Jobs ML / AI Engineer

ZentixSoft is looking for a Mid/Senior AI (LLM) Engineer 🤖🚀
 

At ZentixSoft, we follow the "People over processes" principle. We are expanding our AI/ML direction for our international partners and looking for a hands-on Engineer who knows how to work with Open-Source LLMs, build production-ready RAG systems, and orchestrate intelligent agents from scratch.
 

Note: This is an Outstaffing role where you will be integrated into a long-term project with an innovative global client, enjoying all the benefits, support, and flexibility of the ZentixSoft culture.
 

The Role: You will be responsible for building, optimizing, and deploying LLM-based solutions directly within the client's ecosystem. Your focus will include prompt engineering, setting up vector databases (embeddings), architecture design for RAG systems, and agent orchestration. You will also work on fine-tuning and experimenting with uncensored models.
 

Our Expectations: 
🔹 LLM Expertise: Strong experience with open-source models (Llama, Qwen) and hands-on work with uncensoring/fine-tuning models. 
🔹 AI Architecture: Deep understanding of Embeddings, RAG (Retrieval-Augmented Generation), and intelligent Agent Orchestration frameworks (e.g., LangChain, CrewAI, AutoGen). 
🔹 Core Tech: Mid-level+ Python proficiency (FastAPI, Asyncio, Pydantic). 
🔹 Infrastructure: Solid *nix OS experience (Linux environment, bash scripting, Docker) for deploying and maintaining models. 
🔹 Prompt Engineering: Advanced skills in systemic prompting, few-shot learning, and guardrails implementation. 
🔹 Communication: English level B2+ for smooth daily collaboration with international stakeholders.
 

Why ZentixSoft? 
💸 Salary Review: Transparent growth and competitive compensation. 
⚖️ Balance: No micromanagement and no overtimes — we respect your time and boundaries.
 🦾 Trust: A culture of ownership where your expertise and technical decisions are highly valued.
 

Project Details: 
📍 Remote (Ukraine / EU). 
⏳ Full-time, long-term cooperation. 
🚀 Start: ASAP.
 

Please share your CV, spoken level of English and monthly salary expectations (Gross, USD).

Reply.io is a fast-growing SaaS company helping businesses automate and scale their sales outreach.

We're looking for a Prompt Engineer to work with large language models (GPT, Claude, and others) — enhancing their performance through prompt tuning and conducting research using AI coding agents.

This is hands-on, focused prompt work — sometimes repetitive, always precise — with direct impact on how Jason AI and our other AI-powered features perform.

If your success formula is: 👉 Right model + Right prompt structure + Right evaluation + Continuous iteration — you'll thrive here.

🎯 What you'll do:

• Refine existing prompts — continuously improve quality across our AI features, from simple categorisation to complex, highly personalised email sequence generation, including addressing minor bugs in the results
• Develop new prompts for upcoming AI tools and workflows aimed at making customers' work easier and more efficient
• Use AI coding agents to research, prototype, and validate prompt approaches
• Test prompts on newly released models (Claude, GPT, and others) — compare performance, document trade-offs, recommend upgrades
• Partner with sales, growth, and dev teams to make sure AI outputs match real business needs
• Embrace the detail-oriented, sometimes repetitive nature of prompt tuning — consistent quality matters more than novelty here
• Stay ahead of LLM advancements — new models, new techniques, new evaluation methods

🧩 Requirements:

• 0.5–1 year of experience as a Prompt Engineer, understanding of AI agent workflows, or light scripting/development background (will be a plus — candidates without prior experience are also welcome to apply)
• Passion for AI and hands-on experience with LLMs (GPT, Claude, or similar)
• Prompt tuning expertise — you've optimised prompts and can articulate what worked, what didn't, and why
• Attention to detail and patience for focused, methodical iteration — the role involves repetitive refinement with consistent quality
• Strong communication — you can translate between business needs and LLM behaviour, working across sales, growth, and dev teams
• English proficiency (B2+) — written and spoken
• Willingness to learn — you actively follow AI trends and test on new models as they release

