DOIT Software

We are seeking a skilled Front-end React Developer who can perform some back-end tasks (Nest.js) if needed. This is a full-time, long-term project with our client from Norway.

‼️ Important: The client would like the developer to come to Norway for onboarding for a few weeks/month (for onboarding, personal introduction). The client will cover all the expenses related to this. ‼️

About the project: The client is working on developing a product for the maritime industry that will analyze and help plan energy-saving measures to reduce fuel use and greenhouse gas emissions and, accordingly, reduce the taxes that ship owners currently pay for their environmental footprint.

Requirements and details:

• Minimum 4 years of experience in software development.
• Experience with the required technologies: React and TypeScript (highest priority); Nest.js comes secondary.
• Experience with Microsoft SQL Server and TypeORM.
• Experience with Azure.
• Minimum Upper-Intermediate level of English.
• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — asap.

Frontend (React + TypeScript)

• React patterns: Hooks, composition, controlled/uncontrolled forms, states, and error boundaries.
• Tooling: Vite, ESLint/Prettier, code-splitting, lazy loading, asset optimization, Core Web Vitals, and MUI library.
• API clients: OpenAPI-first workflow; experience with generators like Orval and typed clients.

Backend (NestJS + TypeScript)

• Modular architecture: Modules, providers, DI, guards, interceptors, filters, pipes, and middleware.
• API design: REST standards, versioning, idempotency, pagination, consistent error contracts.
• AuthN/Z: JWT, role/permission models, secure headers

Data & Database

• TypeORM with Microsoft SQL Server (Azure SQL Database): Schema design, relations, migrations, indexing, and query performance.

CI/CD & Cloud

• GitHub Actions: Design and maintain reusable workflows for frontend and backend (build, test, lint), caching, secrets, environments, and required checks on PRs.
• Deployment pipelines: Automated deploys to dev/staging/production, integration of database migrations, basic rollback strategies, and approval gates.
• Azure App Service (Web App): Slot deployments (blue-green/staging), app settings and connection strings, health checks, and basic scaling (scale up/out).
• Azure SQL Database: Environment setup (dev/prod), connection management (firewall rules, private endpoints or equivalent), and backup/restore basics.

Observability, Security & Compliance

• Telemetry: Azure Application Insights logs/metrics/traces, dashboards, and alerting (SLOs/error budgets).

We’re looking for an Applied AI Engineer who combines strong ML fundamentals with the discipline of improving production AI systems through metrics, evaluation, and iteration.

This role is hands-on, product-focused, and collaborative with the AI platform lead.

The role in a nutshell

You’ll work on improving production AI systems through evaluation, experimentation, and system design.

A large part of the role involves:

• diagnosing failures in agent workflows
• designing evaluation metrics and KPIs
• improving system prompts and agent behavior
• running structured experiments and measuring impact

You won’t be working in isolation on research projects — you’ll be improving systems that real users depend on.

Rough responsibility breakdown:

• AI evaluation and KPI design — ~30%
• Prompt and agent system design — ~30%
• ML systems (recommendation, optimization, etc.) — ~30%
• Engineering integration — ~10%

What you’ll work on:AI evaluation and system quality

• Design evaluation strategies for LLM and agent workflows
• Create metrics and KPIs for AI system performance
• Build and maintain evaluation datasets
• Debug production AI failures systematically
• Compare system behavior against baselines

This is a core responsibility of the role.

Multi-agent AI systems

• Improve agent orchestration and workflows
• Diagnose failures across agent pipelines
• Refine system prompts and agent interactions
• Improve reliability, latency, and response quality

ML and AI systems

You’ll contribute to areas such as:

• Recommendation systems (ranking and personalization)
• Itinerary optimization and constraint-based planning
• LLM-based reasoning systems
• Optional: computer vision pipelines

Depth in one of these areas is more important than superficial experience in all of them.

Engineering collaboration

We use:

• Golang (primary production language)
• Python when necessary for ML workflows
• Postgres, Redis, and internal services

You don’t need to be a Go expert on day one, but you should be comfortable reading and modifying production code.

Backend engineers handle infrastructure-heavy service development — your focus is AI system behavior and correctness.

