Jobs at Djinni

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

Join the Technology Consulting team and help clients modernize the way they work with data. We deliver end-to-end data platform and analytics solutions across cloud environments, working with international clients. Our team brings together data engineers, architects, analysts, and technology consultants who enjoy solving complex business challenges through modern technologies.

Are you a data professional ready to take the next step in your career, taking more ownership of data engineering projects, working with cloud technologies and modern data platforms, and starting to guide technical decisions?

As a Senior Data Engineer, you will:

• Co-design, develop, and maintain data pipelines using Databricks, Snowflake, Microsoft Fabric, and cloud-native technologies.
• Build and automate data ingestion, transformation, validation, and loading processes.
• Implement integrations between databases, applications, APIs, and cloud platforms.
• Work with both batch and real-time data processing solutions.
• Participate in cloud migration and modern data platform initiatives.
• Investigate technical issues and develop sustainable solutions.
• Prepare technical documentation and contribute to engineering best practices.
• Collaborate with business analysts, architects, developers, and testing teams.
• Support technical workshops and explain complex concepts to clients and stakeholders.
• Grow toward Lead Data Engineer or Data Architect career paths.

What matters to us:

• Solid experience in software development and data engineering.
• Practical experience with data warehousing, data lakes, Lakehouse architecture, data modeling, data quality, operational data store, or data mastering.
• Hands-on experience and certification in cloud platforms such as Azure, AWS, or GCP.
• Experience applying CI/CD, Infrastructure as Code, DevOps practices, or automated testing in real projects.
• Proven project delivery experience in at least one of the following technologies: Databricks, Snowflake, MS Fabric and Cloud technologies.
• Interest and initial hands-on experience with AI, LLMs, and AI agents, e.g. using APIs, prompt engineering, Knowledge Graph or RAG.
• Ability to independently translate technical designs into clear, client-friendly explanations, and confidence in leading technical workshops with clients or stakeholders.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

Overview

An international product-based iGaming company, a B2B game provider with over 12 years of experience in the market, is looking for People Business Partner who can operate close to the business, work directly with leaders on organisational challenges, and help maintain a high-performance environment without turning the company into a bureaucratic HR machine.

We are looking for someone who can:

– help leaders make strong people decisions;

– maintain high talent quality;

– identify organisational risks early

– and ensure leadership, hiring, and performance problems do not silently accumulate over time.

Main Responsibilities

– Partner with leaders on hiring, team structure, organisational effectiveness, performance, ownership gaps, and delivery risks.

– Push discussions toward decisions and outcomes instead of endless alignment loops.

– Help leaders define what “strong” actually means for critical roles and challenge weak hiring compromises.

– Support leaders in addressing underperformance early and directly.

– Identify early organisational signals such as leadership gaps, burnout, unhealthy dependencies, misalignment, or execution risks.

– Help improve feedback quality, leadership practices, and decision consistency across teams.

– Support practical and scalable organisational approaches instead of overcomplicated HR frameworks.

– Contribute to improving internal documentation, operational clarity, and AI-supported People knowledge infrastructure over time.

Mandatory Requirements

– 5+ years of experience in HRBP, Head of People, HRD, organisational partnership, or similar leadership-facing roles.

– Strong coaching experience (coaching managers/team leads on people-related matters, performance and development).

– Ability to challenge stakeholders directly, constructively, and without unnecessary politics.

– Practical AI usage in professional work (ability to use AI to improve/automate People processes and daily work).

– Upper-Intermediate English or higher, Ukrainian fluent.

– Strong judgment and ability to operate in ambiguous situations.

– High level of ownership, maturity, and communication clarity.

We offer

– Remote

– Medical insurance (+1 coverage option)

– Professional development reimbursement

– Online English classes

– Employee referral bonus program

– Opportunity to shape and scale modern People Operations in an international product company

BENAUR LLC is an international company that creates and operates offline entertainment projects across the U.S. and Europe, including museums in Chicago, Los Angeles, and St. Augustine (Florida). We are looking for an Accountant to handle the company's day-to-day accounting, prepare reports for the owner, and grow in U.S. accounting. 

Please note: English at B2 level or higher is required. You will communicate with U.S. counterparties in writing and on calls.