🎁 What we offer:

• Ownership of prompts that ship into customer-facing AI features used by sales teams every day
• Work with cutting-edge LLMs — Claude, GPT, and whatever ships next; premium API access covered
• High autonomy — no micromanagement, no bureaucracy, real ownership
• 100% remote with minimal meetings
• Coverage of professional courses, gym memberships, or therapy sessions
• AI-first culture — we actively use and cover costs of premium tools
• 15 paid vacation days, 🇺🇦 national holidays & ~10 days of Christmas vacation
• Sick leaves without limitations
• Access to internal training, literature, and knowledge sessions

If you love prompting, think in iterations, and are excited to shape how Jason AI performs — we'd love to hear from you!

Company Overview:
Webxloo, LLC is an international software development company founded in 2005, with headquarters in Florida, USA, and a branch in Ukraine. Our products, including Autoxloo and Simulcast , focus on business automation and real-time systems in the automotive industry. We are expanding and seeking a highly skilled AI & PHP Backend Developer to join our team.
 

Role Overview:
As an AI & PHP Backend Developer at Webxloo, you will play a dual role: designing and implementing AI-based automation solutions while developing and maintaining robust backend systems using PHP. You will collaborate with cross-functional teams to enhance our product offerings, ensure system scalability, and deliver intelligent automation solutions that provide real business value.
 

Key Responsibilities:

• Design, implement, and maintain AI-driven automation workflows to optimize internal and external processes.
• Build intelligent automation using machine learning, LLMs, and low-code/no-code tools such as n8n, Zapier, or Power Automate.
• Integrate AI features into enterprise platforms and software products.
• Develop and maintain backend modules using PHP frameworks such as YII2, Laravel, or Symfony.
• Work with databases including MySQL/MariaDB, MongoDB, Redis, and ensure efficient data management.
• Implement clean, maintainable code following OOP principles, SOLID, DRY, KISS, YAGNI, and PSR standards.
• Collaborate with front-end developers, QA, design, and support teams to deliver high-quality features.
• Monitor, debug, and enhance existing codebases to ensure system reliability, performance, and security.
   

Required Skills & Qualifications:

• 1+ year of experience in AI development, workflow automation, or backend PHP development.
• Solid experience with PHP frameworks (YII2, Laravel, Symfony) and OOP principles.
• Proficiency with MySQL/MariaDB, MongoDB, and caching/message queue systems (Redis, RabbitMQ).
• Experience with RESTful APIs, XML, DOM, CURL, and Regex.
• Familiarity with AI/ML tools, LLMs, and enterprise automation platforms.
• Strong analytical skills and attention to detail.
• English proficiency (intermediate or higher) for technical documentation and collaboration.
• University degree in Computer Science, Engineering, or a related field.
   

Preferred/Advantageous Experience:

• Experience with cloud platforms, Docker, Kubernetes, or serverless architectures.
• Experience in automotive, healthcare, or digital commerce industries.
• Knowledge of frontend frameworks (React, Vue.js) is a plus.
   

What We Offer:

• Competitive salary with regular reviews.
• Standard working schedule with no overtime (9:00 - 18:00, lunch break 13:00 - 14:00).
• Exposure to international projects with various AI and backend development challenges.
• Career growth, skill expansion, and leadership opportunities.
• Collaborative team environment with experienced professionals.
   

Technical Requirements:

• Computer or laptop with at least 16GB of RAM.
• High-speed internet (minimum 20 Mbps).

• Headset and webcam for regular video calls.
   

  Higher consideration would be granted to individuals that have completed AI certification, particularly those with experience in Claude Code (Claude 4.7) and its related tools and ecosystem!

   

If you are interested in this opportunity, we encourage you to apply now.

ML Research Engineer
c3 - Kyiv (on-site) - Full-time - Equity Potential

c3 is a London-based software startup opening an office in Kyiv to carry out deep research and development within ML/CV/Time Series

A lot of what we are working on relates to time series modelling - market prediction, bots etc. Similarly, if you have experience within ML/CV for the defence sector, this would be a plus.

