Jobs at Djinni

Required skills:
• Go, microservice architecture, PostgreSQL, Kafka
• REST and gRPC, mTLS integrations
• Kubernetes and ArgoCD at a confident operational level
• Hands-on experience integrating with external and legacy systems (Core Banking Systems (ABS), document management systems, state/government services)

Project:
Digital Banking for Corporate Clients and Sole Proprietors.

• Domain: SME Lending: digital credit pipeline in mobile app and web environments
• Phase Goal: Close the loop on the end-to-end digital loan issuance process. Currently, clients apply and receive credit decisions directly in the app, but must visit a branch to sign credit and collateral agreements.
• Scope of Work: Integration of the signing process with the core accounting/ledger system – E-signing of consents by individual founders operating outside the bank's client ecosystem – Development and design of the factoring process

• Methodology: SAFe, PI planning horizon (5 two-week iterations)

• Team: Distributed, working language — Russian

We are looking for an experienced Project Manager to drive project planning, execution, and delivery across two engineering streams: DMP (Data Management Platform) and OMS (Order Management System).

In this role, you will own project management lifecycle—focusing on scheduling, scope management, dependency tracking, risk mitigation, and delivery governance across distributed engineering teams in Ukraine and the EU. You will work in close partnership with Engineering / Team Leads and cross-functional teams to ensure predictable delivery and operational excellence.

Scope & Products Overview

1. Data Management Platform (DMP) — Process Optimization & High Influence

• Product: A backend-only Big Data platform handling high-volume order lifecycle processing, transformation, and reporting directly for the CTO.

• Team (~11 FTEs): 2 BAs, 4 Devs, 2 Manual QAs, 1 Automation QA, 1 Data QA, Data Governance Lead.

• Delivery Model: Hybrid model combining Waterfall release projects, Kanban continuous delivery, and Support workstreams.

• Environment: A young team (<4 years) offering higher autonomy to establish processes, plan execution, and drive delivery improvements.

2. Order Management System (OMS) — Established Execution & Scale

• Product: Next-gen trading platform re-engineering from scratch in the Capital Markets domain, providing streamlined workflows for trading professionals.

• Team (~25 FTEs): 1 PM (you), 4 BAs, 9 Devs, 7 Manual QAs, 2 Automation QAs, 1 UX Designer, DevOps support.

• Delivery Model: Customized Kanban workflow within SDLC.

• Environment: A highly mature team (>6 years) with well-established processes, focusing on structured execution and milestone tracking.

Key Responsibilities

• Project Execution & Ownership: Drive project execution from planning through monitoring to final delivery across both workstreams.

• Engineering Partnership: Partner closely with Engineering and Team Leads to align technical timelines with delivery milestones.

• Schedule & Scope Management: Own project timelines, track inter-team dependencies, monitor critical paths, and manage scope baselines.

• Process Governance: Apply tailored delivery frameworks—facilitating hybrid Waterfall/Kanban workflows for DMP and customized Kanban processes for OMS.

• Risk & Issue Mitigation: Maintain Risk Registers / RAID logs, proactively identify delivery bottlenecks, and drive timely resolution.

• Operational Transparency: Maintain status visibility, progress tracking, and key delivery metrics across distributed teams in Ukraine and the EU.

Required Qualifications

• Experience: 3+ years of project management experience in software engineering.

• Methodologies: Solid knowledge of PMBOK principles with hands-on experience applying Kanban, Waterfall, or hybrid delivery models.

• Domain & Scale: Experience in Capital Markets, Fintech, or High-Throughput Data Systems; track record of coordinating multi-team setups (30+ total FTEs).

• Stakeholder Management: Strong organizational skills with excellent cross-functional collaboration capabilities.

• Languages: Upper-Intermediate (B2) or Fluent English proficiency.

Preferred Qualifications

• Experience working with distributed international engineering teams.

• Familiarity with enterprise financial derivatives, equity trading systems.