What we’re looking forMust-haves

Strong AI/ML fundamentals You understand the theory behind what you build and can choose appropriate methods for a problem.

Examples:

• evaluation metrics (precision/recall/F1/etc.)
• ranking and recommendation concepts
• embeddings and similarity
• experimentation methodology

Not required:

• academic publications
• advanced theoretical math
• large-scale model training experience

Evaluation-driven mindset You:

• think in metrics and baselines
• design experiments instead of guessing
• measure system improvements quantitatively
• debug failures methodically

This is the most important signal for the role.

Experience with LLM systems You’ve worked with:

• prompt design
• agent workflows
• evaluation of LLM outputs
• production LLM integrations

Ability to ship production systems You can:

• turn ideas into working systems
• iterate based on results
• balance exploration with delivery

Programming ability You’re comfortable writing production code in at least one language (Python, Go, or similar) and learning others when needed.

Strong signals (nice to have)

• Experience improving an AI system after deployment
• Recommendation systems or ranking experience
• Optimization or constraint-based systems
• Computer vision experience
• Experience building evaluation frameworks
• Golang experience
• Startup or small-team engineering experience

This role may not be a fit if

• You are looking for a research focused role without production deployment
• You rely heavily on frameworks without understanding fundamentals
• You’re uncomfortable working with partially-defined problems
• You prefer narrow specialization over product ownership

We are looking for an Autonomous Systems/Embedded Software Engineer to join a technology company specializing in navigation hardware for aerial vehicles.

The company fosters a fast-paced startup culture with direct communication, a flat hierarchy, and minimal bureaucracy. You will work with people who value the Growth Mindset, embrace challenges, aren’t afraid to learn from mistakes, and focus on finding solutions rather than pointing fingers.

The company actively integrates automation and AI technologies into all company processes to be 10x more efficient, reduce routines, and free up time for creative jobs.

Key responsibilities:

• Lead software R&D and integration of hardware components designed for UAV platforms.
• Move products from the early concept phase to manufacturing, delivery, support, and maintenance.
• Design and build system architecture — from application to infrastructure, prioritizing security and execution speed.
• Write clean, modular, and secure code, providing proper documentation when necessary.
• Drive reliable software delivery through automated testing and deployment pipelines.
• Developing software and hardware in the loop simulations for testing the algorithms before performing actual flights.
• Perform outdoor field tests.
• Work closely with hardware and machine learning teams to ensure real-time data processing.
• Enhance your capabilities with LLM assistants and other automations to multiply your efficiency.

Required skills:

• Continuous learning and a growth mindset.
• Self-agency in conducting research and solving problems.
• Track record of successfully developed products.
• Minimum of 3 years of commercial experience in software development. A combination of low-level programming (C, C++) and high-level programming (Python, Java, JavaScript).
• Fluency with Linux, Docker, and Bash.
• Experience in signal processing.

Preferred qualifications:

• Experience with embedded systems programming and RTOS.
• Programming experience for Ardupilot.
• Experience with MAVLink protocol.
• Data and communication encryption concepts.
• Experience with reliable development tools: static code analyzers, profilers, unit testing, continuous integration/deployment pipelines, version control systems..
• Experience with AWS tools (or other cloud service providers).
• Experience with UAVs, robotics, and RC piloting.

Key measures of success:

• Quality assurance of produced systems and the number of hardware issues in operation
• Accountable roadmap delivery
• Autonomy during task implementation
• Clear documentation

Note! When possible, add a portfolio with your application — include any shareable code examples, app interfaces, product photos, technical docs, system diagrams, or demo videos that show off your skills.

We are seeking a skilled Front-end React Developer who can perform some back-end tasks (Nest.js) if needed. This is a full-time, long-term project with our client from Norway.

‼️ Important: The client would like the developer to come to Norway for onboarding for a few weeks/month (for onboarding, personal introduction). The client will cover all the expenses related to this. ‼️

About the project: The client is working on developing a product for the maritime industry that will analyze and help plan energy-saving measures to reduce fuel use and greenhouse gas emissions and, accordingly, reduce the taxes that ship owners currently pay for their environmental footprint.