We are building a spatial intelligence data layer. We are capturing a number of datapoints about a physical space at a point in time, and outputting deep insights. 

The output is structured intelligence derived from physical reality - not
from what people say about it, not from documents describing it, but from direct measurement of it over time.

One patent filed. Two more in preparation. We are not yet public about
the application. You will find out in the room.

This is a startup early-stage team role. For the next six months we will be working out the architecture together. After that we build the team out around what we have decided.

What the technical problem looks like:

You have LiDAR point clouds of the same physical space captured at different points in time. You need to: align them robustly across varying scan conditions, detect and classify what changed between them at element level using spatial context from the 3D model, compute a rate of change, and project it forward with calibrated uncertainty. You also need to design a training data pipeline that bootstraps a condition assessment model from heterogeneous sources - some structured, some not - before your own capture pipeline reaches sufficient volume.

The output feeds a downstream intelligence model whose architecture you will also help design. None of this is off the shelf. You build it from
first principles with access to real-world data from day one.

What we are looking for:

You have produced serious work in one or more of: computer vision, 3D reconstruction, SLAM, spatial ML, or time series modelling on
physical systems (financial markets or other).

Production instinct. You know the difference between a result and a system. You know when a classical method is the right choice and when it is not. You have built things that ran outside a notebook.

Startup disposition. You have either founded something, been early at
something, or have thought seriously about why now is the moment. 

You are not looking for a job. You are looking for a problem worth the next several years.

Kyiv. You are here or you want to be. This role is on-site. We have an
office. The reason is simple: the architecture decisions we need to make in the next six months happen on a whiteboard, not over Slack. Hybrid work acceptable, not fully remote.

The stack is not fixed - you will help decide it. Likely Python,
PyTorch, point cloud processing, a structured data layer.

Compensation: competitive Kyiv-market salary and potential for meaningful equity. Funded through an operating business backed with London-based capital. No runway risk.

You can check our website here: https://c3.report

Look forward to speaking with you.

We’re looking for an AI-native Product Builder with Web3 experience - someone who can turn ideas into working products fast using modern AI tools.

This role is perfect for someone with product thinking who enjoys shipping quickly, prototyping, experimenting, and building MVPs through AI-assisted workflows. This is a long-term opportunity, specifically open to Ukrainian professionals living abroad.

What you’ll do

• Own the full product lifecycle from discovery to launch
• Define product vision, roadmap, and feature prioritization
• Translate complex ideas into clear product requirements and user flows
• Rapidly prototype concepts and validate hypotheses using AI-assisted tools
• Drive cross-functional collaboration across product, engineering, design, and growth
• Analyze user behavior, identify opportunities, and optimize product performance

• Contribute to product strategy, experimentation, and iteration processes

   

Requirements

• Proven experience building, launching, or scaling digital products in startup or Web3 environments
• Strong background in Web3 / crypto products
• Experience working in high-growth startup environments
• Deep understanding of user experience, product systems, and conversion funnels
• Strong analytical and problem-solving skills
• Experience with AI-native workflows and modern AI tooling
• Hands-on experience with tools such as Claude, GPT, Cursor, Lovable, v0, or similar
• Ability to independently prototype ideas and operate with a high degree of autonomy
• Technical understanding of frontend/product architecture is a strong plus

• English - Upper-Intermediate or higher

   

Perks & Benefits

• Competitive salary and benefits package
• Opportunity to work in a dynamic, innovative, and growing industry
• Remote work flexibility
• A collaborative and inclusive work environment
• Professional growth opportunities in a rapidly evolving sector
• Paid vacation and sick leaves

We are looking for a Senior AI Platform Engineer to join our team at ORIL. This is an opportunity to work on a high-stakes AI-driven platform where performance, reliability, and data integrity are at the core of everything we build. If you thrive in a fast-paced startup environment, take full ownership of your systems, and have a "ship-fast-but-stable" mindset, we want to talk to you.