Role overview

We are looking for a Manual QA Engineer to join the team of our growing Dutch client and help ensure a reliable, high-quality user experience across their e-commerce products. This role is a great fit for a QA professional who enjoys exploring how products work, spotting details others might miss, and investigating issues beyond the obvious user flow.

Requirements
 

•  Ability to work from our Chernivtsi office
   
• Commercial experience in manual QA at a Strong Junior or Middle level.
• Proven experience in manual QA testing of SaaS web applications
• Structured and thorough: you document what you tested and what you found
• Curious by nature: you look for edge cases and corner cases, not just the happy path
• Familiar with Jira or a similar issue tracker
• Good communicator in English (our working language); Dutch is a bonus but not required
• Self-directed: our team is remote and async-first; you manage your own time and flag
• blockers early
• Experience testing e-commerce platforms (Shopware, Magento, Shopify) is a strong plus
• Familiarity with API testing tools (Postman or similar) is a plus
• Experience writing automated tests is nice-to-have, not a requirement

Nice to have

• Experience with API testing and a basic understanding of SQL.
• Experience testing AI features or working with AI agents, including evaluating AI-generated output, prompts, and different AI scenarios.

Responsibilities

• Test new features and bug fixes on staging before every release
• Write and maintain test cases in Jira (we use Jira for all issue tracking)
• Reproduce bugs reported by customers (via Freshdesk support) and verify that fixes actually resolve them
• Test integrations with external platforms: Shopware, Magento 2, Shopify, NextChapter, and others as we add them
• Test AI content generation workflows — prompts, outputs, edge cases, multi-language content
• Test the company's workflow builder (visual block editor for content automation rules)
• Verify attribute management, product catalogues, and bulk operations work correctly end-toend
• Regression test existing functionality after each sprint
• Flag UX issues, not just functional bugs — if something is confusing, that counts as a defect too
• Work with our customer support team to stay on top of real-world failure scenarios from customers

About the role

We're building an on-premise AI platform that processes large volumes of multilingual documents and runs autonomous agents that gather and analyse information from open sources. Everything runs on our own hardware: self-hosted models, no external APIs.

You'll own the agentic layer: the LangGraph applications that plan, retrieve and reason, the prompt engineering behind them, and the evaluation that keeps their quality measurable.

What you'll work on

• Multi-step agents on LangGraph: planning loops, tool use, checkpointing, crash recovery, human-in-the-loop
• Prompt engineering with schema-constrained decoding, where every response is validated against a contract
• RAG pipelines: chunking, hybrid dense + sparse retrieval, citation-grounded generation
• Information extraction from documents into structured records
• Evaluation: gold sets, regression gates, scenario tests over full agent trajectories
• Prompt-injection defence: policy layers over tool calls, adversarial test suites

Stack

Python, LangGraph, FastAPI, vLLM, Qdrant, OpenSearch, Postgres, Kubernetes, MLflow, inspect_ai

What we're looking for

• 4+ years in Python, with at least 1 year building LLM-based systems in production
• Hands-on experience with an agent framework (LangGraph, Pydantic AI, or similar), something you've shipped rather than prototyped
• Solid RAG experience: you understand why retrieval quality, not model choice, is usually the bottleneck
• Practical prompt engineering: structured outputs, evaluation-driven iteration
• Experience with self-hosted inference (vLLM, TGI, Ollama)
• Strong engineering discipline: typed code, tests, reproducibility

Nice to have

Document processing at scale (OCR, layout extraction) · information extraction or knowledge graphs · LLM evaluation tooling · air-gapped environments · web crawling with robots compliance and rate limiting

We are looking for a Product Owner to research the business problems our clients face and turn findings into practical solutions. In this role, you will conduct in-depth research, analyze competitors and existing solutions, and identify the most promising approaches. You will work on solutions from scratch, starting with problem research and idea generation and continuing through creating interactive wireframes and prototypes, gathering feedback, validating solutions, and preparing them for development. Your work will cover a range of business challenges across different projects.