This is a fully remote position. Working hours: 11:00–20:00 Kyiv time.

Key Responsibilities

- Maintain day-to-day bookkeeping for the U.S. company
- Process invoices, payments, and accounting documentation
- Reconcile bank and card transactions
- Support accounting for Ukrainian FOP contractors
- Help prepare financial reports, including P&L and expense reports
- Prepare regular reports for the owner and present the results directly
- Prepare data and documents for the external CPA
- Communicate with U.S. counterparties in English, in writing and on calls

Requirements

- Proven accounting experience (required)
- English at B2 level or higher, written and spoken (required)
- Confident use of Excel or Google Sheets
- Ability to present numbers clearly and explain them to the owner
- Attention to detail and a structured approach to work
- Willingness to learn QuickBooks Online and U.S. accounting
- Willingness to learn AI tools and use them to automate routine tasks
- Ability to work independently in a remote team

Nice to Have

- Experience with Ukrainian FOP accounting (Group 2 and 3)
- Experience with QuickBooks Online or other U.S. accounting software
- Experience using AI tools (e.g., Claude, ChatGPT) in your work

What We Offer

- Compensation of $1,500–2,000 per month, fixed in U.S. dollars
- Direct work with the company owner
- Fully remote work
- Working hours: 11:00–20:00 Kyiv time
- Growth opportunities within the company's finance function
- Long-term cooperation and stability

If this role matches your experience, please send your resume. We look forward to meeting you!

 Tech Lead / Python AI Engineer / Engineering Lead / AI Architect.

Ideally, we would like to find someone based in Western Ukraine.

Across our practices, AI experimentation is organic: agents and accelerators get prototyped, they work, and they find their way to the teams who need them.

Working is not the same as dependable, tested, hardened, properly deployed, and fit for a regulated client. Closing that distance and turning experimentation into an engineering discipline is the job.

You will build and lead our AI engineering team: you, a Senior Engineer and a DevOps Engineer, and own the path from idea to production across every asset class.

You will work with SMEs within the practices to bring prioritised pilots into products that deliver return. You will be the final technical decision-maker on what ships. Roughly two-thirds of your week will be hands-on: architecture, coding and code review. The rest will focus on direction, hiring and the operating model.
 

Key Requirements

We are looking for someone who:

• Has strong experience building and owning products, rather than only completing technical tasks within outsourcing projects.
• Has 8+ years of engineering experience.
• Has strong Python experience, including production systems where Python was the primary language.
• Has strong Azure expertise and experience with production Azure workloads.
• Has hands-on experience with AI/LLM and agentic systems.
• Has experience taking products or platforms from architecture through production and ongoing operation.
• Has a player-coach background — able to lead engineers while remaining hands-on technically.
• Has strong English and communication skills.

Has experience working with regulated environments and implementing security/governance requirements in practice.
 

• Responsibilities
• Own the AI delivery operating model and the path from prototype to production — from intake and qualification through build, hardening and rollout across accelerators and client-facing IP.
• Build and lead the AI engineering team: hire two engineers, set standards, review code, unblock the team and support their growth.
• Work with SMEs across practices to design, build, deploy and maintain applications.
• Personally build, ship and harden agentic solutions and own the assets you oversee.
• Own architecture and production standards across solutions, including solution architecture, infrastructure, model selection and validation.
• Turn governance into engineering through policy-as-code, guardrails, evaluations and release gates running in the pipeline.
• Implement controls suitable for regulated clients without unnecessarily slowing down development.

• Embed AI capabilities across practices by working with automation, application engineering and consulting SMEs to create a path from prototypes to production.

   

What Would Set You Apart?

• Claude Certified Architect (Foundations or Professional).
• Microsoft Agentic AI Business Solutions Architect (AB-100).
• LLM or agentic systems already taken to production.

• Experience deploying accelerators or productised IP across multiple clients.

  
   

Location: Ukraine - preferably the western part of the country.

Budget: Up to €72,000 gross/year
 

About Us

Smirnov Labs is a fast-growing engineering company founded by an ex-Googler. We help product teams launch and scale quickly by leveraging modern technology and AI-assisted development.

Our projects are diverse — we partner with clients at the earliest stages and own the technical delivery end-to-end.

