Jobs

Senior Angular (v18+) and TypeScript Developer needed. Join the team for a UK-based healthcare company that enables remote patient monitoring, clinical research, and personalized healthcare.

What You’ll Do:

• Design and develop front-end features using Angular and TypeScript
• Contribute to front-end architecture decisions, ensuring scalability, performance, maintainability, and long-term code quality
• Work closely with UX/UI designers, product owners, backend engineers, and other stakeholders to shape product solutions
• Review code, provide technical guidance, and support other engineers in improving solution quality
• Identify technical risks, propose improvements, and help reduce technical debt
• Contribute to frontend standards, reusable components, and engineering documentation

What We’re Looking For:

• 5+ years of experience in frontend development, with strong hands-on expertise in Angular and TypeScript
• Deep knowledge of Angular v18+ and modern Angular patterns
• Strong experience with RxJS and reactive programming patterns
• Solid understanding of scalable frontend architecture, modularization, reusable components, and maintainable code structure
• Experience with Angular Material, SCSS/CSS3, responsive design, and cross-browser compatibility
• Strong knowledge of RESTful APIs, HTTP, authentication flows, and web application security principles
• Experience with unit and integration testing using tools such as Karma, Jasmine, Jest, or similar frameworks
• Strong Git experience and confidence working in collaborative development workflows
• Ability to mentor other developers, provide thoughtful code reviews, and raise engineering quality across the team

Nice to Have:
• Experience with performance optimization tools and techniques such as Lighthouse, lazy loading, bundle optimization, and runtime performance profiling
• Familiarity with CI/CD pipelines and deployment automation
• Exposure to backend development or full-stack experience
• Knowledge of accessibility standards (WCAG) and testing frameworks like karma

• Experience working with design systems or shared component libraries

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown 100% year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Design and deploy intelligent chatbots using Foundry Workflows, Microsoft Agent Framework, OpenAI. Build and operate multi-agent orchestration pipelines with Azure AI Foundry and Model Context Protocol (MCP). Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements, collaborate across teams, and mentor junior engineers.

Responsibilities:

AI Agent & Chatbot Development

• Design, build, and deploy intelligent conversational agents using Foundry Workflows, Microsoft Agent Framework, OpenAI.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate business value of AI-driven solutions.
• Design agentic loops with task decomposition, state passing between agents, and workflow enforcement for multi-step ticket resolution.

• Implement structured error responses and graceful degradation in agent tool calls, including timeout handling, retry logic, and fallback cascades.

   

Data & Model Engineering

• Build and maintain data ingestion and indexing pipelines for Azure AI Search and Cosmos DB.

• Evaluate and optimize AI system performance for accuracy, scalability, latency, and cost-efficiency.

   

System Integration & Architecture

• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise PSA, Confluence, etc.) using RESTful APIs.
• Implement and maintain MCP servers (Model Context Protocol) for secure, typed tool integration between AI agents and enterprise APIs.
• Deploy containerized services to Azure using multi-stage builds and Azure Pipelines CI/CD.
• Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.

• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

   

Research & Innovation

• Stay current with evolving LLM technologies, frameworks and methodologies.

• Evaluate emerging tools and techniques to continuously improve solution quality and delivery speed.

   

Collaboration & Leadership

• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

• Mentor junior engineers and support knowledge sharing across the team.

   

Operational Excellence

• Take ownership of incident resolution, and bug fixes.
• Create and maintain technical documentation for AI systems, models, and integration workflows.

Requirements:

• English level — B2 or higher
• 5+ years of experience in AI engineering and .NET software development (.NET 10, ASP.NET Core/WebAPI, C#) with frontend experience in React 19 / Next.js 15 / TypeScript, with a focus on Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Strong expertise in embeddings, search, and prompt engineering.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini).
• Hands-on experience with Azure AI services (Azure AI Foundry, Azure OpenAI, Azure AI Search) and hands-on experience with MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with multi-agent orchestration patterns: coordinator-subagent workflows, maker-checker validation, signal-based confidence scoring, and context preservation across multi-turn interactions.
• Experience designing prompts with explicit evaluation criteria, few-shot techniques, structured output via JSON schemas, and validation/retry loops for reliable LLM responses.
• Awareness of AI-specific security concerns: PII handling, data boundary enforcement, prompt injection prevention, and compliance considerations (e.g., GDPR).

• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

   

Desirable Qualities:

• Understanding of AI solution architecture patterns: LLM gateway/service layer, retrieval layer, orchestration/agent layer, and evaluation/observability layer.
• Experience testing AI-enabled components using deterministic seams (mocked LLM clients, retrievers, tools), scenario-based tests, and regression/evaluation datasets for non-deterministic outputs.
• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
• Familiarity with AI/ML versioning practices: prompt version control with semantic tagging, evaluation baseline tracking, dataset versioning, experiment reproducibility.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Experience with Azure Cosmos DB, Azure Container Apps, Docker containerization
• Familiarity with CI/CD pipelines and DevOps practices.
• AI-102
• Experience with Application Insights telemetry, distributed tracing.
• Prior experience integrating AI agents with enterprise platforms like ConnectWise PSA, Confluence, SPO, etc.

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.

We are looking for a Senior Backend Engineer with strong expertise in C# and .NET Core.
You will work on a complex, evolving system, focusing on backend development, code quality, and performance improvements, while collaborating closely with the Tech Lead and the rest of the team.