Requirements:
• 5+ years of experience in Product Management, Product Ownership, Business Analysis, or a similar role.
• Strong product discovery skills, including problem research, user research, market research, and competitor analysis.
• Ability to research business problems in depth, assess the reliability of sources, and turn findings into clear recommendations.
• Experience creating interactive wireframes and prototypes to demonstrate and test ideas.
• Ability to compare possible solutions, explain their benefits and limitations, and recommend an approach based on business needs.
• Practical experience using AI tools for research, analysis, or prototyping, and an understanding of where AI can add value to a proposed solution.
• Strong communication skills and the ability to explain findings and ideas to technical and non-technical audiences.
• Ability to work independently when requirements are unclear and the problem needs further investigation.
• English level B2+ for research, communication, presentations, and documentation.
Key Responsibilities:
• Explore the business problems our clients face, including user needs, current processes, and business constraints.
• Conduct in-depth online research into these problems, existing solutions, competitors, and relevant market trends.
• Summarize findings, identify gaps in available information, and highlight assumptions that need validation.
• Propose practical solutions, compare alternatives, and recommend the most promising approaches.
• Create interactive wireframes and prototypes to demonstrate proposed solutions and gather feedback.
• Present research findings and recommendations clearly, explaining the reasoning behind each proposal.
• Test assumptions and refine concepts based on feedback from users and stakeholders.
• Collaborate with designers, engineers, and relevant specialists to assess feasibility.
What do we offer:
• Flexible working arrangements in the Kyiv time zone;
• Paid vacations and sick leaves;
• Partial compensation for any sports activity;
• Medical insurance;
• Challenging, and fast-growing product;
• Opportunities to speak with clients and the development team only in English and free English classes;
• As a part of the team, you will be responsible for the production environments of the squad products that are used by thousands of customers worldwide.

Key Responsibilities

• Develop, maintain, and optimize high-performance web applications using Vue.js, Webflow, and Nuxt.js across legacy and modern codebases.
• Work with Vue 2 (Options API, Vuex 3) and Vue 3 (Composition API, Pinia), including migrations from Vue 2/Nuxt 2 to Vue 3/Nuxt 3/4.
• Build reusable, scalable frontend architecture and own features end-to-end, from BA requirements through development, testing, and release.
• Integrate REST APIs, authentication flows, payment systems, feature flags, complex forms, and third-party services.
• Optimize performance, Core Web Vitals, SSR/hydration, caching, lazy loading, and cross-browser compatibility.
• Implement technical SEO including dynamic metadata, JSON-LD, structured data, crawling, and indexing best practices.
• Work with Webflow, including website development and integration/migration between Webflow and Vue/Nuxt applications.
• Containerize and deploy applications using Docker/docker-compose and collaborate on infrastructure improvements.
• Write and optimize SQL queries and collaborate with backend teams on PostgreSQL/database requirements.
• Lead code reviews, establish frontend best practices, troubleshoot production issues, and mentor junior developers.
• Collaborate closely with UI/UX, Backend, DevOps, SEO, and QA teams across multiple frontend applications and APIs.

Qualifications

• 6+ years of frontend development experience, with 4+ years focused on Vue.js.
• Strong hands-on experience with Vue 2/3 and Nuxt 2/3/4, including SSR, SSG, middleware, plugins, and mobile deployment (React)
• Advanced JavaScript/ES6+ skills; TypeScript experience.
• Strong HTML5, CSS3, SCSS/Sass/LESS, Tailwind CSS, BEM, and CSS Variables knowledge.
• Experience with Vuex/Pinia, REST APIs/Axios, authentication, state management, and complex frontend workflows.
• Strong experience with Vite, Webpack, ESLint, Git, and modern frontend development workflows.
• Hands-on experience with Webflow.
• Experience with PostgreSQL or other SQL databases, including queries and basic schema design.
• Experience with Jest, Vue Test Utils, and Cypress or similar testing frameworks.
• Strong understanding of technical SEO and frontend performance optimization.
• Experience working with and refactoring large legacy codebases.
• Ability to work independently in a remote environment with strong communication and ownership.
• English of B2 level or higher

Bonus Skills

• Nginx configuration, including reverse proxy, routing, and multi-service deployments.
• Experience migrating Webflow websites to Vue/Nuxt.
• Quasar/Capacitor or other cross-platform mobile development experience.
• Analytics integrations such as GTM and tracking pixels.
• White-label or multi-brand applications built from a shared codebase.
• Basic backend knowledge with Node.js or Python.
• Familiarity with DevOps practices and CI/CD.

