Jobs AI

About Pickleheads

Pickleheads is the #1 platform for organizing pickleball — used by 127,000+ organizers to run round robins, leagues, and ladders. We're a small, fast-moving team and we're looking for a video editor to help us produce scroll-stopping short-form video ads for Meta (Facebook/Instagram).

The Role

You'll edit and produce 15-second to 60-second video ads for our paid social campaigns. This is performance creative — every video exists to stop the scroll, communicate a hook, and drive action. You'll work from detailed creative briefs and collaborate directly with our growth team.

This is a part-time role (roughly 15-20 hours/week) with room to grow as our ad creative volume scales.

What You'll Do

• Edit short-form video ads (15s, 30s, 60s) from raw footage, screen recordings, and stock assets
• Add motion graphics, text overlays, transitions, and kinetic typography
• Follow creative briefs that specify hooks, messaging, pacing, and visual direction
• Produce multiple variations of each ad for A/B testing
• Deliver platform-ready exports optimized for Meta ad specs (9:16, 1:1, 4:5)
• Turn around edits quickly — we test and iterate fast

What We're Looking For

• Strong video editing skills (Premiere Pro, DaVinci Resolve, CapCut Pro, or similar)
• Motion graphics ability — animated text, lower thirds, simple animations (After Effects or equivalent)
• Understanding of direct-response ad creative — you know what makes someone stop scrolling
• Ability to follow a creative brief closely while bringing your own polish and craft
• Experience editing short-form content for paid social (Meta, TikTok, YouTube Shorts)
• Reliable communication and turnaround times
• Portfolio or reel showing short-form ad work or similar

Nice to Have

• Experience with UGC-style ad editing
• Familiarity with Meta Ads performance metrics (CTR, hook rate, hold rate)
• Ability to source and integrate stock footage/music

Compensation

$500–$1,000/month depending on experience and hours. Paid monthly via wire or Wise.

How to Apply

Send your portfolio or reel with examples of short-form video work. We'll ask top candidates to complete a paid trial edit using one of our creative briefs before making a final decision.

Location: Remote (Poland / EU)
Duration: Contract until end of year (with potential extension)

We are looking for a Senior Backend Engineer (Golang) with a strong interest or experience in AI and Large Language Models (LLMs) to join a high-impact project. You will play a key role in designing, building, and optimizing backend services that integrate modern AI capabilities.

This is a senior-level position requiring autonomy, ownership, and the ability to contribute to architectural decisions while collaborating with cross-functional teams.

Key Responsibilities

• Design, develop, and maintain scalable backend services using Golang
• Build and optimize RESTful APIs for high-performance applications
• Collaborate on system architecture and technical design decisions
• Integrate and work with AI/LLM-based solutions and agents
• Ensure code quality, performance, and reliability

• Work independently with minimal onboarding while aligning with broader project goals

   

  Must-Have Requirements

• Strong proficiency in Golang as a primary programming language
• Extensive experience building and maintaining REST APIs
• Hands-on experience with databases such as PostgreSQL, SAP HANA, or similar
• General understanding of AI concepts, especially Large Language Models (LLMs) and AI agents
• Ability to work independently at a senior level
• Nice-to-Have Skills
• Experience with OpenTelemetry (observability, tracing)

• Familiarity with performance and load testing tools (e.g., Locust)

   

  What We’re Looking For

• A senior engineer who can own features end-to-end
• Someone comfortable with high-level architectural discussions
• Ability to collaborate without needing constant direction
• Strong problem-solving mindset and focus on scalable solutions
• Language Requirements
• Professional proficiency in English
• If you're a backend expert with Golang and an interest in AI/LLMs, this is a great opportunity to work on cutting-edge solutions in a flexible, remote environment.

We are looking for a Senior AI Solutions Engineer with strong Python expertise and hands-on experience building production-grade AI systems, intelligent automation platforms, and agent-based workflows.

The ideal candidate combines solid backend engineering skills with practical experience designing scalable AI architectures, integrating LLM-powered solutions, and deploying secure, reliable AI systems into real production environments. The role requires a strong understanding of orchestration flows, memory and context management, tool integrations, and modern AI infrastructure, along with the ability to work independently in complex and fast-moving technical domains.
 

About the Client:

Our client is a multifaceted digital media company dedicated to helping citizens, consumers, business leaders, and policy officials make important decisions in their lives. The company publishes independent reporting, rankings, data journalism, and expert advice that has earned the trust of readers and users for nearly 90 years.
 

The company is a well-known American media organization focused on news, consumer guidance, rankings, and analytical content. It reaches more than 40 million users monthly across multiple digital platforms and verticals, helping audiences make informed decisions in areas such as education, healthcare, finance, and lifestyle.
 

