Jobs AI

Role Overview:

We are looking for a Middle to Senior AI Developer with experience in voice systems and telephony technologies. The ideal candidate will be responsible for developing, integrating, and maintaining AI-driven voice solutions, including call automation, voice assistants, and communication platforms.

Key Responsibilities:

• Develop and maintain AI-powered voice systems and call automation solutions
• Integrate AI models (LLMs, speech-to-text, text-to-speech) into telephony platforms
• Work with VoIP infrastructure to build scalable communication systems
• Design and implement APIs and integrations with third-party services
• Collaborate with cross-functional teams (Support, Product, and Engineering)
• Troubleshoot and optimize system performance and call quality

• Ensure reliability, scalability, and security of voice-based systems

   

Experience and Skills Needed:

• 3+ years (Middle) / 5+ years (Senior) of relevant experience
• Hands-on experience with VoIP technologies and protocols
• Strong experience with:
  • Asterisk
  • FreePBX
  • Kamailio
  • Twilio
• Experience integrating AI solutions (LLMs, speech recognition, voice synthesis)
• Experience working with APIs and real-time systems
• Good understanding of system architecture and backend development

• Strong problem-solving and debugging skills

   

Additional Qualifications:

• Experience with mobile platforms (Android, iOS)
• Experience developing or supporting voice bots and AI-driven assistants
• Familiarity with AI workflows, prompt design, and automation processes

• Exposure to cloud-based infrastructure and scalable system design

   

Soft Skills:

• Strong communication skills
• Ability to work independently and collaboratively
• Proactive, solution-oriented mindset

• English proficiency: Upper-Intermediate( B2) or higher

   

Equipment requirements: high-speed Internet (50 Mbps upload and download speeds), noise-cancelling headset (headphones, a microphone), high quality video conferencing camera to participate with clients and company management.

Academic requirements: Bachelor's Degree from a recognized University. Preferences will be granted to candidates with Higher Masters accreditation or Certification in Engineering.

Please ensure your CV or supporting documentation and copy of your diploma and grade transcripts aligns the requirements for this posting.

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!

Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools.

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

Qail Labs Inc | Remote 

We're building the infrastructure layer for agent-driven commerce. Qail.ai detects AI agent intent on ecommerce sites and streamlines the buying flow so agents (ChatGPT, Claude, Perplexity, custom shopping agents) can transact reliably on behalf of their users. We need an engineer who has shipped real ecommerce systems — ideally on Shopify — and can own the backend, real-time detection pipeline, and merchant-facing infrastructure.

What you'll do 

Design and ship the systems that sit between AI agents and ecommerce storefronts. Build the agent detection and intent classification pipeline — identifying agent traffic in real time, distinguishing browse from buy intent, and routing requests through agent-optimized flows. Own the backend API that Shopify merchants integrate with, the data storage layer, and the integration surface across Shopify (and adjacent platforms). Build and maintain the Next.js merchant dashboard. Scale from pilot deployments to production traffic across thousands of stores.

Must have

• Hands-on ecommerce engineering experience — you've built and operated production systems on a real storefront, not just adjacent to one
• Deep Shopify experience: Storefront API, Admin API, GraphQL, App Bridge, checkout extensibility, theme app extensions, webhooks, and the realities of operating a Shopify app at scale (rate limits, API versioning, partner/app review)
• Solid grasp of the ecommerce data model — products, variants, inventory, carts, checkouts, orders, fulfillments, discounts, taxes
• Python (FastAPI or similar async framework)
• Designing and operating high-throughput, low-latency APIs in production
• Docker / Docker Compose on bare metal or cloud (Hetzner, AWS, etc.)
• PostgreSQL and Redis
• Comfort working with HTTP internals — headers, fingerprinting signals, session state, edge/CDN behavior
• Browser automation (Playwright, Puppeteer, or Selenium) for simulating agent flows, end-to-end testing, and reproducing merchant scenarios

Strong plus

• Shipped and maintained a public Shopify App (or significant private/custom app work for a DTC brand)
• Checkout and payments depth — Shop Pay, Stripe, tokenized checkout, Shopify Functions
• Experience with other commerce platforms (WooCommerce, BigCommerce, Salesforce Commerce Cloud, custom headless stacks)
• Real-time request classification or detection systems (bot detection, fraud, traffic analysis)
• LLM API integration (OpenAI, Anthropic, Gemini, DeepSeek) and structured-output / tool-use patterns
• Familiarity with emerging agent commerce standards (ACP, AP2, MCP for commerce, agent-readable storefronts)

• Next.js / React for merchant-facing dashboards

   

How we work 

Small team, milestone-based delivery with live demos. You'll work directly with the founder. We move fast and ship weekly.