Requirements

Backend
Strong proficiency in C# and .NET Core
Senior-level experience in backend development
Experience writing unit and integration tests, with a solid understanding of what should be tested and how to structure maintainable tests

Databases
Strong experience with MS SQL and/or PostgreSQL
Deep understanding of relational databases
Ability to write and optimize SQL queries
Experience with indexing and performance tuning
Experience working with ORMs and understanding how they interact with the database

Skills
Ability to quickly understand large legacy codebases
Strong problem-solving skills for complex and non-standard tasks
Attention to code quality, maintainability, and performance

Nice to Have
Experience with NHibernate

What We’re Looking For
Ukrainian candidates based outside of Ukraine
Middle+ or Senior level overall
Ability to quickly get up to speed in an existing system
Ownership and responsibility for your work
Proactive mindset and willingness to suggest improvements

Interview Process
Pre-screen interview
Technical interview
Interview with Product Manager

We are looking for an experienced Platform Engineer, PXE / CI / Image Registry

We build secure OS images for various types of AI hardware. These images are automatically built, scanned for vulnerabilities, signed, generate SBOMs, stored in a registry, and deployed on servers without manual installation.

This role is responsible for the automation and infrastructure behind this process: CI/CD pipelines, image builds, PXE boot, DHCP/TFTP configuration, registry workflows, signing keys, SBOM generation, and operational runbooks.

What This Person Will Build

•  CI/CD pipelines that build multiple Linux OS images in parallel
• AWS-based image builder infrastructure for x86 and ARM64 images
• PXE boot infrastructure so bare-metal servers can install themselves
• DHCP and TFTP configuration for boot-time server identification
• Harbor or OCI registry workflows for storing, tagging, promoting, and mirroring images 
•  Cosign signing, SBOM generation, and vulnerability scan gates 
•  Runbooks for bringing up new data-center sites and debugging failed boots or failed image builds

Must-Have Background

• Strong platform engineering, DevOps, SRE, or infrastructure automation background 
• Hands-on CI/CD experience with GitHub Actions, GitLab CI, Jenkins, Buildkite, or similar
•  Linux provisioning experience, ideally PXE, DHCP, TFTP, Kickstart, cloud-init, MAAS, iPXE, or bare-metal imaging
•  Experience with OCI registries, container images, artifact promotion, image signing, or SBOM tooling
•  Terraform, Ansible, shell scripting, and AWS infrastructure experience
• Good verbal and writing English language communication skills

Nice to Have

• Harbor, Cosign, Syft, Grype, Kairos, Ubuntu Pro, FIPS, bare-metal data-center provisioning, or edge-site deployments

We are looking for an Kong / Lua Engineer, API Gateway Hot Path. 

This role owns that hot path. It is a specialist API gateway and low-latency systems role.
 

What This Person Will Build 

•  Kong or OpenResty plugin logic in Lua
•  Request classification for inference, training, RAG, video, compute, and edge inference APIs
• JWT/OIDC tenant identity extraction and validation
•  Redis-backed quota checks, concurrency caps, routing lookups, and request metadata
•  Low-latency connection pooling and timeout behavior
•  Gateway observability: p50/p95/p99 latency, errors, Redis latency, routing decisions, and tenant-level behavior
•  Load tests and failure tests for Redis outage, malformed tokens, quota exhaustion, and routing-table updates
   

Must-Have Background 

•  Kong plugin, OpenResty, Nginx Lua, or high-performance API gateway experience
• Strong Lua or systems scripting experience in production traffic paths
• Redis experience with connection pooling, timeouts, failover, and latency debugging
• Understanding of JWT/OIDC, API gateway routing, tenant-aware request handling, and p99 performance
• Production mindset around hot-path safety, observability, and staged rollout
• Good verbal and writing English language communication skills
   

Nice to Have 

• Experience with Kong Enterprise, Envoy/Lua, Nginx, OpenResty, API security, rate limiting, or high-throughput SaaS gateways

We are looking for a Senior-level freelance engineer with proven, hands-on experience in backend and systems development (Python and C++) for drones, UAVs, or robotic platforms. This role involves building critical software that directly powers autonomous aerial operations, from onboard systems to mission control infrastructure.

What you’ll do

• Design and develop backend services for mission control and monitoring of autonomous drones
   
• Build reliable data pipelines to process and analyze telemetry in real time
   
• Implement and maintain communication protocols (MAVLink over UDP/TCP)
   
• Integrate with PX4 or ArduPilot flight stacks and extend/customize C++ components when needed
   
• Contribute to software deployment on embedded platforms (e.g., Raspberry Pi, NVIDIA Jetson)
   
• Collaborate remotely with robotics, hardware, and frontend teams to deliver end-to-end UAV solutions
  
   

You have

• Mandatory: production-level experience building software for drones/UAVs or robotic platforms
   
• Strong Python expertise (Asyncio, FastAPI/Flask, or similar frameworks)
   
• Solid C++ experience in robotics, real-time systems, or embedded development
   
• Practical experience with PX4 or ArduPilot flight stacks
   
• Hands-on experience with MAVLink protocol
   
• Strong understanding of UAV/robotics development workflows
   
• Experience working in Linux environments
   
• Hands-on knowledge of Docker and containerized deployments
   
• Git and version control best practices
   
• Experience designing and maintaining CI/CD pipelines
   
• Solid understanding of networking concepts (UDP/TCP, DHCP, traffic debugging tools)
  
   

Nice to have

• Experience with software deployment on embedded hardware platforms
   
• Experience with telemetry visualization or monitoring dashboards
   
• Familiarity with video streaming technologies (depending on the team assignment)
   
• Exposure to cloud-based infrastructure (AWS, GCP, or Azure)
  Prior work in Agile, cross-functional robotics teams
  
   

What we offer

• Freelance / hourly paid (long-term collaboration possible)
   
• Competitive rate based on expertise and contributions
   
• 100% remote & flexible working hours
   
• Direct involvement in cutting-edge UAV and robotics projects
   
• A motivated international team where your work has a real impact on live autonomous systems
  
   

👉 Proven PX4 or ArduPilot experience is required. If you bring practical UAV/drone software expertise (Python + C++) and understand real-world robotics workflows, we’d be excited to talk with you.