About the project

Our client is a US-based innovator pushing the boundaries of AI workflows. We are building sophisticated, multi-step AI systems that require deep observability, robust data pipelines, and a seamless CI/CD process to maintain high velocity without sacrificing quality.

Tech Stack: Python, AI/LLM Orchestration, Distributed Tracing, AWS, PostgreSQL, Modern CI/CD.

What are we looking for?

• 4+ years of experience building and owning production-grade backend systems in Python;
• Recent experience instrumenting distributed tracing or node-level observability for multi-step AI workflows to diagnose complex bottlenecks;
• Proven ownership of end-to-end data pipelines: from ingestion and embedding to retrieval validation and schema enforcement;
• Hands-on experience setting up CI/CD gates that run evals, schema validation, or integration tests automatically before a merge;
• High shipping velocity: track record of shipping 5+ pull requests in a single day on a production codebase, each closing a distinct issue;
• Latency Optimization: experience profiling and fixing bottlenecks in Python backends (P95 < 1.5s) for real-time or near-real-time requests;
• System Responsibility: experience owning systems with a high "blast radius" where other engineers depend on your changes daily;
• Experience writing deployment SOPs or runbooks that allow others to execute deployments without direct involvement;
• Technical Stack: Proficient in LangGraph (state machines, node composition), PostgreSQL (pgvector), and RAG pipelines;
• English level: Upper-Intermediate (B2+).

What will you do?

• Develop and maintain multi-step AI workflows and the infrastructure that supports them;
• Set up and improve CI/CD gates that run integration tests and schema validations automatically before every merge;
• Maintain a high shipping tempo (handling multiple PRs daily) while keeping the codebase clean;
• Write deployment SOPs and runbooks to ensure system stability and team autonomy;
• Diagnose and fix complex issues in distributed systems using advanced tracing tools;
• Work closely with the engineering team to refine the technical roadmap and ensure architectural consistency.

We offer:

• Competitive compensation;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Accounting Support Services;
• Education budget + corporate education events/trainings;
• Compensation for certifications, fitness, or therapy sessions;
• A dynamic environment where your proactivity is recognized and rewarded.

Application Process:

1. Initial Screening: Call with Recruiter.
2. Technical Interview: Be ready to share specific examples of diagnosing bottlenecks and managing data pipelines.
3. Client Interview.

Ready to build the future of AI infrastructure? Apply now and let’s get to work!

This engagement is focused on building an internal AI platform that enables developers to ship AI-powered services efficiently. Scope includes model connectivity, prompt testing and evaluation, monitoring/observability, and the underlying AI infrastructure layer.

The objective is to improve DevEx and reduce time-to-market for AI features.

Location: Serbia (relocation support available), Croatia, Poland, Portugal

Tasks:

• Build and operate the AI platform infrastructure enabling developers to ship LLM-based services faster.
• Implement and maintain Kubernetes-based runtime environments (incl. AKS) for AI workloads.
• Manage infrastructure as code with Terraform (modules, environments, CI/CD automation).
• Support LLM workflows: RAG, agents, prompt experimentation, evaluations, and deployment patterns.
• Integrate and operate tooling such as Azure AI Foundry, LiteLLM, Langfuse, MLflow.
• Orchestrate pipelines using Kubeflow Pipelines and/or Argo Workflows (build, deploy, evaluate).
• Improve platform reliability and observability (monitoring, logging, tracing, cost/perf signals).
• Collaborate closely with developers to streamline DX (APIs, templates, docs, golden paths, automation).

Requirements:

• Strong hands-on experience with Kubernetes in production (preferably AKS).
• Solid Terraform expertise (IaC best practices, multi-env setups).
• Practical experience supporting ML/LLM workloads in a platform or DevOps/MLOps context.
• Proficiency in Python for automation, scripting, and supporting APIs/evaluation tooling.
• Understanding of CI/CD, release processes, and production-grade operations.
• Ability to work under tight timelines and deliver pragmatically.