Industry: Online Media

Location: United States
 

About the Project:

The project focuses on exploring and developing advanced AI-powered workflow automation solutions and agent-based systems for complex enterprise use cases.

The team is building scalable and secure AI architectures with orchestration, memory management, integrations, guardrails, and production-grade operational capabilities. The role involves working on modern AI-driven systems that integrate multiple services, APIs, and intelligent workflows to support large-scale digital platforms and user interactions.
 

Requirements:

• Strong hands-on experience building production-ready AI systems and AI agents
• Deep expertise in Python
• Strong understanding of AI agent architecture, orchestration flows, memory, and guardrails
• Experience designing secure AI workflows with history, context management, and execution controls
• Experience integrating multiple APIs, external services, and complex workflows
• Strong understanding of scalable backend architecture and infrastructure
• Experience deploying and supporting AI systems in production environments
• Experience with CI/CD pipelines and operational reliability
• Familiarity with cloud-native deployments on AWS
• Experience with observability, monitoring, and evaluation of AI systems
• Experience with LLM-based systems and modern AI tooling ecosystems
• Experience with MCP (Model Context Protocol) or similar orchestration concepts is a plus
• Experience with AWS AgentCore is highly preferred
• Startup or innovation-focused engineering experience is a plus
• Strong communication and collaboration skills
• Ability to work independently and drive technical solutions in complex domains
• English level: B2
   

Tech Stack

• Python
• LLM-based Systems & Generative AI
• AI Agents & Workflow Orchestration
• AWS & Cloud-Native Infrastructure
• AWS AgentCore
• MCP (Model Context Protocol)
• APIs & Distributed Systems
• CI/CD & Production Deployments
• Observability & Monitoring Tools
• Secure AI Architectures & Guardrails
   

Responsibilities:

• Design and implement production-grade AI solutions and agent-based systems
• Build scalable and secure AI workflows with memory, orchestration, and context management
• Integrate AI systems with multiple services and APIs across complex environments
• Design architectures for AI-driven interactions and workflow automation
• Deploy, maintain, and optimize AI systems in production
• Contribute to CI/CD automation and operational stability
• Collaborate with engineering and product stakeholders to define AI-driven solutions
• Research and evaluate emerging AI technologies and frameworks, including AWS AgentCore
• Ensure high-quality, maintainable, and secure implementations of AI-powered systems
   

We Offer:

• Opportunity to work on cutting-edge AI initiatives and next-generation workflow automation systems
• Modern technologies and innovation-focused environment
• No legacy code — modern architecture and engineering practices
• Supportive and professional team
• Fast and smooth onboarding
• Continuous learning and knowledge sharing
• Open and collaborative working culture
• Dynamic international environment
• Fully remote work
   

Languages

• English — B2 (Upper-Intermediate) or higher
   

Skills:

Python, AI Agents, LLMs, AWS, AWS AgentCore, MCP, CI/CD, APIs, Cloud Infrastructure, AI Workflow Orchestration

s a Foundry AI Developer, you will be at the forefront of building the “Enterprise Brain” by architecting intelligent systems that bridge the gap between massive data lakes and actionable AI. Your primary objective is to design, develop, and optimize an agentic ecosystem using Microsoft Fabric, Azure AI Search, and the Model Context Protocol (MCP). You will be responsible for creating the “nervous system” that allows LLMs to interact securely with proprietary data and internal tools while maintaining peak performance and cost efficiency.

Key Responsibilities

1. Unified Knowledge Engineering (Fabric & AI Search)
The Focus: Building the "Enterprise Brain" by linking Microsoft Fabric’s OneLake to Azure AI Search / Foundry IQ.
Key Responsibilities:
Developing Fabric Data Agents that serve as live conduits between structured lakehouse data and the Foundry Hub.
Configuring Azure AI Search as a vector-enabled index to ingest unstructured data from Fabric, enabling "Agentic RAG" where the agent decides when to pull deep historical data vs. real-time telemetry.
Implementing Foundry IQ skills to handle semantic chunking and multimodal embeddings, ensuring the LLM receives highly relevant context.
2. Python-Based MCP Server Architecture
The Focus: Creating a secure "Nervous System" that allows LLMs to act on proprietary systems using the Model Context Protocol (MCP).
Key Responsibilities:
Developing custom MCP Servers in Python (using asyncio and FastAPI) to expose private APIs and local tools as "Functions" that the agent can invoke.
Hub Registration: Registering these servers within the Foundry Hub as persistent connections, allowing multiple AI agents to share the same toolsets securely.
Managing identity and access through Foundry Control Plane, ensuring that agent "tool-use" follows enterprise security policies (OAuth/Managed Identities).
3. Model Orchestration & Token Optimization
The Focus: Selecting the "Right Model for the Right Task" to maximize performance while minimizing token burn.
Key Responsibilities:
LLM Evaluation: Using Foundry’s Evaluation Dashboard to run "LLM-as-a-judge" benchmarks, comparing models (e.g., GPT-4o for complex reasoning vs. Phi-3 or Llama 3 for extraction) to find the most cost-effective fit for specific sub-tasks.
Token Efficiency: Designing Python-based "Routing Logic" that sends simple queries to small language models (SLMs) and reserves expensive LLMs for complex orchestration.
Observability: Monitoring "Token Burn" per agent run in the Foundry portal to identify prompt bloat and optimize system instructions for brevity without losing accuracy.