Requirements and details:

• Minimum 4 years of experience in software development.
• Experience with the required technologies: React and TypeScript (highest priority); Nest.js comes secondary.
• Experience with Microsoft SQL Server and TypeORM.
• Experience with Azure.
• Minimum Upper-Intermediate level of English.
• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — asap.

Frontend (React + TypeScript)

• React patterns: Hooks, composition, controlled/uncontrolled forms, states, and error boundaries.
• Tooling: Vite, ESLint/Prettier, code-splitting, lazy loading, asset optimization, Core Web Vitals, and MUI library.
• API clients: OpenAPI-first workflow; experience with generators like Orval and typed clients.

Backend (NestJS + TypeScript)

• Modular architecture: Modules, providers, DI, guards, interceptors, filters, pipes, and middleware.
• API design: REST standards, versioning, idempotency, pagination, consistent error contracts.
• AuthN/Z: JWT, role/permission models, secure headers

Data & Database

• TypeORM with Microsoft SQL Server (Azure SQL Database): Schema design, relations, migrations, indexing, and query performance.

CI/CD & Cloud

• GitHub Actions: Design and maintain reusable workflows for frontend and backend (build, test, lint), caching, secrets, environments, and required checks on PRs.
• Deployment pipelines: Automated deploys to dev/staging/production, integration of database migrations, basic rollback strategies, and approval gates.
• Azure App Service (Web App): Slot deployments (blue-green/staging), app settings and connection strings, health checks, and basic scaling (scale up/out).
• Azure SQL Database: Environment setup (dev/prod), connection management (firewall rules, private endpoints or equivalent), and backup/restore basics.

Observability, Security & Compliance

• Telemetry: Azure Application Insights logs/metrics/traces, dashboards, and alerting (SLOs/error budgets).

We are looking for an Autonomous Systems/Embedded Software Engineer to join a technology company specializing in navigation hardware for aerial vehicles.

The company fosters a fast-paced startup culture with direct communication, a flat hierarchy, and minimal bureaucracy. You will work with people who value the Growth Mindset, embrace challenges, aren’t afraid to learn from mistakes, and focus on finding solutions rather than pointing fingers.

The company actively integrates automation and AI technologies into all company processes to be 10x more efficient, reduce routines, and free up time for creative jobs.

Key responsibilities:

• Lead software R&D and integration of hardware components designed for UAV platforms.
• Move products from the early concept phase to manufacturing, delivery, support, and maintenance.
• Design and build system architecture — from application to infrastructure, prioritizing security and execution speed.
• Write clean, modular, and secure code, providing proper documentation when necessary.
• Drive reliable software delivery through automated testing and deployment pipelines.
• Developing software and hardware in the loop simulations for testing the algorithms before performing actual flights.
• Perform outdoor field tests.
• Work closely with hardware and machine learning teams to ensure real-time data processing.
• Enhance your capabilities with LLM assistants and other automations to multiply your efficiency.

Required skills:

• Continuous learning and a growth mindset.
• Self-agency in conducting research and solving problems.
• Track record of successfully developed products.
• Minimum of 3 years of commercial experience in software development. A combination of low-level programming (C, C++) and high-level programming (Python, Java, JavaScript).
• Fluency with Linux, Docker, and Bash.
• Experience in signal processing.

Preferred qualifications:

• Experience with embedded systems programming and RTOS.
• Programming experience for Ardupilot.
• Experience with MAVLink protocol.
• Data and communication encryption concepts.
• Experience with reliable development tools: static code analyzers, profilers, unit testing, continuous integration/deployment pipelines, version control systems..
• Experience with AWS tools (or other cloud service providers).
• Experience with UAVs, robotics, and RC piloting.

Key measures of success:

• Quality assurance of produced systems and the number of hardware issues in operation
• Accountable roadmap delivery
• Autonomy during task implementation
• Clear documentation

Note! When possible, add a portfolio with your application — include any shareable code examples, app interfaces, product photos, technical docs, system diagrams, or demo videos that show off your skills.

We are looking for an Autonomous Systems/Embedded Software Engineer to join a technology company specializing in navigation hardware for aerial vehicles.