Nice to Have

• Experience building internal developer platforms or “paved roads” for engineering teams.
• Familiarity with LLM evaluation frameworks, prompt testing workflows, and LLM observability.
• Exposure to RAG architectures, vector databases, and agentic patterns.
• Experience with Kubeflow, Argo, and ML lifecycle tooling.

Engagement Type

• Long-term B2B contract.

Team

• You will join a team of 5, with 3 AI Platform Engineers being added.

Location / Timezone

• Remote work from Croatia, Poland, Portugal, and Serbia.
• European working hours.
• Occasionally available for meetings up to 10:00 AM PST (US overlap).

This engagement is focused on building an internal AI platform that enables developers to ship AI-powered services efficiently. Scope includes model connectivity, prompt testing and evaluation, monitoring/observability, and the underlying AI infrastructure layer.

The objective is to improve DevEx and reduce time-to-market for AI features.

Location: Serbia (relocation support available), Croatia, Poland, Portugal

Tasks:

• Build and operate the AI platform infrastructure enabling developers to ship LLM-based services faster.
• Implement and maintain Kubernetes-based runtime environments (incl. AKS) for AI workloads.
• Manage infrastructure as code with Terraform (modules, environments, CI/CD automation).
• Support LLM workflows: RAG, agents, prompt experimentation, evaluations, and deployment patterns.
• Integrate and operate tooling such as Azure AI Foundry, LiteLLM, Langfuse, MLflow.
• Orchestrate pipelines using Kubeflow Pipelines and/or Argo Workflows (build, deploy, evaluate).
• Improve platform reliability and observability (monitoring, logging, tracing, cost/perf signals).
• Collaborate closely with developers to streamline DX (APIs, templates, docs, golden paths, automation).

Requirements:

• Strong hands-on experience with Kubernetes in production (preferably AKS).
• Solid Terraform expertise (IaC best practices, multi-env setups).
• Practical experience supporting ML/LLM workloads in a platform or DevOps/MLOps context.
• Proficiency in Python for automation, scripting, and supporting APIs/evaluation tooling.
• Understanding of CI/CD, release processes, and production-grade operations.
• Ability to work under tight timelines and deliver pragmatically.

Nice to Have

• Experience building internal developer platforms or “paved roads” for engineering teams.
• Familiarity with LLM evaluation frameworks, prompt testing workflows, and LLM observability.
• Exposure to RAG architectures, vector databases, and agentic patterns.
• Experience with Kubeflow, Argo, and ML lifecycle tooling.

Engagement Type

• Long-term B2B contract.

Team

• You will join a team of 5, with 3 AI Platform Engineers being added.

Location / Timezone

• Remote work from Croatia, Poland, Portugal, and Serbia.
• European working hours.
• Occasionally available for meetings up to 10:00 AM PST (US overlap).

AI Agent Engineer 

About the Role

We are looking for a skilled AI Agent Engineer to build advanced AI agents and autonomous workflows powered by modern LLM technologies.

You will work on production-grade agentic systems, orchestration frameworks, memory systems, tool calling, and multi-agent architectures.

This role is ideal for engineers passionate about the future of autonomous AI systems.

Responsibilities

• Develop AI agents and agentic workflows
• Build and optimize multi-agent systems
• Implement RAG pipelines and memory architectures
• Integrate external tools and APIs into AI systems
• Work with orchestration frameworks such as LangGraph, CrewAI, or AutoGen
• Improve reliability, evaluation, and observability of AI systems
• Deploy and maintain production AI applications
• Collaborate with product and engineering teams

Requirements

• 3+ years of software engineering experience
• Hands-on experience with LLM applications and AI agents
• Experience building AI agents or agentic workflows
• Strong Python skills
• Experience with:
  • LangGraph / CrewAI / AutoGen
  • OpenAI APIs
  • RAG systems
  • Vector databases
  • Prompt engineering
  • Tool calling
• Experience deploying production systems
• Understanding of agent memory and orchestration concepts

Nice to Have

• MCP experience
• AI evaluation frameworks
• AI observability tools
• Fine-tuning experience
• Open-source AI contributions
• Personal AI projects / GitHub portfolio

We Offer

• Remote-first environment
• High-impact AI projects
• Modern AI stack and technologies
• International team
• Long-term collaboration

We are looking for an AI-first Engineer / Product Engineer to join our client, a fast-growing eCommerce company building modern AI-powered product workflows and scalable production systems.