Compensation 

Competitive, based on experience. Contract starting immediately with path to ongoing engagement.

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 a part-time Content Writer to help grow ORIL’s organic visibility, brand authority, and inbound pipeline through high-quality, conversion-oriented content.

ORIL is a software development company building custom digital products for clients in the PropTech and real estate industries. We’re looking for someone who combines strong writing skills with an AI-native mindset and understands how content supports real business growth.

This role is ideal for someone proactive, result-driven, and comfortable taking ownership — from content research and creation to optimization and performance improvement.

Key Responsibilities:

• Create high-quality B2B content for blogs, landing pages, LinkedIn, and newsletters.
• Use AI tools to improve research, content production, optimization, and repurposing workflows.
• Write SEO- and conversion-oriented content focused on PropTech and software development topics.
• Collaborate with marketing and domain experts to turn complex ideas into engaging content.
• Optimize content for both traditional search and AI-powered search experiences based on SEO specialist recommendations.

What We Expect:

• 2+ years of experience in content writing or content marketing.
• Strong English writing and editing skills.
• AI-native mindset and hands-on experience using AI tools in content workflows.
• Understanding of SEO fundamentals and AI-driven search visibility.
• Ability to create clear, engaging, and conversion-focused content.
• Proactive, independent, and result-oriented approach.
• Experience with B2B, SaaS, software development, or PropTech content is a plus.

What We Offer:

• Competitive compensation
• Flexible, part-time collaboration
• Opportunity to influence ORIL’s long-term content strategy
• A culture that supports growth, ownership, and teamwork

Application process:

— Initial screening: call with Recruiter
— Test task (2–3 days)
— Main interview: call with our Marketing Manager

To take the next step, please include:

• Your CV
• Portfolio or 3–5 relevant content samples (articles, LinkedIn posts, landing pages, case studies, etc.)
• Optional: links to published content, personal blog, or LinkedIn profile

Ready to elevate ORIL’s brand with your content and AI expertise? We’re excited to review your application.

Headway Inc is a global tech company, revolutionizing lifelong learning by creating digital products for over 150 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine. We believe lifelong learning should be accessible, personalized, and impactful to each individual. That’s how we change the world and why we bring together exceptional minds.

The core of our achievements is our team. We believe in people and shared values SELECT. That’s why, together with Kateryna Yuskovych, Creative AI Lead at Headway Inc, we're looking for an AI Creator to research, test, and push the boundaries of what AI can do in performance marketing.

The team you will be working with:

You'll join the AI Hub – a team inside Creative Marketing unit with a mission to be at the forefront of AI adoption, test new tools first, and build a system where the whole team operates faster and smarter. You'll also become a part of Headway Inc's broader marketing community – 100+ people across all products – where you'll always find someone to think through a challenge with, learn from, or be inspired by.

This role is your calling if you:

• Wake up and check what dropped in AI overnight, because missing it genuinely feels like missing out.
• Have a design eye and know how to use it, but reach for Midjourney, Runway or Kling as naturally as you'd reach for Figma.
• Get a kick out of figuring out why a prompt didn't work and iterating until it does.
• Want your experiments to ship, get tested on real budgets, and shape how the whole creative team works.
• Are comfortable not having a playbook because the tools you'll be using tomorrow might not exist yet today.

• Want to be one of the first people building an AI Hub inside a company that helps millions of people grow every day.

   

What you'll do:

• Research and test new AI tools the moment they drop.
• Document what works and what doesn't, and turn findings into recommendations the whole creative marketing team can use.
• Build and grow the AI Knowledge Base – your insights become the team's playbook.
• Create performance ad creatives so you can see firsthand how your work and AI improvements translate into business results.
• Write, iterate and optimize prompts to get consistent results across formats and campaigns.

• The role can grow in a lot of directions – prompt engineering, vibe coding, building internal AI tools, API automations, owning AI initiatives end-to-end. Where it goes depends on where you want to take it.