We're a small, senior-heavy team where every engineer has real impact. No bureaucracy, no hand-holding — just sharp people shipping fast.

This is an outstaff role: you'll be embedded directly with a client's engineering team as part of our delivery group.

The Role

Our client is a US healthtech startup whose AI platform helps dental patients understand, finance and book the treatment their dentist recommended. The product is live with dozens of practices and handles patient health data every day. The team is small, and the technical founder reviews every pull request.

The platform includes an AI treatment coordinator that answers patients' questions about their care, in text and voice. It's built and has been through several iterations, but it isn't in production yet — healthcare demands a higher bar. Your job is to get it there: build the evaluation harness, tune context and guardrails until the answers are safe and useful, then ship it. Next come agentic workflows, starting with booking appointments end-to-end. The agent runs in Python on Google ADK and Gemini; the product around it is TypeScript and Node.js, and you'll work across both.

What You'll Do

• Own the patient-facing AI assistant end-to-end — prompt and retrieval design, deployment, and monitoring in production.
• Build the eval harness: test sets from real patient questions, with automated scoring for safety, accuracy, resolution, number of turns, token cost and latency.
• Design guardrails for a healthcare setting: what the assistant may answer, what it must hand to a human, and how it treats sensitive data.
• Improve context passing — the patient's treatment plan, costs, insurance and history — so the model answers from facts, not guesses.
• Build agentic flows, starting with appointment booking against practice systems.
• Work across the stack: Python agent services, TypeScript/Node.js backend, React frontend, Postgres.
• Instrument LLM calls with logs, traces and metrics so regressions show up before patients see them.
• Work directly with the client's founder in a daily standup. No layers in between.

• Use AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) as part of your daily workflow.

   

What We're Looking For

• 5+ years of production software engineering, including LLM-powered features shipped to real users
• Python and TypeScript/Node.js in production
• Hands-on evaluation work: you've built eval sets and harnesses and used them to make launch decisions
• RAG and context engineering: embeddings, retrieval, prompt design, tool use
• Guardrails and failure handling for LLM output — you know how these systems fail and how to catch it
• Production experience with at least one major LLM stack (Gemini/Google ADK, OpenAI, Anthropic), and the judgement to swap models when it pays
• Working Postgres and React — enough to ship a complete feature alone
• A track record of shipping without a detailed spec and without process handed to you
• Working US Eastern hours (required): daily 10:00 ET standup and availability through the client's working day
• Upper-Intermediate or higher English — you'll talk to a US founder every day

• Ability to own and drive features independently with minimal supervision

   

Nice to have

• LLM work in healthcare or another regulated domain (insurance, finance, legal)
• Voice agents: speech-to-text, text-to-speech, telephony
• Handling sensitive personal or health data in LLM pipelines: redaction, access control, audit trails
• Google Cloud: Cloud Run, Vertex AI

• Early-stage or agency background: greenfield work, shifting requirements, direct client contact

   

What We Offer

• Competitive salary above market average
• Fully remote work
• Flat structure — work directly with the client's founder and engineering team, no middle management
• Real technical ownership: you make the architecture decisions on the systems you build
• Diverse and technically challenging projects
• Modern AI-powered development workflow
• Small team culture — your voice matters, your code ships
• Paid vacation and sick leave
• Flexible schedule within the US timezone overlap
• Professional and career growth through real ownership, not courses and certificates

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications and regulatory technologies. 

We are looking for a Media Buying Operations Specialist to join our team!

Requirements:

• Requirements
• At least 1–2 years of experience working with Meta and/or Google advertising infrastructure.
• Strong understanding of the Meta ecosystem, including:
  • Business Manager
  • Ad Accounts
  • Facebook Pages
  • Meta Pixel
  • Custom Conversions and Custom Audiences
  • System Users
  • Meta for Developers
  • Business Verification
• Understanding of the Google Ads ecosystem, including:
  • Google Ads Accounts and Manager Accounts (MCC)
  • Account linking and access management
  • Google Ads conversion tracking
  • Customer Match and audience management
  • Account restrictions and policy enforcement
• Experience working with agency ad accounts and Business Managers.
• Understanding of the full advertising account lifecycle: acquisition, setup, launch, maintenance, rotation, and replacement.
• Hands-on experience creating and managing Meta Pixels, Custom Conversions, and Custom Audiences.
• Experience managing Google Ads infrastructure, including account access, status monitoring, and troubleshooting.
• Understanding of Meta and Google advertising policies, account restrictions, and common reasons for account suspensions.
• Proficiency in Google Sheets and Microsoft Excel, including formulas, filters, and working with large datasets.
• Strong attention to detail and the ability to handle a high volume of repetitive operational tasks.

