD expressions, performance optimization, dashboard design for non-technical stakeholders
• Expert SQL, complex queries, window functions, data modeling for analytics use cases
• Proven experience building product analytics from zero: tracking plan, event taxonomy, naming conventions, data architecture
• Deep understanding of SaaS / PLG metrics: MRR, ARR, NRR, GRR, cohort retention, LTV, CAC, payback period, activation rate, expansion revenue
• Hands-on A/B testing experience: hypothesis design, power calculation, statistical significance, post-launch impact analysis
• Familiarity with the modern data stack: warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt)
• English: Upper-Intermediate or higher (written and spoken)

Strongly preferred:

• Experience in a PLG product with a self-serve trial model
• Python for deeper analysis, automation, and statistical work
• Hands-on with FastSpring or similar merchant of record platforms: subscriptions, MRR movements, refunds, failed payments
• Experience selecting and implementing an analytics stack end-to-end
• Familiarity with the sales-tech/outreach/LinkedIn automation space

Responsibilities:

• Design and document event tracking structure, tracking plan, and naming conventions aligned to real business questions
• Implement Amplitude from scratch, spec requirements with engineering, QA events, configure charts and dashboards
• Design and build the data pipeline: product events + backend DB + payment system -> warehouse -> Tableau
• Make foundational decisions on the full analytics stack (warehouse, ELT, transformation layer) with full ownership
• Become a true partner to the product owners, co-author of product decisions, not a ticket-executor
• Participate in discovery: shape hypotheses, design experiments, identify user segments' Aha Moments
• Run end-to-end A/B testing: hypothesis, sample sizing, statistical significance, post-launch impact analysis
• Inform roadmap prioritization with data; push back when the data says otherwise
• Identify the Aha Moment for different segments: sales reps, recruiters, agencies
• North Star metric + supporting KPIs dashboard
• Funnel analytics: registration -> activation -> trial -> paid -> retention -> expansion
• User Base Overview and Account Base Overview with drill-down by status and company
• Activation flow with step-by-step drop-off and time-on-step visualization
• Cohort retention, feature adoption, MRR movement (new/expansion/churn/contraction/reactivation)
• Build dashboards across the full customer lifecycle, from acquisition and activation to retention, expansion, and churn
• Build the analytics workflow: how requests come in, how insights flow back, how they feed into roadmap
• Create and maintain a metrics dictionary, data definitions, and ownership documentation
• Drive a self-serve culture, enable PMs to pull their own data without analyst bottlenecks

Work conditions:

• 100% remote position, providing flexibility and work-life balance.
• Competitive salary reflecting your skills and expertise.
• 24 days of paid vacation per year to recharge and relax.
• 10 days of paid sick leave.
• Educational opportunities.
• Compensation budget for medical and hobby/sport expenses.
• Generous budget for birthdays and anniversaries.
• Online and offline team events.
• A collaborative and innovative work environment with passionate team members.
   

Hiring process:

✅ Interview with Recruiter — ✅ Test Assignment — ✅ Final Interview with Head of Product and Operations — ✅ Reference Check — ✅ Offer 🎉