VIP Retention Manager 
 

Responsibilities:
Carrying out segmentation of the database and implementing remarketing strategies;
Compose and plan email newsletter campaigns;
Customers retention;
Ensuring all email campaigns comply with current email best practice in the industry;
Communication about promo events;
Promo plan preparation;
Preparing a technical task to designer and copywriter;
A/B Testing on various email campaigns to establish the most effective;
Tracking and reporting on email campaigns in order to guide improvements;
Analysis of current email marketing campaigns and making recommendations for improvement;
Analysis and monitoring of the main KPIs and CRM actions;
Creation of and execution of customer engagement/acquisition strategies in line with the company’s; marketing and financial objectives.

Requirements:
Customer-first mindset;
Analytical and strategic thinking skills;
Data-driven approach;
Knowledge of different CRM systems and experience in setting up the trial, and onboarding processes using them (Customer.io (http://customer.io/), Optimove, Xtreme push);
Engagement;
Prior experience in retention roles (1+ years);
Experience and knowledge working with main KPIs such as Churn Rate, Retention Rate, GGR, NGR;
Knowledge of analytical tools, including Google Analytics. Ability to analyze, interpret, draw conclusions and implement solutions to a variety of complex issues;
Excellent written communication and copywriting skills in English;
Work experience with chatbots and AI would be highly appreciated;
Responsibility for running end-to-end projects as required.
 

We offer:
-The opportunity for remote work from anywhere in the world.
-A friendly atmosphere and people who love their work.
-Managers interested in team member development.
-20 working days of vacation, 5 days off, and sick leave compensation.

About the Role

We are looking for a Retention Specialist who will take ownership of retaining the sports betting audience through a loyalty program, gamification, and event-driven and seasonal campaigns.

This is a full-cycle, hands-on role: you come up with the mechanics yourself, build them in Smartico (segments, journeys, bonuses, gamification), launch them, and analyze the results yourself.

An important part of the context: there is currently no direct lead overseeing this role, so no one will be assigning tasks to you. You will set your own priorities based on the sports calendar, retention metrics, and insights from the data. Later, a Lead of Sports Retention Tribe will join and you will become part of their team, but during the first few months, this role is best suited for someone who does not need daily management.

Vertical specifics: sports retention revolves around the sports calendar. IPL, World Championships, major tournaments, and other key events create peak periods that require preparation weeks in advance. Between these peaks, the audience needs to be retained through regular engagement mechanics. The ability to work effectively within this rhythm is at the core of the role.

Responsibilities
Sports Loyalty Program
Own the sports loyalty program: mechanics, tiers, rewards, and economics.
Continuously develop and optimize the program: identify what drives retention, what does not work, and what should be changed — all backed by data.
Ensure alignment between loyalty and gamification so that the mechanics reinforce rather than conflict with each other.
Gamification
Design and launch gamification mechanics in Smartico: missions, tournaments, achievements, and leaderboards tied to sports events.
Connect gamification with bonus mechanics and the loyalty program.
Iterate based on engagement results: a mechanic either improves the target metric or is discontinued.
Event-Driven and Seasonal Campaigns
Own the sports event calendar: plan campaigns for key events such as IPL, global tournaments, and local peak periods weeks in advance rather than reacting at the last minute.
Manage the full campaign cycle: idea → mechanics → segmentation → setup in Smartico → launch → post-campaign analysis and economics.
Run seasonal campaigns between major peaks to retain and engage regular users during quieter periods.
Prepare briefs for the Content team, including requirements for copy and creatives.
 