• Experience maintaining internal documentation and advertising infrastructure inventories.

   

Will be plus:

• Experience in affiliate marketing or media buying; iGaming experience is a strong advantage.
• Hands-on experience with Google Ads Manager Accounts (MCC), Customer Match, and Google Ads Audiences.
• Experience preparing and maintaining advertising account infrastructure for both Meta and Google Ads.
• Basic understanding of tracking platforms such as Keitaro, Binom, or similar solutions.
• Experience with anti-detect browsers, such as AdsPower, Dolphin Anty, Octo Browser, or Incogniton.
• Experience with Meta for Developers, including app creation, System Users, and Access Token generation.
• Basic understanding of API integrations with advertising platforms.
• Experience communicating with agencies, account suppliers, and external partners.
• Understanding of advertising financial operations, including top-ups, spend, agency fees, and account balances.
• Basic knowledge of proxies, domains, DNS, and advertising infrastructure.
• Experience with Google Analytics 4 (GA4), conversion data validation, and audience synchronization.
• Experience with Google Campaign Manager 360 (CM360) and advertising attribution.

Responsibilities:

     Meta Ads Infrastructure

• Procure, verify, warm up, and prepare accounts for launch.
• Manage Business Managers, Fan Pages, access, limits, and restrictions.

• Configure pixels, custom conversions, and audiences.

  Google Ads Infrastructure

• Receive, verify, and prepare accounts.
• Monitor account status, access, limits, and availability.

• Maintain account inventory and coordinate replacements.

  Account Management & Support

• Resolve account issues and manage appeals.
• Track bans, suspension reasons, and account lifetime.

• Ensure account availability for uninterrupted campaign launches.

  Planning & Reporting

• Forecast account needs by campaign volume and GEO.
• Maintain account inventories, CRM records, and status reports.

• Coordinate infrastructure readiness with Media Buyers.

  Financial Operations

• Monitor balances, advertising spend, turnover, commissions, and agency fees.

• Coordinate fund transfers with agencies.

  Tracking & CRM

• Monitor pixel activity, conversion tracking, and audience synchronization.
• Troubleshoot tracking issues with technical teams.
• Maintain accurate account, supplier, access, and infrastructure records.

Our benefits to you:

• Paid annual leave.
• Paid days off.
• RedCore TEAM corporate gamification system.
• Annual corporate events for employees.
• Reimbursement of business travel expenses.
• Flexible working format and start time.
• Employee learning and development system.
• Mentoring program.
• Overtime compensation.
• Referral program with a cash bonus.
• Corporate psychologist.
• Cafeteria benefit system: sports, insurance, language learning (depends on region).

Project: Software development for a Cardiovascular Ultrasound Scanner (heart and vessels).
Team: The team is a browser-based medical imaging product aimed at bringing the capabilities of the desktop application to the web. The system enables viewing, analysis, and processing of ultrasound studies and medical data. The team consists of several C++ developers, an Angular developer, a tester, a software architect, and a Scrum master.

Technologies:
- Windows OS
- TypeScript/Angular, REST API for frontend
- WebAssembly, C++ 17+ for backend
- QT, MFC for UI
- COM, ATL for interprocess communication
- SVN, Git as source control
- Visual Studio, CMake

Requirements:
- At least 4 years of professional desktop C++ experience
- Knowledge of modern C++ standards (C++ 17, 20, 23) and syntaxis
- Deep understanding of core C++ language
- Intermediate English level (written and spoken)

Will be a big plus:
- Knowledge of QT framework
- Knowledge of medical imaging concepts (e.g., DICOM, visualization)
- WebAssembly experience
- Basic C# knowledge

Responsibilities:
- Development of a new browser-based framework for the medical product
- Porting of C++ business logic via WebAssembly (WASM)
- Participation in architecture design for a greenfield product
- Collaboration with C++ and frontend devs, domain experts, and the product team
- Mandatory participation in Scrum meetings with the team

The Role

We’re looking for a GTM Engineer who combines B2B marketing understanding with hands-on technical skills to build AI-powered systems for lead generation and business growth. Working directly with our CEO, you’ll turn our GTM strategy, target audiences, and messaging into automated workflows that identify relevant prospects, detect buying signals, personalize outreach, and generate qualified sales opportunities.