NuxGame is a dynamic IT company delivering top-tier software solutions for the iGaming industry. We empower operators of all sizes to expand into new markets, strengthen their existing brands, and achieve ambitious business goals.

We are looking for a DevOps TL to join our team. If you are passionate about building resilient infrastructure, leading talented engineers, and ensuring high availability for high-load systems, this is the place for you.

Tech Stack: AWS, Kubernetes, Terraform, Helm, GitHub Actions, VictoriaMetrics, Grafana, New Relic, Aurora, Redis, Cloudflare, Python/Bash.

Your Responsibilities:

You will be responsible for the reliability and scalability of our platform infrastructure, leading the team towards operational excellence.

• Team Leadership: Lead, mentor, and grow the DevOps team. Set technical priorities, optimize delivery workflows (hiring, performance reviews), and foster a culture of engineering excellence.
• Infrastructure as Code: Design and maintain scalable, multi-account AWS infrastructure using Terraform and Helm. Drive the adoption of GitOps practices for consistent environment management.
• Kubernetes Orchestration: Lead the development and support of high-availability EKS clusters, focusing on autoscaling, networking (CNI/Service Mesh), and resource optimization.
• Operational Excellence: Support continuous delivery through optimized CI/CD pipelines. Ensure 99.9%+ availability via robust monitoring, incident response protocols, and proactive system performance tuning.
• Security & Compliance: Strengthen security controls across the platform. Implement Zero-Trust principles, manage IAM/Secrets, and oversee Cloudflare security services (WAF, DDoS protection).
• Database Operations: Ensure reliability of stateful services (MySQL/Aurora, Redis), automating backups, failover strategies, and performance tuning.
• Cross-Functional Collaboration: Partner with Backend, Product, and QA teams to align infrastructure roadmap with business goals and eliminate bottlenecks in the development lifecycle.

What we expect from you:

• Experience: 5+ years in a DevOps role with 2+ years in a leadership position (managing team workflows, mentoring, reporting).
• AWS Expertise: Deep understanding of AWS ecosystem (multi-account organizations, advanced networking, security best practices, and cost optimization).
• Kubernetes Mastery: Advanced experience with EKS (HA networking, PodDisruptionBudgets, NodeGroups, Service Mesh, Cilium/eBPF).
• IaC & GitOps: Strong proficiency with Terraform (multi-environment modules) and GitOps tools (FluxCD or ArgoCD).
• CI/CD Strategies: Experience designing secure, scalable deployment pipelines (GitHub Actions, Jenkins) for PHP and Go applications.
• Observability: Expert knowledge of monitoring stacks (Prometheus, Grafana, Alertmanager, New Relic, Sentry) and experience designing custom metrics/alerts strategies.
• Security Fundamentals: Strong grasp of network segmentation, SSL/TLS, Secrets Management (AWS Secrets Manager/External Secrets Operator), and compliance basics.
• Automation: Proficiency in Python or Bash for creating operational tooling and automation scripts.

It will be a plus:

• Architecture: Experience with Multi-Region and Multi-Cloud architectures, cross-cluster networking, and disaster recovery strategies.
• Streaming Data: Experience with Kafka/MSK or other event streaming systems.
• Compliance: Experience with PCI DSS or equivalent compliance frameworks.
• Performance: Deep understanding of Linux internals and advanced caching strategies (Redis, Cloudflare, S3 tiering).
• Cost Management: Strong background in FinOps and cost optimization techniques across cloud providers.

Senior Backend Developer (PHP, Laravel)

NuxGame is a dynamic IT company delivering top-tier software solutions for the iGaming industry. We empower operators of all sizes to expand into new markets, strengthen their existing brands, and achieve ambitious business goals.

We are looking for a Senior Backend Developer to join our team. If you are passionate about high-load systems, solving complex engineering challenges, and working with modern tech stacks, this is the place for you.

Tech Stack: PHP 8, Laravel, MySQL, ClickHouse, Redis, Docker, AWS, SQS, WebSockets, Sentry, NewRelic.

Your Responsibilities:

You will be responsible for the core logic of our platform, focusing on speed, scalability, and stability.

• Core Development: Design and maintain high-load services and platform modules using PHP 8 and Laravel.
• Architecture & Quality: Write reliable, well-tested code. Participate in architectural decision-making and ensure technical stability.
• Feature Ownership: Take full ownership of your features from coding to release. You will deploy to the dev environment and perform sanity checks to ensure functionality before handing tasks over to our dedicated QA team for deep testing.
• Performance: Optimize database queries, implement caching strategies, and manage async processes/queues.
• Integrations: Build complex integrations with external services (payment providers, game aggregators, analytics) via REST and WebSockets.
• Documentation: Maintain up-to-date technical documentation for APIs (Swagger/OpenAPI), services, and architectural decisions.
• Cross-Functional Collaboration: Partner with the DevOps team to optimize delivery pipelines and work alongside Product & Analytics teams to implement scalable data processing solutions.
• Testing: Create automated tests (unit, integration, feature) to ensure the quality and stability of your code.