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide
 

About your role: We’re looking for an AI Engineer who wants to build production-grade AI systems, not just experiment with demos. This is a high-ownership, greenfield role where you’ll help build our AI platform from scratch, working directly with the Head of AI.  You’ll own initiatives end-to-end — from discovery and architecture decisions to production delivery — and play a key role in shaping how AI is used across the company.

You’ll work with a modern AI stack including Claude/OpenAI/Bedrock, RAG pipelines, eval frameworks (Promptfoo, Ragas, LangSmith), and agentic patterns. This role is ideal for someone who enjoys autonomy, strong engineering ownership, and proactively identifying the next highest-leverage opportunity to drive into production.

In this role, you will:

• Design and build RAG and automation workflows inside our VPC environment.
• Create integrations across engineering, communication, and knowledge-management systems (Jira, Confluence, Slack, Google Drive, Git).
• Develop AI-powered pipelines for code quality checks, ticket auto-classification, documentation updates, release notes, and meeting summaries.
• Work on prompt engineering, model selection and routing (Haiku / Sonnet / Opus), and workflow optimization.
• Build evaluation and regression frameworks for AI workflows to prevent model-upgrade regressions.
• Create lightweight dashboards for engineering leads to surface delivery patterns and bottlenecks.
• Own initiatives end-to-end: scope → design → ship → measure → iterate.

It’s all about you:

• 5+ years of production experience with Python (services, async, API integrations, clean and testable code).
• Hands-on experience with LLM APIs in production: Anthropic Claude (Opus/Sonnet/Haiku), OpenAI, AWS Bedrock.
• Strong understanding of RAG systems: chunking, embeddings, hybrid search, re-ranking, grounding/citations.
• Prompt engineering + structured outputs + tool/function calling.
• Experience with eval/regression frameworks: Promptfoo, Ragas, LangSmith, or custom evaluation harnesses.
• Agentic patterns: ReAct, function-calling loops, fallbacks.
• Vector databases: pgvector, Pinecone.
• Workflow orchestration: n8n, Airflow, or custom orchestration systems.
• Observability: token-spend tracing, latency monitoring, model routing.
• Solid AWS fundamentals: IAM, Lambda, S3, CloudTrail — comfortable deploying inside VPC environments independently.
• CI/CD + pipeline hooks (GitLab/GitHub), webhooks, event-driven architectures.
• Basic SQL skills for analytical queries and metrics dashboards.
• Driver mindset: proactively identifies the highest-leverage opportunity and drives it to production
• B2 English level

Would be a plus:

• Real REST integrations with 2–3+ APIs
• Experience with workflow orchestration tools.
• Prompt evaluation tooling such as  LangSmith is nice to have
• Experience with Docker
• RAG experience: embeddings and vector stores (pgvector, Pinecone, or similar) for knowledge base use cases

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process:

• Intro call
• Technical Interview
• Final Interview
• Reference check
• Offer

ORIL is looking for a product-minded Full Stack Engineer to join a mature team working in the Construction Technology domain. The product operates at the intersection of industrial IoT, cloud software, and intelligent automation to improve efficiency, safety, and risk management across complex, real-world projects globally.

This is a high-ownership role designed for an engineer who looks beyond the code. You will actively collaborate with stakeholders to uncover real business problems, define user stories, and drive features from concept to deployment. If you prefer a dynamic environment, enjoy technical autonomy, and look for smart ways to accelerate development using modern technology, we’d love to talk.

What will you do?

• Take responsibility for the full product lifecycle — from exploring ambiguous requirements and writing documentation to shipping production-grade frontend and backend code.
• Work closely with cross-functional teams, clients, and stakeholders to understand user needs, map out user stories, and ensure technical solutions align with business value.
• Actively use and integrate modern AI tools and LLMs to optimize development workflows, build smart features, and accelerate time-to-market.
• Write clean, scalable code using Python and React. Participate in evolving the architecture, including transitioning legacy components and integrating with hardware/IoT data streams.