This role sits at the intersection of growth marketing, automation engineering, and GenAI. It’s not a traditional marketing manager or a pure RevOps consulting position. We need someone who understands what makes B2B marketing effective and can build, launch, and improve the systems that make it work.

What You’ll Do

• Build AI-powered workflows and agents for prospect research, lead qualification, personalization, and nurturing.
• Enrich target-account and contact data using ICP criteria, buying signals, and relevant business information.
• Develop personalized LinkedIn and email outreach workflows, with human review before external messages are sent.
• Connect AI tools, data sources, CRM systems, and outreach platforms using APIs, webhooks, and automation tools.
• Build workflows for content creation, repurposing, distribution, and founder-led marketing.
• Track conversion from prospect identification to qualified leads, meetings, and sales opportunities.
• Analyze results and continuously improve targeting, messaging, and campaign performance. 

What We’re Looking For

B2B marketing and GTM

• Experience in B2B marketing, demand generation, outbound, growth, or GTM execution, preferably in the technology sector.
• Understanding of ICP, account-based marketing, buying signals, lead qualification, personalization, and nurturing.
• Ability to connect marketing activities with qualified leads, sales opportunities, and pipeline growth.

Technical and AI skills

• Hands-on experience building AI-powered workflows, automations, or agents.
• Experience with tools such as n8n, Make, Clay, Claude Code, or similar platforms.
• Understanding of APIs, webhooks, integrations, and structured data.
• Ability to troubleshoot workflows, validate AI outputs, and improve reliability.
• Python or JavaScript is a plus.

Tools and collaboration

• Experience with GTM, enrichment, or outreach tools such as Clay, HeyReach, or similar platforms.
• Familiarity with HubSpot or another CRM, LinkedIn Campaign Manager, and email outreach.
• Upper-Intermediate English (B2+) or higher. Our leadership and clients are US-based, and you’ll need to review and improve AI-generated content before it goes out.
• Strong analytical thinking, ownership, and willingness to execute independently. 

Who Might Be a Good Fit?

You might come from growth marketing, marketing operations, GTM engineering, automation engineering, or technical RevOps.

Your job title matters less than your ability to combine marketing judgment, technical implementation, and measurable business results. 

How to Apply
Along with your CV, send a short description of one GenAI or automation workflow you’ve built. Briefly explain the problem it solved, the tools and integrations you used, and the results it delivered. A short demo, workflow diagram, or project example is welcome.

What We Offer

• Direct collaboration with the CEO and ownership of GTM automation from the ground up.
• The opportunity to combine B2B marketing, engineering, and GenAI in practical business applications.
• Remote work across Ukraine or Poland, with the option to work from our office in central Lviv.
• A collaborative team working on challenging projects for US clients.
• Daily interaction with native English speakers.
• 18 working days of paid vacation, 10 working days of sick leave, and 11 paid Ukrainian public holidays.

We are looking for a skilled Backend & Integration Engineer to join our engineering team and support our CTO in implementing, scaling, and maintaining real-time video and data feed integrations with external B2B partners and platforms.

In this role, you will be responsible for connecting our Live Casino studio feeds to partner platforms using real-time data protocols (SSE, REST APIs) and managing ultra-low latency live video streams (RTMP, SRT, HLS).

Key Responsibilities

• API & Data Feed Integration: Implement and maintain reliable client-side integrations with partner APIs via Server-Sent Events (SSE) and RESTful services.
• Stream & State Management: Build resilient, idempotent state-handling mechanisms (de-duplication of events, recovery after disconnects, handling complex game lifecycle events like card rescans, cancellations, and shoe changes).
• Video Ingest & Streaming: Configure, troubleshoot, and optimize live video streams via RTMP / SRT protocols to ensure low latency and high quality (H.264, 1080p@50fps, AAC/Opus).
• Security & Infrastructure: Set up and manage secure connection channels, including mTLS (Mutual TLS) with client certificates, Bearer token authentication, and IP whitelisting.
• Testing & Quality Assurance: Validate integrations against partner synthetic test environments and oversee seamless go-live transitions.