What we expect from you:

• Experience: 5+ years of commercial experience as a PHP Backend Developer.
• Framework Expertise: Deep understanding of Laravel and its ecosystem.
• Database Skills: Strong knowledge of SQL (MySQL/PostgreSQL), query optimization, and working with large volumes of transactional/analytical data.
• API & Protocols: Experience with HTTP, REST, WebSockets, and complex API integrations.
• Async & Queues: Experience with message brokers (SQS, RabbitMQ, or similar).
• Infrastructure: Practical experience with Docker and Linux environment.
• Observability: Familiarity with logging, metrics, and tracing (Sentry, NewRelic, DataDog, ELK, etc.).

It will be a plus:

• AI-Assisted Workflow: Experience with AI coding tools. We welcome a smart approach to AI to streamline complex tasks, from architectural design to documentation, development, and code refactoring.
• Leadership Experience: Experience in a technical leadership role (Tech/Team Lead, Mentor, Buddy) — sharing knowledge and guiding less experienced team members.
• Tech Breadth: Experience with Golang, Node.js, DDD (Domain-Driven Design).
• Analytics: Experience with analytical databases like ClickHouse.

What we offer:

We believe that a happy team builds the best products. Here is how we support you:

• Remote & Flexible: Work from anywhere. Our core hours are 09:00/10:00 to 17:00/18:00 (Kyiv time), Mon-Fri.
• Financial Stability: Timely payment for compensation for services
• Personal Equipment Policy: No tech troubles — a MacBook and all necessary equipment are provided for use to ensure comfortable and efficient work.
• Learning & Development: It is a pleasure for us to watch you grow. We cover your learning costs (courses, conferences).
• Knowledge Sharing: We regularly gather to discuss new trends, share insights, and elevate one another.
• Community: At NuxGame, you will work in a team of like-minded people who are ready to support, inspire, and tackle complex challenges together.
• Creative Freedom: We encourage initiative. With us, you have the freedom of professional expression and the space to implement your ideas.
• Time-off Policy: 24 vacation days per year + 5 sick days (without medical confirmation).
• Atmosphere: A friendly environment focused on results and mutual respect, free from unnecessary bureaucracy and pressure.

We believe in unlocking the inner potential of each team member within an open and democratic culture.

Waiting for you on our team! 

About

We are building an AI-native SaaS for real estate. The product is a PropTech SaaS platform where LLMs and AI agents are not bolted on top - they are the architecture. Owners, operators and guests interact with the AI system through natural language. AI autonomously generates compliance documents, routes staff, answers guest queries from RAG-indexed knowledge base in real time and orchestrates financial split-payments.

But the product is only half of it.

We are equally an AI-first engineering organization. The way we build is as differentiated as what we build. Our daily development loop - specification, implementation, code review, testing, deployment, on-call response - should run on a custom orchestrator of coding and operations agents. Human engineers operate at the level of intent, architecture, judgment and review. Agents should do most of the typing.

The role

This is the role that defines how that system works and how we build the product.

This is a hands-on technical leadership role at the core of the company's future, with a single defining characteristic: you will architect both the product development & testing approach and the AI based engineering system that builds it.

You will own the design, construction and operation of an internal AI-first development platform - the orchestrator, the agent fleet, the specification format, the evaluation harness, the CI/CD wiring - that lets a small team of senior humans ship at the velocity and surface area of a larger conventional team. You will decide what the human engineering team does, what agents do.

You will simultaneously own the production AI layer of the product itself - RAG pipelines, agent workflows, prompt strategy, vector memory - because the same intuition that makes the engineering org work makes the product work.

You will write production code daily. You will read agent diffs daily. You will build and tune evals continuously. 

We operate in a fast-moving startup environment where speed and precision both matter. You must be opinionated about which engineering tasks AI does well today, which it does not and how to close that gap inside our codebase deliberately.

What you will own & do

AI-First Engineering System (the differentiator)

• Build and operate the AI-first engineering system: design the orchestrator (task decomposition, agent coordination, review gates, deployment/rollback) and manage a fleet of coding, review, testing, and ops agents.
• Establish a spec-driven development model: convert product intent into machine-readable specs that agents can implement, test, and evolve reliably over time.
• Define governance and trust: set clear boundaries for agent autonomy vs. human approval, implement verification layers (evals, tests, canaries, traces), and codify standards as machine-readable rules.
• Continuously optimize performance and autonomy: run evaluation frameworks (A/B tests, drift detection, cost/latency tracking), make model/infra decisions, and increase the share of SDLC handled autonomously each quarter.

Technical Architecture & Strategy

• Define and own the full technical architecture of the SaaS platform: service boundaries, API design, data models and infrastructure
• Make fast, reasoned architectural trade-offs under startup timelines without accumulating critical technical debt
• Set the technical direction for AI integration in the product: the AI layer is a core product pillar not a feature.

Hands-On Engineering

• Write production-grade code - much of it through and alongside agents, all of it to your standard (stack to be defined).
• Build and maintain frontend interfaces where needed (stack to be defined). Own database design and query performance
• Design and ship real-time systems: live dashboards, event-driven pipelines.

Product AI & LLM Layer

• Own the end-to-end AI layer of the product (from prototype to production): lead adoption of new LLM tools, build and operate RAG pipelines, manage vector databases, and ensure only production-ready solutions are used.
• Design and orchestrate AI workflows and prompt strategies to power core use cases (guest chat, operator briefings, compliance docs, natural-language commands) while continuously evaluating and integrating cutting-edge AI capabilities.

Integration Layer

• At a certain point own the full integration architecture across all third-party systems - IoT platforms, smart locks, payment rails, government and regulatory APIs.
• Ensure the integration layer is reliable, observable and extensible - future integrations include additional regulatory APIs and secondary trading infrastructure.