   

What you need to join us:

• Experience with AI tools for image and video generation – Midjourney, Runway, Kling, Flux or similar.
• Strong design foundation and hands-on experience with Figma and After Effects.
• Ability to write and iterate prompts to get the result you're after.
• Basic understanding of performance marketing and a genuine interest in working in it.
• Curiosity-driven mindset – you don't stop at one tool or one approach.
• Ownership over your work – you initiate, follow through, and care about the impact.
• A portfolio with AI-generated work is a plus – commercial or personal projects, both count.
• Vibe coding experience and familiarity with generation APIs would be a bonus.

• Alignment with the values of our team (SELECT).

   

What do we offer:

• Work within an ambitious team on a socially impactful education product.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Personal development plan.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• Sports activities: running, yoga, boxing, and more.
• We provide 20 paid vacation days per year. On top of that, we add 10 corporate holidays days to your balance – giving you 30 paid days off in total to rest.

• Supporting initiatives that help Ukraine. 

   

Are you interested? Send your CV!

We are looking for a Senior Python Engineer to join our team. The primary focus will be on building and maintaining high-performance, scalable, and secure applications for the Healthcare domain. Our team contributes to the development of a specialized ecosystem of services from scratch to support and optimize Health Information Exchange (HISP) workflows.

Responsibilities:

• Design, develop, test, and maintain applications and services.
• Write clean, efficient, and maintainable code following best practices and coding standards.
• Optimize applications for performance, scalability, and security.
• Troubleshoot, debug, and resolve technical issues.
• Communicate with internal product owners and stakeholders
• Document technical solutions and maintain up-to-date system knowledge.

Requirements:

• Python (4+years) - Flask, Gunicorn, pytest; production microservices, async patterns
• GCP - Cloud Run, Cloud Workflows, Cloud Tasks, GCS, BigQuery, Pub/Sub, Secrets Manager, Google Healthcare API
• Scripting - Typescript, Next.js
• Terraform for GCP infrastructure-as-code
• AI-Assisted Coding

Good to have:

• FHIR
• PostgreSQL
• Redis
• Docker, GKE
• Healthcare Domain Knowledge - FHIR, HL7 C-CDA and CCD Parsing, NLP pipelines
• React.js, Tailwind CSS
• Java - Spring, Spring Boot, Hibernate

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

N-iX is looking for a skilled Python Engineer to join our team. The primary focus will be on building and maintaining high-performance, scalable, and secure applications for the Healthcare domain. 

Responsibilities

• Design, develop, test, and maintain applications and services.
• Write clean, efficient, and maintainable code following best practices and coding standards.
• Optimize applications for performance, scalability, and security.
• Troubleshoot, debug, and resolve technical issues.
• Communicate with internal product owners and stakeholders
• Document technical solutions and maintain up-to-date system knowledge.

Requirements

• Python (3+years) - Flask, Gunicorn, pytest; production microservices, async patterns
• GCP - Cloud Run, Cloud Workflows, Cloud Tasks, GCS, BigQuery, Pub/Sub, Secrets Manager, Google Healthcare API
• Scripting - Typescript, Next.js
• Terraform for GCP infrastructure-as-code
• AI-Assisted Coding

Nice to have

• FHIR
• PostgreSQL
• Redis
• Docker, GKE
• Healthcare Domain Knowledge - FHIR, HL7 C-CDA and CCD Parsing, NLP pipelines
• React.js, Tailwind CSS
• Java - Spring, Spring Boot, Hibernate

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

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).

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

Senior AI Engineer
An AI consulting group that builds serious, production-grade systems for companies ready to operationalize artificial intelligence across their business. We do not build gimmicks. The main focus is on custom AI solutions that integrate directly into operations and drive measurable results.
 

We’re looking for a Senior AI Engineer for one of our clients  - an AI consulting group that builds production-grade systems for companies ready to operationalize artificial intelligence across their business. This is a hands-on role for someone who doesn’t just experiment with AI, but has built, deployed, and optimized real AI systems in complex, production environments.

This role is for someone who takes full ownership of AI systems - from architecture to performance. You’ll work at the intersection of LLMs, distributed data processing, and backend systems, building scalable AI pipelines and knowledge systems in a high-impact environment where performance, reliability, and flexibility (including airgapped deployments) matter.