This is a high-impact product engineering role for someone who enjoys ownership, systems thinking, and building real-world products end-to-end. You’ll work closely with product and non-technical stakeholders, helping shape both customer-facing experiences and internal tooling, while integrating AI into real production workflows.

Key Responsibilities:
 

- Build and ship features using AI-assisted development workflows
- Design scalable, production-ready systems and architecture
- Own features and systems end-to-end — from idea and requirements through to production deployment
- Integrate AI into real production systems, APIs, databases, and async workflows
- Collaborate closely with product managers and non-technical stakeholders
- Make technical decisions balancing speed and product quality
- Work across multiple areas of the product and adapt quickly to changing priorities

Requirements:

- 5–6+ years of commercial software engineering experience
- Strong experience with Next.js, React, TypeScript, and Node.js
- Solid understanding of scalable system design and production architecture
- Experience building high-scale B2C, eCommerce, or product-focused applications
- Strong knowledge of PostgreSQL, including writing and optimising raw SQL
- Experience integrating APIs, async workflows, and cloud-based infrastructure
- Good understanding of AWS and modern deployment workflows
- Strong communication skills and comfort working directly with product stakeholders
- AI-native engineering mindset, actively using tools like Cursor, Claude, or LLM workflows in day-to-day development
- Comfortable context switching and wearing multiple hats in a fast-moving environment

Nice to Have:

- Experience with Shopify ecosystems or integrations
Stripe experience
- Experience building AI-powered workflows, automations, or agent systems
- Startup or high-growth product company experience

What We Offer:

- High-impact product work with real ownership and autonomy
- Modern AI-first engineering environment
- Fast-moving product culture with strong engineering standards
- Collaborative, product-focused team environment
- Competitive compensation aligned with experience

How to Apply:

Send us a short intro about yourself and your relevant experience - and tell us your favourite ice cream flavour (ours is cherry🍒).

What you'll do

• Set the technical bar across our vehicle-detection and license-plate-recognition stack. Govern model architecture choices, dataset strategy, evaluation pipelines, and deployment patterns.
• Design, train, optimise, and deploy CV models for vehicle detection, classification (type, colour, brand, model), and GCC license-plate recognition.
• Convert and optimise models (YOLO family and others) for inference on Intel CPUs using OpenVINO; profile and reduce latency on edge hardware until you hit the SLA you own.
• Drive performance work on inference latency, model footprint, and CPU resource use for fleet-scale deployment.
• Govern the labelling guideline with the AI labelling operator: prioritise edge cases, audit dataset quality, sign off on dataset releases.
• Partner with the full-stack and web teams to expose model outputs through stable APIs that survive model updates.
• Mentor the AI labelling operator and any junior engineers who join later. Review code and model evaluations.
• Stay current on practical CV research; bring back what's worth integrating, reject what isn't.

What you'll bring

• 5+ years of production computer-vision work, including at least one role with senior or technical-lead responsibility.
• Deep C++ (C++17 or newer) and Python. Comfortable in both Linux and Windows build environments.
• Strong OpenVINO experience or equivalent (TensorRT, ONNX Runtime). You have personally optimised a model below an SLA you owned.
• ANPR / OCR / vehicle-recognition or comparable safety-critical CV background - ideally on edge hardware.
• Demonstrated ability to design model evaluation pipelines and ship measurable improvements over baselines.
• Linux command-line fluency.
• English fluency - written and spoken.