Segmentation & Experimentation
Work with sports audience segmentation based on RFM, activity, and lifecycle. Every campaign should have a clearly defined segment — no generic “send to everyone” campaigns.
Use control groups by default: campaign impact should be demonstrated through uplift, not just absolute numbers.
Run A/B tests of mechanics, offers, and communications.
Analytics & Reporting
Regularly monitor retention metrics for sports cohorts using Smartico Data Studio.
Conduct post-campaign analysis for every campaign, including engagement, uplift, bonus costs, and overall campaign economics.
Provide regular reporting to management on the performance of the sports vertical.

The bonus budget is managed at a higher level within the organization. You will plan campaign costs and justify their economics, while final approval remains with the manager.

Role Metrics
Sports cohort retention: D7/D30 redeposit rate among sports bettors.
Event activation: percentage of the user base engaged in event campaigns and their activity during peak periods.
Bonus cost efficiency: campaign uplift versus control groups and cost per retained player.
 

Requirements
2+ years of experience in Retention/CRM within iGaming, including mandatory hands-on experience specifically with the sports betting vertical. Be prepared to discuss 2–3 campaigns: the event, mechanics, target segment, and achieved uplift.
Hands-on experience working with a CRM platform. Smartico is a strong advantage; Optimove, Fast Track, and Symplify are also relevant. You should be comfortable working with segments, journeys, bonus mechanics, and gamification.
Strong understanding of the betting audience: what drives sports bettors, how their behavior differs from casino players, and how their engagement cycle is structured around sporting events.
Solid analytical foundation: cohort analysis, control groups, dashboard interpretation, and basic bonus economics.
High level of autonomy: ability to build your own work plan based on the sports calendar and performance metrics without relying on externally assigned tasks. This will be assessed through a case during the interview.
English: sufficient for reading documentation and handling day-to-day professional correspondence.
 

Nice to Have
Knowledge of the Indian market and cricket audience, particularly IPL as the key annual peak.
Experience launching or relaunching loyalty programs.
Experience with gamification modules such as tournaments, missions, and leaderboards.
Understanding of responsible gaming restrictions related to communications and bonuses.
What We Expect in the First 3 Months

Within the first three months, we expect you to have:

Built and implemented an event calendar covering the next quarter.
Launched several full-cycle campaigns with post-campaign analysis and control groups.
Conducted a diagnostic review of the sports loyalty program and developed a data-backed improvement plan, including its economics.

Performance will be evaluated based on retention metrics and campaign uplift — not on the number of campaigns launched.

We offer
Fully remote work opportunity
Enhanced leave benefits:
20 days of paid vacation
5 paid days off
14 paid sick leaves
Company clubs & communities
Celebration gifts for personal milestones
Corporate online events, raffles & challenges
Corporate English program
Corporate yoga classes
Team-building activities
Coworking compensation
Training and development programs (internal & external).

About the Role

Our client is looking for a senior design technology leader who has successfully built and implemented AI-first design and development workflows in a real production environment.

This is not a traditional Head of Design role, nor is the client looking for someone whose AI experience is limited to experimenting with new tools or improving individual designer productivity.

The core challenge is much more ambitious: redesigning how product design and development work together so that teams can move dramatically faster from idea → prototype → validated design → production-ready implementation.

The client has already explored different AI-assisted design approaches and tools. What they need now is someone who has gone beyond experimentation and has actually built systems, workflows, and operating models that work end to end.

You should be equally comfortable discussing design systems, product design workflows, frontend architecture, AI-assisted development, prototyping, and organizational change.

Your mission will be to help the client build an AI-native design organization where AI is embedded into the way products are designed and shipped, not simply added as another productivity tool.