Requirements & Qualifications

• 3+ years of experience in Backend Development using Node.js (TypeScript), Go (Golang), or Python.
• Strong understanding of Real-time Protocols: Server-Sent Events (SSE), WebSockets, and REST APIs.
• Solid experience with Network Security: SSL/TLS, mTLS (Mutual TLS), x509 certificates, Bearer tokens, and IP allowlisting.
• Hands-on experience with Live Video Streaming Protocols: RTMP, SRT, HLS, and tools/encoders like FFmpeg, GStreamer, or OBS.
• Deep knowledge of relational or key-value databases (Redis, PostgreSQL) for state retention, caching, and event de-duplication.
• Familiarity with video encoding standards (H.264, keyframe intervals, bitrate optimization, audio codecs like AAC/Opus).
• Experience writing production-grade, fault-tolerant code with automated reconnect mechanisms (exponential backoff, heartbeat watchdogs).
• Good written English for technical communication in partner chats and reading API documentation.

Nice to Have

• Prior experience in the iGaming / Live Casino / Betting domain.
• Experience with media servers (SRS, Nimble Streamer, Node Media Server, or Wowza).
• Understanding of WebRTC or ultra-low latency streaming technologies.

What We Offer

• Competitive compensation based on skills and experience.
• Fully remote work environment with flexible working hours.
• Direct collaboration with the CTO and technical leadership.
• Opportunity to work with high-concurrency, low-latency streaming infrastructure.

We're looking for a Senior Transformation Strategist to join a fast-growing AI company as the bridge between enterprise executives and an AI operations platform. You'll work directly with COOs, CFOs and operations leaders at major retail and CPG brands. Your job is to find and size the trapped value in their operational data, then turn it into a clear roadmap the platform delivers against. The role suits someone trained at a top-tier consulting firm who has owned real numbers in short, high-stakes cycles such as due diligence, value creation or portfolio operations. You'll combine executive advisory, commercial ownership and hands-on problem-solving, without a partner in the room. It's a rare chance to bring consulting-grade rigour into a product company and shape how AI changes enterprise retail operations.

Details:

• Schedule: Full time
• Location: Hybrid (London office + 3–4 days/week of travel to client sites) or remote in EU
• Start: ASAP
• Duration: Long-term
• English: Fluent

About the project:
The company is a freshly funded Series A startup of about 70 people building an AI operations platform for enterprise retail and CPG brands. Its AI agents work inside clients' operational workflows, automating decisions and unlocking value hidden in complex operational data. After building a strong customer base in Europe, the company is now expanding into the US market. The team combines AI engineering with deep commercial and operational know-how, and this role sits right where the two meet. The culture is fast-moving and builder-oriented, with short decision cycles and a real chance to shape strategy as the company scales.

You have:

• A top-tier consulting background (ideally McKinsey, BCG or Bain), with at least 2 years at Engagement Manager, Project Leader or Principal level
• At least 4 projects in the Retail or CPG domain
• A track record of owning a number (revenue, margin, cost or working capital) in short, high-stakes cycles such as due diligence, value creation or portfolio operations
• Proven commercial and sales skills, including authority-based selling to C-level executives (COOs, CFOs) without a partner present
• Strong executive communication and boardroom presence
• Strong business case modelling and the ability to structure messy data and do the maths live
• Willingness to travel to client sites 3–4 days a week

Nice to have:

• Experience with PE-backed portfolio operations
• Earlier hands-on years inside a retailer or grocer (category, trading, merchandising or supply chain, owning SKUs, suppliers or a P&L line) before moving into consulting
• A builder's streak: a product, startup or operating role you built outside of work
• Daily use of AI tools, with a view on why you pick particular models for particular tasks
• Background at firms like AlixPartners, Alvarez & Marsal, QuantumBlack, Palantir or Celonis

What to do:

• Work directly with customer executives to understand their operations and priorities
• Identify, size and prioritise the trapped value in clients' operational data and workflows
• Build business cases and turn opportunities into a clear, value-driven roadmap for the AI platform
• Own executive relationships and run commercial conversations, including selling to C-level leaders
• Lead short, high-stakes problem-solving cycles from diagnosis to recommendation to measurable impact
• Expand accounts by finding the next set of workflows to automate after the first wins
• Work with product and engineering teams so customer insights shape the platform roadmap
• Drive change management with client stakeholders so the solutions get adopted and keep delivering value
• Support the company's US expansion by building trusted relationships with new enterprise customers

Full Stack Developer (React/TypeScript/Go/Python)
 

Rate: Up to $20/hour
 

Frontend Tech Stack

• React 19 with TypeScript (strict mode), using Vite as the build tool.
• Tailwind CSS v4.
• shadcn/ui ("new-york" style with CSS variables), based on Radix primitives and Lucide icons.
• TanStack Router for navigation, TanStack Query for server-state management, and Zod for data validation.
• assistant-ui and Streamdown for building chat interfaces and streaming UI functionality.
• Testing tools: Vitest and Testing Library for unit tests, Playwright for end-to-end testing.
• Development tooling: pnpm, ESLint (including rules for enforcing import boundaries), and Prettier.
   

Backend

The backend is mainly developed in Go, with additional services written in Python.
 

Overall Technology Stack

Go, Python, PostgreSQL, Redis/Valkey, React 19 + TypeScript, GCP, Terraform, Docker, and Datadog.

Boosty Labs is a premier blockchain development company with broad technical expertise and over 150 highly skilled developers and strategists on the team. Founded in 2017, Boosty Labs has successfully completed 250+ projects and collaborated with numerous industry giants, including Ledger, Consensys, Coinbase, Samsung, MoonPay, and Storj.

We are seeking a Middle Project Manager to oversee the planning, execution, and delivery of Web3 projects. The ideal candidate will have a proven track record in managing technology projects, particularly in the blockchain or Web3 domain. This role requires a balanced mix of technical understanding and exceptional soft skills to manage teams and communicate with stakeholders effectively.

Requirements:
 

•  2-4 years of experience in project management, preferably in the blockchain/Web3 space or software development.
• Deep understanding of Web3 technologies, blockchain principles, and decentralized applications will be a plus.
• Exceptional communication, negotiation, and leadership skills are critical for this role.
• The ability to manage diverse teams, resolve conflicts, and foster a positive work environment is paramount.
• Strong analytical and problem-solving abilities, with a focus on proactive decision-making.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.
• Ability to set up and execute Agile practices
•  A strong commitment to understanding and addressing client needs, ensuring a high level of client satisfaction.

•  Upper-Intermediate English; additional languages are a plus.

   

  Responsibilities:
   

• Run several projects simultaneously                 
• Lead distant cross-functional teams, fostering collaboration and ensuring that all team members are aligned with project goals.
• Set up  and manage clients' expectations , providing minutes of meetings via email or Slack, regular status updates and weekly calls, reporting tools
• Identify potential risks and develop mitigation strategies to ensure project success.
• Define and control project scope, budget  and timeline during SDLC
• Utilizing Agile practiсes on the project and making sure that the team is following them
• Oversee the testing and quality assurance processes to ensure that deliverables meet the highest standards.
• Monitor customer satisfaction; surface growth opportunities and follow-ups. Perform people-management basics: feedback, motivation, conflict resolution.

What we offer: 

• Flexible working format (remote, office, or mix)
• Flexible working hours
• Informal and friendly atmosphere
• The ability to focus on your work: a lack of bureaucracy and micromanagement
• 20 paid vacation days
• 7 paid sick leaves
• Education reimbursement
• Free English classes
• Psychologist consultations

Recruitment process: Recruitment interview - Technical interview 

Senior Full Stack Developer (Python/TypeScript)
 

English: B1+
Rate: Up to $20/hour
Employment: Full-time
Duration: 6-8 months
Start: In 2-3 weeks
 

About the Project

A rapidly growing SaaS startup focused on transforming the professional services sector through AI-driven software that streamlines complex workflows involving documents, search, and matter management.
 