The company fosters a fast-paced startup culture with direct communication, a flat hierarchy, and minimal bureaucracy. You will work with people who value the Growth Mindset, embrace challenges, aren’t afraid to learn from mistakes, and focus on finding solutions rather than pointing fingers.

The company actively integrates automation and AI technologies into all company processes to be 10x more efficient, reduce routines, and free up time for creative jobs.

Key responsibilities:

• Lead software R&D and integration of hardware components designed for UAV platforms.
• Move products from the early concept phase to manufacturing, delivery, support, and maintenance.
• Design and build system architecture — from application to infrastructure, prioritizing security and execution speed.
• Write clean, modular, and secure code, providing proper documentation when necessary.
• Drive reliable software delivery through automated testing and deployment pipelines.
• Developing software and hardware in the loop simulations for testing the algorithms before performing actual flights.
• Perform outdoor field tests.
• Work closely with hardware and machine learning teams to ensure real-time data processing.
• Enhance your capabilities with LLM assistants and other automations to multiply your efficiency.

Required skills:

• Continuous learning and a growth mindset.
• Self-agency in conducting research and solving problems.
• Track record of successfully developed products.
• Minimum of 3 years of commercial experience in software development. A combination of low-level programming (C, C++) and high-level programming (Python, Java, JavaScript).
• Fluency with Linux, Docker, and Bash.
• Experience in signal processing.

Preferred qualifications:

• Experience with embedded systems programming and RTOS.
• Programming experience for Ardupilot.
• Experience with MAVLink protocol.
• Data and communication encryption concepts.
• Experience with reliable development tools: static code analyzers, profilers, unit testing, continuous integration/deployment pipelines, version control systems..
• Experience with AWS tools (or other cloud service providers).
• Experience with UAVs, robotics, and RC piloting.

Key measures of success:

• Quality assurance of produced systems and the number of hardware issues in operation
• Accountable roadmap delivery
• Autonomy during task implementation
• Clear documentation

Note! When possible, add a portfolio with your application — include any shareable code examples, app interfaces, product photos, technical docs, system diagrams, or demo videos that show off your skills.

We are seeking a skilled IT Recruiter to manage full-cycle recruitment and assist our international clients in finding great talent. If you’re proactive, enjoy working in a fast-paced environment, and want to help drive recruitment success worldwide, this role is for you.

Responsibilities:

• Lead end-to-end recruitment, from sourcing top talent to final hiring.
• Engage candidates proactively across multiple platforms (LinkedIn, Djinni, DOU, etc.).
• Build and maintain a high-quality candidate pool.
• Conduct 5-6 interviews per day (30-45min depending on the vacancy).
• Prepare clear candidate profiles for clients (CVs and video introductions).
• Manage the technical assessment process (scheduling interviews, assigning test tasks, and providing feedback).
• Draft and present job offers, guiding candidates through negotiations.
• Maintain an accurate and up-to-date candidate database (CleverStaff).
• Collaborate with IT partner companies to source candidates and ensure the partner database is consistently updated and of high quality.
• Coordinate the signing of contracts with candidates and partners.
• Collaborate closely with Sales and Technical teams to streamline recruitment processes.

• Continuously improve recruitment strategies and processes to enhance efficiency and candidate experience.

   

Requirements:

• Strong Upper-intermediate English (both written and verbal, minimum B2 level).
• 1+ year of experience in full-cycle IT recruitment, ideally in outstaffing or staffing agencies.
• Proven experience sourcing candidates across multiple regions, including Europe, the USA, and LATAM.
• Familiarity with recruitment automation tools (Grinfi, PhantomBuster, etc.) would be a plus.
• Proactive and self-driven approach to recruitment.
• Ability to adapt quickly, stay flexible, and navigate shifting priorities in a dynamic environment.
• Eagerness to continuously learn, grow, and improve recruitment processes.

• Сlient-facing experience and strong relationship management skills are a plus.

   

What we offer:

• Fixed salary within our range + bonuses.
• Fully remote opportunity.
• Flexible schedule.
• Benefits (compensation for professional development, sports and physical health, mental health support, English classes).
• Constant improvement and learning opportunities (fast-paced environment, international clients only, Ukrainian and international candidates 50/50, and we work a lot with automation).