What You'll Do

• Define and implement an AI-first design and development workflow across the client's product teams.
• Dramatically shorten the path from product idea to prototype, validated design, developer-ready implementation, and where appropriate, production-ready code.
• Build workflows that connect design tools, AI systems, design systems, component libraries, and real application code.
• Establish practical approaches for AI-assisted ideation, prototyping, UX exploration, UI generation, design-to-code, iteration, and implementation.
• Design systems and processes that allow designers and engineers to collaborate effectively in an AI-native environment.
• Evaluate and integrate emerging AI design and development tools based on production value rather than hype.
• Partner closely with design, product, and engineering leaders to identify bottlenecks and redesign how teams work.
• Help establish or evolve design systems that can be reliably translated into real product components.
• Create standards and guardrails that allow teams to move faster without sacrificing product quality, consistency, or maintainability.
• Coach designers and engineers on AI-native workflows and help drive adoption across teams.
• Measure the impact of these workflows on design and development speed, iteration cycles, and product delivery.

What the Client Is Looking For

• Proven experience building and implementing AI-first design and development workflows in a real production environment.
• Strong understanding of modern product design workflows and how design connects to engineering.
• Hands-on experience integrating AI tools into workflows spanning ideation, prototyping, design, and software development.
• Strong understanding of design systems, component libraries, and the relationship between design artifacts and production code.
• Enough technical depth to work directly with frontend engineers and understand how design systems are implemented in real applications.
• Experience turning experimental AI workflows into repeatable systems that other designers and engineers can actually use.
• Strong product and systems thinking: you think beyond individual tools and optimize the entire product development workflow.
• Ability to distinguish genuinely useful AI capabilities from demos, prototypes, and hype.
• Experience driving meaningful workflow or organizational change across design and engineering teams.
• Strong written and spoken English.

What the Client Will Care About Most

The client will be particularly interested in concrete examples of systems you have already built.

For example:

• What did the design and development workflow look like before you changed it?
• What AI tools, infrastructure, design systems, or internal tooling did you introduce?
• How did design artifacts connect to real application code?
• How broadly was the workflow adopted by designers and engineers?
• What parts reached production?
• What measurable impact did it have on iteration speed or time from idea to production?

A compelling demo is useful. A workflow that a real team has successfully used to ship production software is much more important.

Nice to Have

• Strong frontend engineering background.
• Experience as a Design Engineer, Design Technologist, Product Engineer, or similar hybrid design/engineering role.
• Experience building internal AI tools, agents, plugins, or automation for designers and developers.
• Experience with modern AI coding and prototyping tools.
• Experience building token-based or code-connected design systems.
• Experience scaling design systems across multiple products or engineering teams.
• Experience leading or building AI-native product, design, or engineering teams.

What Success Looks Like

Within this role, success means changing how the client's teams actually build products.

Designers should be able to explore and validate ideas faster. Engineers should receive higher-quality, more implementation-ready outputs. Design systems should connect more reliably to production code. Repetitive handoffs and manual work should decrease significantly.

Most importantly, AI-assisted workflows should become a real, repeatable part of how the organization ships software, not a collection of isolated experiments.

The result should be a measurable reduction in the time required to move from an idea to a high-quality product experience in production.

One of the biggest SportTech company infrastructure powers millions of live sports events worldwide – from raw video capture at remote venues to real-time stream delivery and ML-driven monetization. As a DevOps & Platform Engineer, you will be a core contributor to the reliability, scalability, and
operational excellence of our cloud platform.
You’ll work inside a self-service, pod-based engineering model where your job is to build the platforms, pipelines, and guardrails that let product teams ship independently – at high velocity and with full operational ownership. This is a high-autonomy, high-impact individual contributor role with a clear technical growth path.

Why you’ll working here:
• Real Impact: your decisions affect millions of fans, coaches, and venues globally.
• Unique challenges at scale: real-time video, K8S and CDN optimizations, from HW to SW.
• Ownership & Growth: high autonomy, influence platform strategy, clear path to leadership.
• AI-First Culture: cutting-edge AI tools, define how Pixellot leverages AI across engineering.