Responsibilities

• Take independent technical ownership of complex product and infrastructure features, from architecture and design through deployment.
• Develop and improve AI-powered workflows, including LLM agents, document processing, and tool calling.
• Architect reliable backend services, APIs, data flows, queues, and integrations with third-party systems.
• Investigate and troubleshoot complex production issues across the full stack using logs and tracing.
• Leverage AI development tools such as Claude Code, Cursor, and Codex in daily work to improve engineering efficiency and delivery speed.
   

Requirements

• 7+ years of commercial software engineering experience.
• Strong knowledge of Python with FastAPI (or comparable frameworks) and TypeScript with React.
• Advanced SQL skills and experience designing database schemas, ideally with PostgreSQL.
• Solid understanding of cloud platforms (Azure, AWS, or GCP), Docker, and CI/CD workflows.
• Strong architectural expertise in building reliable asynchronous systems, APIs, workers, and queues.
• Practical experience implementing and maintaining production LLM functionality, agents, prompt workflows, and RAG/search solutions.
• Hands-on experience with monitoring, metrics, observability, and tracing tools such as Datadog, PostHog, Langfuse, and OpenTelemetry.
• Demonstrated ability to independently deliver production-ready solutions from start to finish.

• Project Description:

  Looking for new members of Finance Partners team with excellent analytical skills and profound knowledge of all MS Office programs.

   

• Responsibilities:

  • Budgeting, forecasting, reporting by profit/cost centers on a regular basis
  • Analyzing the deviations, investigating the reasons for the latter, providing meaningful comments
  • Preparation of financial/statistical/analytical models and presenting them to stakeholders
  • Ad-hoc financial analysis (what-if analysis; FX, tax, market risk impact analysis etc)
  • Consulting stakeholders on financial questions
  • Constant support of internal systems with financial data

   

• Mandatory Skills Description:

  • Bachelor+ degree in Economics, Banking, Finance or related science
  • 2+ years of experience in Finance, Controlling preferably in an international company
  • Excellent communication skills
  • Advanced MS Office user (especially Excel and PowerPoint)
  • Attention to details, strong analytical and problem-solving skills
  • Strong Excel skills

   

• Nice-to-Have Skills Description:

  - Ability to work without supervision, under pressure of deadlines in a dynamic environment
   - Big4 experience will be a plus
   - VBA will be a plus

   

• Languages:
  • English: B2 Upper Intermediate
  • Ukrainian: C2 Proficient

Department/Project Description

GlobalLogic takes an opportunity to partner with a leading global threat intelligence platform to design and deliver an enterprise-scale, Human-in-the-Loop (HITL) AI agent platform. The initiative centers on accelerating expert analyst decision-making by augmenting high-complexity threat intelligence workflows with cutting-edge generative and agentic AI systems.


Job Description

Essential qualifications

• MSc or PhD in NLP, information retrieval or machine learning with publications, or equivalent industry research experience.
• 5+ years of applied ML, with models in production use.
• Deep experience fine-tuning transformer encoders with PyTorch and Hugging Face.
• Multi-label and imbalanced classification, probability calibration and threshold optimization.
• Learning from user feedback: learning-to-rank, active learning, bandit/exploration methods or counterfactual evaluation.
• Rigorous experiment design and statistical analysis.

Desirable qualifications

• ModernBERT or other long-context encoder models.
• Multi-stage ranking or recommender systems.
• LLM post-training (SFT, LoRA, DPO), reward or judge models, and reranker or embedding fine-tuning.
• Vertex AI Training and Pipelines.
• Experience in security, threat intelligence or fraud.

Job Responsibilities

Key responsibilities

• Fine-tune, evaluate and calibrate ModernBERT for multi-label alert classification and high-recall shortlisting.
• Design the two-stage triage cascade: model thresholds, the hand-off to the LLM, and how each stage is measured.
• Convert analyst feedback into training data through label cleaning, active learning and defined retraining criteria.
• Correct for selection bias through exploration sampling of rejected alerts and counterfactual evaluation.
• Design the dynamic few-shot strategy:
  how decision points are represented
  how examples are selected
  how conflicting or stale human decisions are handled.
• Define the feedback and reward schema with the Lead Agent Engineer.
• Set offline and online evaluation, and review retrained models before production promotion.