Nice to have

• Direct GCC license-plate experience.
• Experience working with classified or restricted-access datasets and the operational disciplines that go with them.
• Experience leading 1-3 person AI teams.
• C++ inference on Intel platforms (OpenVINO model optimisation, INT8 quantisation, multi-threaded inference).
• Windows desktop application packaging.
• Experience with M1 / Apple Silicon for future portability.
• Arabic - reading useful for GCC plate work.

Location & work authorization

Prefer candidates willing to relocate; the company sponsors residency for international hires.  Alternative is remote with occasional travel to UAE.

We are looking for a hands-on engineer who can deploy AI/computer vision solutions into real-world manufacturing environments and work directly with customer infrastructure, factory systems, and operations teams.
This is not a pure backend or ML research role.

The client is building AI-powered computer vision and predictive systems for manufacturing companies.

The position combines AI systems, industrial infrastructure, edge deployments, networking, and customer-facing integration work.
You will own the full deployment lifecycle — from technical discovery and integration to production rollout, troubleshooting, and long-term handover.
 

Responsibilities

• Deploy AI/computer vision systems into live manufacturing environments
• Integrate AI systems with factory infrastructure, OT/IT systems, and customer cloud platforms
• Work with industrial protocols and factory systems (OPC-UA, Modbus, PLCs)
• Configure and support edge AI infrastructure, including NVIDIA Jetson devices and industrial vision systems
• Build and improve edge-to-cloud data pipelines
• Troubleshoot software, networking, and production integration issues
• Work directly with customer IT, operations, and engineering teams
• Document deployment architecture and create handover materials
• Support customer onboarding, training, and adoption
• Participate in technical discovery and pre-sales discussions
   

Requirements

Must Have

• 6+ years of overall technical/engineering experience
• 3+ years of production Python development experience
• 3+ years of hands-on Linux and Docker experience in production environments
• 3+ years of experience with production deployments, infrastructure integrations, or system integration projects
• Understanding of networking fundamentals for production environments (TCP/IP, VLANs, firewalls)
• 2+ years of customer-facing engineering experience working directly with external stakeholders
• Professional English communication skills

Nice to Have

• 2+ years of experience with industrial automation or manufacturing systems
• 1–2+ years of experience with OPC-UA, Modbus, PLC systems, or industrial networking
• 1–2+ years of experience with computer vision or Edge AI systems
• Experience with NVIDIA Jetson or similar edge AI platforms
• Experience with cloud platforms (AWS, Azure, or GCP)
• Understanding of OT/IT infrastructure and factory environments
   

We Offer

• Time Off: 20 paid vacation days and 5 paid sick leaves per year.
• Growth: Personalized development plan (PDP) and training compensation.
• Perks: Сourse compensations and work equipment (laptop/monitor).
• Support: Full accounting support.

We’re building something very different at PRAI.

This is not a typical job.

This is a chance to work at the edge of AI, media, and attention economy.

About PRAI

PRAI is an AI platform transforming PR and communications.

We’re building AI Employees — systems that:

• generate content

• run outreach

• replace slow, manual work

Now we’re scaling into AI video content — fast, viral, performance-driven.

If you understand where media is going — you’ll get it.

What you’ll do

• Create viral short-form videos (TikTok / Reels / Shorts)

• Use AI tools:

• Sora (or similar)

• Runway / Pika / Kling

• Build clickbait hooks (first 1–3 seconds = everything)

• Turn ideas into high-converting video flows

• Produce content daily (speed matters more than perfection)

• Test → iterate → scale what works

Work format

• Fully remote

• Full-time

• Startup speed (fast, intense, no hand-holding)

• Performance-driven environment

We use Hubstaff for time tracking — we’re focused on output and accountability.

Who we’re looking for

You’re not “just editing videos”.

You:

• understand attention and psychology

• know what makes content go viral

• can produce a lot, not just “perfect”

• move fast and don’t overthink

Mindset

• speed > perfection

• execution > talking

• no excuses, just results

• test aggressively, drop what doesn’t work

Test task

We may ask you to create:

3 short AI-generated videos

→ strong hook

→ clear flow

→ engagement-focused

Why people want to work with us

• You work with cutting-edge AI tools before most people even understand them

• You build real output, not fake busy work

• You move fast and actually see results

• You’re not stuck in corporate nonsense — only execution matters

• If you’re good, you grow very fast with us

In one sentence

We’re building AI-driven content that people can’t scroll past.