Engineering Leadership

• Lead a small, high-caliber hybrid team (engineers + AI agents): set technical standards, run code reviews, unblock delivery, and ensure consistent execution under pressure while maintaining high quality.
• Act as the bridge between business and engineering: translate product needs into clear, agent-executable work, build an AI-first engineering culture, and mentor the team on effectively working with AI (what to delegate vs. retain).

Infrastructure & Reliability

• Own and build scalable infrastructure from scratch: set up CI/CD with agent participation, design cost-efficient cloud architecture and ensure production readiness for live operations.
• Implement full observability and reliability practices: monitoring, alerting, agent traceability, cost/latency tracking, API health and an on-call capable system that is transparent and controllable.

What we are looking for

Must have

• 5-7+ years in software engineering, with technical leadership experience of a team under direct supervision.
• Proven 0 → 1 experience - you have built AI first engineering teams, systems and architecture from scratch, not joined an already-scaled org.
• Strong production experience with modern backend ecosystems (TypeScript / Node.js or equivalent) - you can design and evolve service architectures at speed.
• Solid frontend engineering competence (React, Vue.js or equivalent) - enough to architect, review and unblock teams.
• Deep understanding of data layer design (relational databases such as PostgreSQL or equivalent), including multi-tenant architectures, performance and access control models.
• Proven ability to select, evolve and own the technology stack based on product needs, not trends.
• Comfortable working across the full stack when needed — but with clear architectural judgment on trade-offs
• Daily, deep, native use of agentic coding tools on real production codebases - not toy demos. You have shipped meaningful features where the majority of code was agent-authored under your direction.
• Hands-on experience designing or significantly extending an internal AI development workflow - orchestration of multiple agents, spec-to-PR pipelines, automated review, agent-driven test generation, or comparable systems.
• Production experience with LLM/AI integration in user-facing product - RAG pipelines, vector databases, prompt engineering, agent workflows. Features real users rely on, not demo projects.
• Rigorous instinct for evaluation - you treat LLM outputs as something to be measured, not trusted, and you have built evals to prove it.
• Demonstrable track record of integrating multiple complex third-party APIs into a coherent, stable product.
• Experience building real-time systems
• Comfortable setting up CI/CD and cloud infrastructure from zero.
• Advanced English - oral and written.

Strong advantage (Nice to have)

• You have built or open-sourced an agentic dev tool, orchestrator, eval harness or comparable internal-facing system.
• Familiarity with orchestration frameworks and agent observability tooling
• Experience in PropTech, Fintech, hospitality technology or multi-sided marketplace platforms.
• Background with IoT protocols and smart home device ecosystems.
• Experience integrating government or regulatory APIs.
• Familiarity with tokenization infrastructure or regulated fintech architecture.

Why this role

You will simultaneously build the first AI-native operating system for real estate in Dubai and the AI-first engineering org that ships it. Both are differentiators, both are hard and both are yours.

• Genuine architectural ownership - of the product and of the way we build it. This is not a “maintain and improve” role.
• Clear growth trajectory - this role evolves into Head of Engineering and eventually CTO. We are building that succession deliberately.
• Direct access to founders - short decision loops, no middle management, real influence on product direction.
• Technically ambitious surface area - AI agents, RAG, IoT, real-time systems, government API integrations and eventually (later) tokenization infrastructure. All in one product, all built by a system you design.
• Bonuses - we know how to appreciate the hard work. Bonuses will be assigned based on performance at CEO’s discretion.
• Equity participation - at a defined point you will own a share of what you build.
• Great office in the heart of Dubai’s business life - Once Central Plaza

The Role

We're looking for a senior backend engineer to design, build, and own the API platform that powers our biometric identity and payments product. The platform handles real-time device communication, payment processing across multiple providers, KYC verification, and a permission system that spans organizations, roles, and devices.

This is a backend role focused on API design, service architecture, and data modeling. You'll make decisions that shape how the platform scales — choosing service boundaries, designing schemas that hold up under load, and integrating with third parties without coupling our codebase to their failure modes.

You'll also contribute to our Python SDKs and on-premise deployment story, but the core of the role is the API platform itself.

You'll join a small backend team where your decisions shape the architecture.

What You'll Work On

Core — API platform:

• Designing service architecture and database schemas for new domains
• Shipping API features end-to-end: models, endpoints, async workers, admin tooling
• Optimizing PostgreSQL queries and ensuring zero-downtime migrations on a production database
• Building reliable third-party integrations (payments, KYC, SMS) with retries, error handling, and observability
• Maintaining real-time communication via WebSockets between the platform and physical devices
• Code review, testing, and security as a core part of how you work
• Contributing to Python SDKs that external developers integrate against
• Supporting on-premise deployments — packaging, configuration, environment-specific behavior
• Writing technical documentation: API references, integration guides

Tech Stack

• Languages: Python (primary), Go (supporting services)
• Frameworks: Django (core), FastAPI, Flask
• Databases: PostgreSQL, MongoDB, Qdrant, Redis, TimescaleDB
• Auth: JWT, OAuth2
• Infrastructure: Docker, Kubernetes (Helm), GitLab CI/CD, AWS (S3, KMS), Sentry
• Testing: pytest, factory_boy — 75% coverage enforced in CI
• API Documentation: OpenAPI / Swagger

What We're Looking For

You design systems, not just code features. You can take a vague problem — "we need to support a new payment provider," "we need a new permission scope" — and translate it into service boundaries, data models, and integration contracts. You've done this before: schema design, choosing between sync and async paths, knowing when to introduce a queue vs a direct call, and when an integration deserves its own service.