Join the Team!
If you’re passionate about Kubernetes, cloud infrastructure, and platform engineering – and want to buildself-service systems in a high-scale, 100% hands-on environment – we’d love to hear from you.
 

Requirements:

• 3–6 years in infrastructure, DevOps, or platform engineering roles
• Production-grade Kubernetes experience: EKS/GKE, GitOps (ArgoCD/Flux), service mesh, multi-tenant cluster operations, resource management
• Deep hands-on GitOps and CI/CD: ArgoCD or Flux, kustomize/Helm, rollout strategies, deployment safety, change ownership, audit trails
• AWS platform depth: EC2, EKS, S3, CloudFront, IAM/IRSA, VPC networking, RDS, cost optimization levers
• Platform engineering orientation – you think in platforms and self-service, not one-off scripts or manual runbooks
• AI-first approach – actively uses AI tools to accelerate development and operations; not just aware of them, but fluent
• Ownership mentality – own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact 2
• People leadership skills – You’ve hired, mentored, and grown engineers; conducted performance reviews; and built high-trust, high-performing teams
• Ownership & Communication – own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact

Bonus points if you have:
• GCP experience (GKE, GCS, Cloud Run) or hybrid multi-cloud operations
• Video streaming infrastructure: HLS, RTMP, CDN optimization, live video pipelines
• FinOps / cost optimization: cost attribution, right-sizing, storage lifecycle policies
• Development background (Python, Go, Node.js, or similar) 

Job responsibilities:

• Build and maintain GitOps-based delivery pipelines (ArgoCD) so product pods deploy safely without DevOps intervention
• Design and evolve self-service tooling – golden paths, deployment templates, scaffolding – that reduce pod dependency on the platform team
• Implement deployment safety guardrails: config diffing, change ownership, rollout strategies, and audit trails
• Leverage AI to accelerate development and delivery – leverage industry leading tools and our company’s agentic concepts to speed up development and operational workflows

• Project Description:

  Design, develop, test, and deploy enterprise AI agents, copilots, and multi-agent systems.

   

• Responsibilities:

  Build agents using Azure AI Foundry, Copilot Studio, or other approved frameworks, including Python-based frameworks where appropriate.
  Build or coordinate rapid prototypes and validate them with business users.
  Develop prompts, instructions, tool definitions, routing, and orchestration workflows.
  Implement grounding, citation, retrieval, context management, guardrails, and human-review patterns.
  Integrate agents with enterprise tools and APIs.
  Create automated evaluations and optimize answer quality, latency, reliability, observability, and cost.
  Support production troubleshooting, monitoring, feedback loops, and continuous agent improvement.

   

• Mandatory Skills Description:

  Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.
  5+ years of software development experience.
  2+ years developing generative AI, AI assistant, or agent-based applications.
  Strong Python skills and experience integrating REST APIs and cloud services.
  Experience deploying secure, testable enterprise applications.

   

• Nice-to-Have Skills Description:

  Experience with Azure AI Foundry and Copilot Studio.
  Experience with Semantic Kernel, MCP, multi-agent systems, or comparable orchestration frameworks.
  Experience implementing RAG, evaluation pipelines, citations, and tool-use controls.
  Azure AI Engineer or related certification

   

• Languages:
  • English: B2 Upper Intermediate

We are looking for a COO to oversee day-to-day operations, optimize business processes, and drive the company’s strategic growth. This role requires a strong leader with a proven track record in scaling operations, managing teams, and delivering results in fast-paced environments.

Responsibilities:

• Oversee daily operations across multiple departments
• Develop and implement operational strategies to support business objectives
• Monitor performance metrics and ensure operational efficiency
• Lead and mentor department heads, fostering a high-performance culture
• Collaborate with the leadership team to drive company growth and expansion

Requirements:

• 5+ years in senior operational leadership roles
• Experience in scaling businesses or managing operations in international markets
• Strong strategic thinking and decision-making skills
• Excellent communication and leadership abilities
• Fluency in English; other languages are a plus

What we offer:

• Fully remote position
• Competitive salary and performance-based bonuses
• Opportunity to shape operational strategy in a growing international business

Unity Space is looking for a Business Development Manager to help grow our software development and AI services across the US and European markets.