APPLY IF:

You feel this is your environment.

Company website:
prai.us

Backend Architect - Golang 
(100% remote) in either Poland, Ukraine, Romania, Bulgaria, Lithuania, Latvia, or Estonia

Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future. 

Join us for the ride!

About the Role

We're seeking a hands-on VPN Backend Architect (Golang) to lead our backend team while spending 70% of your time writing Golang code. You'll set technical direction for our backend platform serving millions of users, guide an engineering team, and own architecture decisions for distributed services that must be fast, reliable, and secure at scale.

This role suits someone who wants to design secure, scalable systems and write the code that runs them. 

What You'll Do

• Define and evolve the architecture of our backend platform serving connections from millions of users
• Design and build highly available distributed services in Golang while setting technical direction on scalability, reliability, and performance targets  
• Lead code reviews and champion testing discipline, clean architecture, and engineering best practices across the team
• Partner with the SDK team to integrate client features cleanly into backend systems and deliver end-to-end functionality
• Mentor engineers and grow the technical depth of the team while collaborating with security, infrastructure, and product teams
• Drive the team to meet performance targets and ship reliable products that protect users at scale

What We're Looking For

• Bachelor's degree in Computer Science or related field.
• 8+ years of backend engineering & architecture experience with 5+ years in Golang
• Proven track record designing and operating distributed systems at scale with deep understanding of networking protocols (IP, TCP, UDP, HTTP/HTTPS, DNS)
• Hands-on experience with VPN protocols (WireGuard, OpenVPN, IPsec), tunneling, NAT traversal, and low-latency networking
• Production experience on AWS (EC2, EKS, S3, Aurora/RDS) with container technologies (Docker, Kubernetes) and strong Linux development background
• Working knowledge of cryptography fundamentals, threat modeling methodologies, secure coding practices, and strong API design skills

Bonus Points

• Master's degree in Computer Science or related field
• Network performance tuning and optimization experience with knowledge of Python and Java
• Experience with NoSQL databases and familiarity with observability tools (Prometheus, Grafana, OpenTelemetry)

Why Join Us?

• Professional Growth: Enhance your skills by collaborating closely with talented engineers and architects.
• Meaningful Impact: Help create software that protects millions of users from cybersecurity threats.
• Supportive Environment: Join a team dedicated to innovation, mentorship, and continuous learning.

Description

Our Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services in the US.

Requirements

We are looking for a creative and tech-savvy AI Video Content Creator to join our team. This role is perfect for someone who is deeply passionate about digital storytelling and has been at the forefront of the generative AI revolution. You will be responsible for producing high-quality video content in various styles, ranging from viral short-form clips to engaging long-form productions.

The ideal candidate bridges the gap between technical execution and creative vision, working closely with clients to transform ideas into stunning visual realities using the latest AI toolkits.

Requirements

• 6+ months of hands-on experience working with AI video generation tools.
• A strong portfolio demonstrating proficiency in both short and long-form content.
• Deep passion for content creation and visual storytelling.
• Excellent communication skills for effective client interaction.

Job responsibilities

• End-to-End Content Production: Create, edit, and polish short-form and long-form videos across diverse aesthetic styles using AI tools.
• AI Tool Mastery: Utilize tools such as Runway, Veo, Kling, Grok, HeyGen, and Higgsfield to generate and manipulate high-quality video assets.
• Audio Synthesis: Mastermind voiceovers and soundscapes using ElevenLabs to ensure high-fidelity audio integration.
• Client Collaboration: Act as a creative partner for clients, participating in brainstorming sessions, refining concepts, and managing the execution of their vision.
• Creative Direction: Stay ahead of AI trends and experimental techniques to consistently deliver fresh and innovative content.