You know PostgreSQL well. Not "I've used the Django ORM." You design indexes for the access patterns you actually have, write migrations that don't lock production tables, read query plans, and recognize an N+1 in review.

You think of the API as a contract. Versioning, error semantics, idempotency, pagination, backward compatibility. Your OpenAPI specs match reality. You design endpoints that are obvious to consume.

You take testing seriously. You write tests that catch real bugs — integration tests against a real database, not mocks that mirror your assumptions. You test permissions, edge cases, and error paths. Test code gets the same care as production code.

You've run background tasks in production. Retries, idempotency, at-least-once delivery, race conditions in distributed workers. Dramatiq or Celery — the concepts transfer.

Code review is engineering, not gatekeeping. You catch N+1s, IDOR vulnerabilities, missing error handling, broken backward compatibility. You give actionable feedback — and accept review on your own code without ego.

Requirements

Required

• 5+ years of professional Python backend development
• Production experience designing service architecture and database schemas for new domains, not just adding to existing ones
• 3+ years building APIs with Django / DRF
• Deep PostgreSQL: schema design, indexing, query optimization, zero-downtime migrations
• Production experience with async task processing (Dramatiq, Celery, or equivalent)
• Working knowledge of Redis (caching, locking, pub/sub)
• Solid testing practices: pytest, integration tests, test architecture for complex systems
• Experience with Docker and CI/CD pipelines

Strong Plus

• FastAPI or Flask in production
• Payment provider integrations
• KYC / identity verification systems (Veriff or similar)
• Multi-tenant SaaS architecture
• AWS (S3, KMS, encryption)
• Building and publishing SDKs or client libraries
• On-premise / self-hosted product deployments
• Kubernetes and Helm
• OpenAPI specification design

What We Offer

• Direct impact on a product used by real organizations handling sensitive biometric and payment data
• Engineering challenges that aren't toy problems — distributed systems, multi-provider integrations, real-time communication, on-premise deployments
• Architecture-level ownership on a small team
• Low bureaucracy, high ownership

Project: A production-grade platform for deploying enterprise AI-powered voice and chat agents at scale. The system features real-time voice bots handling inbound/outbound calls, multi-agent orchestration, and telephony integration with sub-100ms latency.
- Architect and manage real-time voice pipelines processing concurrent calls.
- Implement multi-agent orchestration, state machines, and RAG pipelines.
- Build and scale multi-tenant distributed systems using asynchronous processing.
- Integrate telephony protocols (SIP/PBX) and real-time streaming technologies.
- Own the end-to-end system lifecycle from infrastructure and databases to monitoring.

Requirements:
- 10+ years of professional software engineering experience.
- Deep expertise in Python and asynchronous frameworks (asyncio).
- Solid knowledge of relational databases, vector databases, Redis, and message queues.
- Extensive experience in designing and scaling distributed systems and multi-tenant SaaS architectures.
- Hands-on experience with LLM orchestration, agent frameworks, and NLP.
- Experience with real-time audio/video, telephony/VoIP, and deploying self-hosted STT/TTS models.
- Proficiency with container orchestration, cloud storage, monitoring, and tracing tools.

Nice to have:
- Advanced expertise in WebRTC and real-time audio systems.
- Deep knowledge of PBX/SIP integrations.
- Experience with speech model optimization.
- Prior experience working in startup environments.

Full-time, 10-12 months, start in 3-4 weeks

Project Description:
Our client is building data- and AI-driven solutions in a cloud-first environment, with a strong focus on GCP, BigQuery, and large-scale data workflows. The current work is centered around exploring and defining new solution directions, especially in voice-related use cases, where architecture decisions must balance feasibility, scalability, and production readiness.
The environment is highly collaborative and cross-functional, bringing together technical leadership, data scientists, and engineering teams to shape complex solutions from early discovery through implementation.

We are hiring a Lead Data Engineer to help define and shape solution architecture for new data- and AI-driven initiatives.
This is an architecture-focused role working on GCP-based systems, big data modeling, and agentic / LLM-oriented solution design, with a strong emphasis on turning ambiguous requirements into clear technical options.
You will work on early-stage solution design, feasibility analysis, production architecture planning, and proof-of-concept preparation. The role is especially relevant for candidates with experience in voice data, call-agent systems, or similar real-time / unstructured data environments.

Responsibilities:

• Evaluate technical feasibility of proposed voice-agentic systems
• Design production-grade solution approaches on GCP, especially around BigQuery
• Work with large, unstructured datasets and define storage / transformation strategies
• Support solution design involving LLMs and agentic workflows
• Prepare architecture documentation and technical recommendations
• Help shape proof-of-concept direction and technical scope
• Collaborate closely with technical leadership, data scientists, and engineering teams
  
  
  Required skills:
  Tech Stack:
• Python
• GCP
• BigQuery
• SQL / data modeling
• Large-scale data systems
• LLM / agentic solution design
• Streaming systems (nice to have)
• Voice / call-agent environments (strong plus)

What We’re Looking For

• Strong experience with GCP and cloud-native architecture;
• Strong Python background;
• Deep understanding of big data, data modeling, and analytical storage systems;
• Experience designing scalable, production-oriented architectures;
• Ability to operate in ambiguous environments and translate ideas into solution options;
• Strong communication and documentation skills;
• Ability to explain trade-offs clearly and collaborate across technical streams.