Key responsibilities:

• Identify and engage new B2B clients
• Run outbound outreach through LinkedIn, email, and other channels
• Work with ICPs and lead lists
• Conduct discovery calls
• Develop partnership and referral channels
• Manage leads and follow-ups in CRM

• Work directly with the CEO on sales strategy and larger opportunities

   

Requirements:

• Experience in B2B sales / business development
• Preferably experience in software development, outsourcing, or IT services
• English level B2/C1 or higher
• Experience working with clients in the US and/or Europe
• Ability to independently generate new opportunities, not just handle inbound leads

Job Description

• Must have demonstrated strong technical skill set in software development and a strong command of C, Networking and Embedded Linux.
• Ability to work within tight deadline. Self-motivated with analytical thinking and good attention to details.
• Awareness on WLAN, Ethernet drivers along with experience in TCP/IP, switching & routing, Ethernet, Bridging is required.
• Software development expereince using Git.
• 4+ years of experience in relevant technology
   

Nice to have:

• development experience WiFi Technology​
• experience with RDK-B/Yocto/OpenWrt
   

Job Responsibilities

• Work as a part of the C & Linux-Embeded team to develop reliable and scalable WiFi solutions.
• Actively participate in software design and code reviews.
• Expected to work independently with good problem resolving skills.
• Participate in team leadership - reviews, mentorship, and facilitation.
   

Department/Project Description

Our client is one of the United States largest high-speed Internet, video and phone providers to residential customers.

Mantah is looking for a QA Engineer to join an international project focused on API and integration testing for a financial services organization.

Customer — an international organization operating in the financial and protection services domain, providing customer-oriented solutions across multiple business areas and markets. The company focuses on digital capabilities, operational excellence, and technology-driven service innovation.
 

Project — a solution that develops and maintains an integration layer enabling seamless communication and reliable data exchange between core systems and multiple external platforms, supporting critical business processes.
 

Working schedule: from 9:00 AM to 6:00 PM CEST.

Technology stack: APIs, web applications, backend services, SQL, databases, enterprise integration patterns, React, PHP, Go, AI-assisted testing tools.
 

Responsibilities:

• Ensuring backend systems reliability and performance through functional and non-functional API testing;
• Owning the end-to-end quality of web and backend platforms;
• Creating, maintaining, and executing test plans and test cases across multiple browsers and platforms;
• Testing new features and providing actionable feedback to development and IT teams;
• Contributing to test strategies for API and integration testing;
• Analyzing and troubleshooting issues, documenting findings, and working with relevant teams on their resolution;
• Identifying opportunities to improve software quality and optimize API testing processes.
   

Requirements:

• 3+ years of commercial experience in software testing;
• Strong experience creating API requests, reviewing API documentation, and designing comprehensive test scenarios covering functional, non-functional, performance, and reliability aspects;
• Hands-on experience designing and executing test strategies for APIs, integrations, and database-level validations;
• Strong understanding of backend systems, databases, SQL, and system architecture fundamentals;
• Experience with test planning, design, and execution for both frontend UI and backend services;
• Solid understanding of enterprise integration patterns and workflows;
• Hands-on experience testing modern web applications and eCommerce platforms;
• Familiarity with Spec-Driven Development and AI-assisted delivery practices;
• Hands-on experience with AI tools such as Claude for generating and reviewing test scenarios, test cases, automation scenarios, and QA documentation;
• Ability to critically evaluate AI-generated outputs, identify gaps and edge cases, and ensure alignment with business requirements;
• Experience using AI to improve testing efficiency while maintaining high-quality standards;
• English level — Upper-Intermediate or higher.
   

Will be a plus:

• Hands-on testing experience with applications built using technologies such as React, PHP, Go, or similar technologies.