Your responsibilities will include:

• Design and build distributed data pipelines (Apache Beam, Python) for large-scale document and model processing;
• Implement horizontally scalable LLM-powered extraction workflows across thousands of entities;
• Build runner-agnostic pipelines that run across multiple environments (local, cloud, on-prem);
• Design and implement entity resolution and cross-referencing systems with confidence scoring;
  Architect and build graph-based Knowledge Bases (Dgraph or similar), including schema design and query optimization;
• Develop pluggable LLM extractor frameworks (classification, relationships, completeness, document linking);
• Build abstraction layers for LLM providers (Anthropic Claude, Google Gemini, local models via Ollama/vLLM);
• Optimize LLM usage for cost, latency, and reliability in production environments;
• Design and implement backend service layers (Go-based APIs) connecting AI pipelines with agent systems;
• Ensure observability, debugging, and performance monitoring across distributed AI systems;
• Package and deploy systems using Docker (docker-compose, containerized environments);
• Collaborate directly with client teams on integrations, validation, and production rollout.

What we expect from you:

• 5–8+ years of experience in AI Engineering, Data Engineering, or Applied ML Infrastructure;
• Expert-level Python;
• Strong experience with distributed processing frameworks (Apache Beam preferred; Spark/Flink acceptable);
• Hands-on experience integrating LLMs in production (prompting, orchestration, provider abstraction);
• Experience with graph databases (Dgraph, Neo4j, JanusGraph, or similar);
• Strong understanding of distributed systems, parallel processing, and large-scale data pipelines;
• Solid SQL and data modeling fundamentals;
• Experience with Docker and containerized deployments;
• Experience with cloud platforms (GCP preferred, AWS/Azure acceptable);
• Strong backend/system design mindset (performance, scalability, reliability);
• Ability to work independently and take ownership without micromanagement;
• Strong problem-solving skills in complex, ambiguous environments;
• English level: B2+ (C1 preferred);
• Availability to overlap with US business hours.

Our Customer offers:
- Four-month full-time contract engagement;

- Remote work with overlap in US business hours;

- High-impact project with direct influence on production AI systems;

- Close collaboration with client’s product and engineering teams;

- Opportunity to build core infrastructure for real-world AI applications — not prototypes.

We are looking for a visionary Senior .NET Developer to take full ownership of the backend for our Cloud Analytics Platform. This role is perfect for a technical leader who is passionate about AI integration and wants to be a pioneer in using the Model Context Protocol (MCP). You will not only architect scalable solutions but also mentor other developers, ensuring technical excellence and driving the project’s success from day one.

The Project

You will be leading the development of a cutting-edge Cloud Analytics Platform that directly impacts the quality of medical training worldwide. The platform helps healthcare centers achieve prestigious SSH accreditation by leveraging AI-powered insights and secure data analytics. This is a mission-driven project where you will work with a leading-edge AI stack (Claude API, LLM agents) and high-standard security protocols.

Tech requirements:

• 5+ years of experience with C# / .NET 8 backend development.
• Mandatory experience with AI service integration (Claude API, LLM integration, or building AI-powered agents).
• Strong knowledge of Model Context Protocol (MCP) and building MCP Tool Servers using the .NET SDK.
• Proven track record of mentoring developers and conducting code reviews.
• Expertise in PostgreSQL and designing analytical data models (Star Schema).
• Strong understanding of RESTful API design, Dependency Injection, and Clean Architecture.
• Solid grasp of authentication (JWT + OAuth2) and strict multi-tenant isolation.
• Familiarity with CI/CD pipelines (GitHub Actions) and Docker.
• English — Upper-Intermediate (B2), Ukrainian — fluent.

Nice to have:

• Experience with reporting libraries like QuestPDF or ClosedXML.
• Knowledge of healthcare standards (GDPR, HIPAA, or SSH accreditation).
• Experience with Azure (App Service, Container Apps, Managed PostgreSQL).
• Experience with Python microservices for data exchange.

What you will do:

• Act as the Backend Owner, taking full responsibility for the technical design, scalability, and performance.
• Mentor and guide the Middle .NET Developer through regular code reviews and consultations.
• Design and maintain services for the Cloud Analytics Platform following Clean Architecture.
• Develop and optimize PostgreSQL databases (fact and dimension tables) for high-performance queries.
• Build and maintain the Metric Catalog as a single source of truth for business metrics.
• Develop MCP Tool Servers to securely expose metrics to the AI Query Assistant.
• Implement daily batch ingestion pipelines (ETL) using .NET Worker Services and Quartz NET.
• Integrate Claude API (via Microsoft.Extensions AI) for natural-language querying.
• Ensure GDPR compliance (PII pseudonymization, AES-256 encryption, audit logging).

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Partial reimbursement for external English classes / free internal courses / speaking clubs;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

📌 If you believe this role could be a great match for you, please send your CV — we will review it and get in touch with you if there’s a match.