Interview process:

• EnglishCheck
• Internal Tech Interview
• Interview with the client

Nice to Have:

• Experience with LLM / agentic system design
• Experience with voice, speech, or call-agent platforms
• Experience with streaming architectures
• Experience working closely with data scientists on early-stage solution design

James Cook Media, Inc. is looking for an Unreal Engine Technical Artist or 3D Artist with strong UE5 skills to compose photorealistic outdoor environments for an internal R&D simulation platform. You will own the visual quality of the project end to end: world building with geospatial terrain streaming and high-fidelity asset libraries, lighting and atmosphere design, asset modeling for in-scene actors, VFX, and the asset pipeline that ties it all together.

This is hands-on production work with strict performance constraints. Photorealism is the goal, but it has to ship within frame budget on consumer hardware. If you enjoy the craft of making real-world locations feel believable while staying disciplined about poly count and draw calls, this role is a good fit.

Engagement

• Type: Project-based contract or part-time
• Location: Remote, Ukraine-based
• Duration: ~3 months with possibility of extension
• Start date: May 15
• Compensation: Competitive, discussed during screening call

What you'll do

• Build photorealistic outdoor environments combining real-world terrain streaming with high-quality close-range asset libraries
• Author multiple lighting and weather presets per scene (clear, overcast, dusk, night) with full control over atmospheric and sky systems
• Model and material a small number of in-scene actors with proper LOD strategy, damage states, and material variants
• Author VFX for environmental effects and in-scene events
• Own the asset pipeline: import workflow, naming conventions, folder structure, LOD policy, texture compression, performance budgets
• Profile and optimize to hit interactive frame rates on consumer-class hardware at 1440p
• Collaborate closely with the engine programmer on integration, the engineering lead on requirements, and tooling team on in-editor authoring helpers

Required skills

• 5+ years of production 3D work in real-time engines, with at least 2 years in Unreal Engine (UE5 specifically preferred)
• Experience in geospatial streaming workflow (Google 3D Tiles, Cesium ion, georeference origin handling) or willingness to ramp up quickly with strong UE5 fundamentals
• Strong UE5 environment art skills - terrain blending, foliage placement, material variants, ground integration of imported assets
• Lighting and atmosphere mastery - dynamic and baked GI, sky and atmosphere systems, post-process, color grading, time-of-day systems
• Good understanding of performance trade-offs - draw calls, overdraw, shader complexity, LOD strategy, virtualized geometry
• VFX authoring at production quality
• Performance profiling with engine tools; ability to diagnose draw call, overdraw, and shader complexity issues
• Asset pipeline discipline: clean folder structure, naming conventions, version control hygiene
• Strong sense of composition and craft - the difference between dropped assets and an intentional scene

Nice to have

• Cesium for Unreal hands-on experience
• Quixel Megascans proficiency including Bridge integration
• Niagara for VFX authoring
• Lumen and Nanite production experience
• TSR and DLSS configuration experience
• Sky Atmosphere, Volumetric Clouds, Exponential Height Fog tuning
• Material authoring beyond defaults (custom shader graphs, layered materials)
• World Position Offset / Pivot Painter for foliage wind effects
• Previous work on simulation, training, or visualization projects (not just games)
• Familiarity with photogrammetry workflows
• Comfort with Blueprint scripting for editor utilities
• Git or Perforce experience

If parts of this stack are new to you but UE5 fundamentals are solid, that is fine - we have a structured ramp-up window in the first phase of the project.

Application process

1. Send us:
   • Your CV
   • Either a portfolio (link or PDF) demonstrating relevant UE5 outdoor environment work with photorealistic terrain and lighting, or be ready to complete a short test task (~4-8 hours)
   • A short note (5-10 sentences) on your favorite scene you've worked on and why
   • Availability and earliest start date
2. Initial screening call (30 minutes) - mutual fit, scope discussion, compensation, technical baseline questions
3. Portfolio review or test task (if no relevant portfolio piece) - a small, focused UE5 scene demonstrating a photoreal outdoor prototype. Detailed brief provided.
4. Final discussion (60 minutes) - we walk through your work together, discuss decisions, and finalize terms

We aim to make decisions within 2 weeks of receiving an application. Honest feedback at every stage.

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

We're looking for a Learning and Development Manager to ensure that employees have the knowledge, skills, and capabilities required to succeed in their roles, contribute to business performance, and adapt to evolving organizational and industry needs. You'll design and deliver learning and development initiatives that strengthen individual and organizational capability and support sustainable business growth.

At N-iX, this role owns end-to-end delivery of learning solutions, from identifying needs and shaping the approach to coordinating stakeholders, rollout, and reporting. The role operates across three key dimensions: enabling future-ready capabilities, supporting organizational clarity and process, and providing structured support for internal HR-related learning processes and requests.
The Learning and Development Manager treats L&D as a business function, ensuring that initiatives are practical, scalable, and clearly connected to business priorities.

Responsibilities:

• Identify and prioritize capability gaps required for current and future business success, with focus on both high-tech and high-touch skills
• Partner with business leaders and stakeholders to align learning initiatives with business priorities and growth needs
• Design learning solutions that strengthen leadership, communication, collaboration, client-centricity, business acumen, adaptability, and other future-relevant capabilities
• Support organizational clarity and process by designing and facilitating workshops, sessions, and practical learning support materials
• Support internal HR-related learning processes such as onboarding, mandatory learning, internal development requests, and other employee development initiatives
• Own end-to-end delivery of learning initiatives: planning, coordination, SME/vendor management, rollout, communication, and reporting
• Deliver training programmes, workshops, and facilitated learning sessions for employees and middle managers
• Stay updated with modern L&D methodology, EdTech, and AI; apply digital and AI-powered tools to improve content creation, learner support, reporting, and operational efficiency
• Assess the effectiveness of learning initiatives and use data and feedback to continuously improve quality, relevance, and business impact

Requirements:

• Master’s degree in Human Resources, Organizational Development, Education, Business, or a related field
• 5+ years of experience in Learning & Development or related areas such as Business Education, HR, Project Management, Organizational Development, or Change Management
• Experience in training and development in a leadership or managerial capacity
• Experience in designing, coordinating, and delivering learning initiatives for different target audiences
• Experience in managing end-to-end delivery of learning solutions and working cross-functionally with business leaders, HR, internal experts, and external vendors or partners
• Strong leadership, stakeholder management, and project management skills
• Strong communication, presentation, and facilitation skills
• Advanced / fluent written and spoken English
• Proficiency in instructional design principles and adult learning approaches
• Ability to identify learning needs and translate them into practical, business-relevant development solutions
• Ability to assess effectiveness and make data-informed decisions
• Familiarity with LMS, e-learning platforms, digital learning tools, and other training technologies
• Openness to innovation and ability to apply AI and digital tools in Learning and Development practice

Nice to have:

• Professional certifications related to training and development, facilitation, coaching, project management, organizational development, or similar areas can be an advantage
• IT industry-specific knowledge and understanding of the capability needs and learning requirements of a services business is an advantag
• Understanding of organizational effectiveness, people development, and business-oriented Learning and Development approaches is an advantage

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Chief Financial Officer (CFO)

Fintech / Payments / High-Risk | EU Structure

We are looking for a strong, hands-on Chief Financial Officer to lead the financial function in a fast-growing fintech company operating in payments, acquiring, and high-risk segments across multiple jurisdictions.

This is a key C-level role with direct impact on:

• financial architecture of the business

• liquidity and cash flow management

• financial transparency and control

• collaboration with Risk, Compliance, and Operations

• long-term scalability of the company

You will work directly with the CEO and executive team, helping shape a transparent, resilient, and scalable financial system.

Key Responsibilities

Financial Architecture & Structure

• Build and optimize the financial architecture of a multi-jurisdictional business structure

• Design and control fund flows between legal entities, providers, and partners

• Ensure alignment with regulatory, contractual, and tax requirements

• Support the development of a scalable and sustainable financial model for the business

Liquidity & Cash Flow Management (Fiat + Crypto)

• Manage daily liquidity across multiple payment flows

• Oversee payment calendars, balances, obligations, limits, and settlements

• Monitor and mitigate risks such as:

• liquidity gaps

• settlement delays

• FX exposure

• blocked or reserved funds

• Build financial scenarios and forecasting models (base / stress / growth cases)

Reconciliation & Financial Control

• Oversee and improve end-to-end reconciliation processes

• Ensure data accuracy across:

• transactions

• fees

• FX rates

• conversions

• settlements

• Identify anomalies, financial inefficiencies, margin leakage, and operational blind spots

Accounting, Reporting & Intercompany

• Build and manage intercompany financial models (loans, service agreements, fees, licensing)

• Supervise external accounting and financial reporting processes

• Ensure tax compliance and support transfer pricing logic where relevant

• Maintain financial discipline and reporting accuracy across jurisdictions

FP&A & Management Reporting

• Own and manage:

• P&L

• Cash Flow

• unit economics

• Lead budgeting, forecasting, and variance analysis

• Build clear management reporting and dashboards for leadership

• Provide the CEO with high-quality financial visibility and decision support

Cross-Functional Partnership

• Work closely with Risk, Compliance, Operations, Legal, and Business teams

• Integrate financial logic into key business and risk decisions

• Support topics related to:

• AML / KYT / Fraud

• reserves and rolling reserves

• chargebacks

• fund blocking and settlement exposure

Process Building & Automation

• Build transparent and scalable financial processes

• Document workflows and establish internal controls

• Introduce automation and improve auditability across the finance function

• Bring structure and clarity into complex financial operations

Requirements

Must-have

• 1.5+ years of experience in fintech / payments / acquiring

• Mandatory experience in high-risk segments

• Experience working in PSP / EMI / acquiring environments

• Strong understanding of international payment flows

• Experience with multi-jurisdictional business structures

• Hands-on experience with reconciliation and settlement processes

• Strong understanding of liquidity and operational finance in payments

• Ability to work both strategically and operationally

Nice to have

• Experience with crypto payments or hybrid fiat/crypto models

• Understanding of safeguarding / segregation of funds

• Experience with:

• chargebacks

• rolling reserves

• settlement risk

• Experience in regulated environments (EU / UK)

Leadership Competencies

• Strong leadership skills and ability to own the finance function end-to-end

• Experience building or developing teams across:

• Treasury

• Accounting

• FP&A

• Reconciliation

• Ability to collaborate cross-functionally with senior stakeholders
• Strong decision-making skills in a fast-changing, high-growth environment

• Strategic thinking with a deep understanding of how finance impacts the business

• High level of ownership, accountability, and business maturity

• Ability to structure complexity and create order in dynamic systems

• Strong communication skills and ability to translate financial logic into business decisions

⸻

Success in This Role Looks Like

• Stable and well-managed liquidity

• Transparent and accurate financial reporting

• No critical reconciliation or settlement errors

• Clear financial visibility for leadership

• Scalable, well-structured financial processes

• Strong partnership between Finance and the rest of the business

⸻

What We Offer

• C-level role with real business impact

• Direct collaboration with the CEO and executive team

• Opportunity to shape and build the finance function

• Fast-growing and ambitious fintech environment

• Flexible work format

• High ownership, visibility, and influence on strategic decisions