• Work in a mature, senior team without rigid boundaries. You’ll navigate between different product tracks and participate in driving design consistency and running product demos.

   

What do we expect?

• 5+ years of experience building production software with Python and React (experience with cross-platform web or mobile solutions is a plus).
• Strong hands-on coding ability — you actively write and ship production-grade code.
• Experience owning delivery end-to-end: gathering requirements, implementing solutions, testing, and releasing.
• Product-Driven Mindset: Ability to turn high-level concepts into practical scope, write clear acceptance criteria, and deliver functional solutions independently.
• Smart Engineering Efficiency: Strong practical experience using AI coding assistants and LLMs to streamline development and automate routine tasks.
• Strong Communication & Autonomy: Comfortable leading technical discussions, gathering requirements from international stakeholders, and presenting ideas clearly. 
• Upper-Intermediate English is essential.
• Experience working in environments with high engineering standards, where developers take ownership of quality, testing, and deployment outcomes.

Will be a plus:

• Experience with Node.js is a solid plus.
• Hands-on experience with Cloud Infrastructure (AWS/Azure) and setting up basic pipelines.
• Experience in IoT, processing real-time data streams, or working with industrial hardware systems.

We offer:

• Competitive compensation.
• Flexibility to work from anywhere (fully remotely or from our office in Lviv).
• Access to premium developer tools and AI infrastructure to support your workflow.
• A mature engineering culture with zero micromanagement and direct impact on the product.
• Comprehensive day-off policy and accounting support services.
• Education budget, compensation for certifications, and health/wellness benefits.
• Insightful company events, knowledge-sharing forums, and milestone celebrations.

Application process:

1. Culture Index (CI) Test
2. Interview with the Recruiter
3. Technical Interview
4. Client Interview

If you are looking for a role where your technical input directly shapes the product and you have the freedom to leverage the best modern AI tools to get things done — apply now and let’s talk!

We are seeking an experienced AI Edge Device Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and optimizing AI algorithms and models for deployment on edge devices. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for success in this role. If you are passionate about pushing the boundaries of AI at the edge and thrive in a collaborative environment, we encourage you to apply.
 

About:

Our client is developing electro-mechanical devices for dairy farms, pulsators and automatic detachers. The solution is leading in the industry with advanced cow monitoring solutions based on activity and rumination sensors.

Responsibilities:

• Designing, developing, and optimizing computer vision pipelines for deployment on edge devices;
• Cross-compiling solutions for various CPU/NPU/VPU types. Perform performance analysis and optimization to ensure real-time processing capabilities on edge devices;

• You will face real-life challenges and complexities emerging from working closely with our AI researchers to provide market leading products.

   

Requirements:

• 5+ years experience in Python, C/C++;
• Hands-on experience with GStreamer or DeepStream;
• Experience with TensorRT, ONNX;
• Experience with processing multiple video streams;
• Hand-on experience with ML accelerators, such as: Nvidia Jetson, Google Coral;
• Proficient in Linux;
• Proficient in Git version control;
• Bachelor's Degree in Computer Engineering, Computer Science or related fields;

• At least Upper-Intermediate English level.

   

Would be a plus:

• Understanding of concepts in signal processing, machine learning and computer vision;
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch;
• Neural network models quantization and pruning;
• Familiarity with building Docker images (Docker files);
• Understanding of CI/CD processes for production code, unit tests, and regression testing;

• Knowledge of CUDA.

   

We offer:

Professional Development: Free English courses, free access to the corporate Udemy account, corporate digital library subscription, possibility to participate and share your knowledge as a speaker in our internal meetups.

Benefits: 100% paid vacation and sick leaves, opportunity to accumulate part of the own salary in the company in dollar terms.

B2B, long-term cooperation; small team, clients from the USA (evening shifts).

About the Company

They are an AI-first startup building a platform that helps brands create, optimize, and scale marketing content using Generative AI. Their technology improves lifecycle and CRM marketing campaigns across email, SMS, push notifications, and other customer engagement channels through automation, personalization, and adaptive optimization.

The company operates in a fast-growing AI and marketing technology space, working with international clients from the USA and Israel. They are building a modern startup culture focused on innovation, ownership, flexibility, and continuous learning.

About the Role

They are looking for a Creative AI Specialist who is passionate about creativity, AI technologies, marketing, and design. This role is ideal for someone who wants to grow in the intersection of AI-driven creative production, performance marketing, and product thinking.

The person will work closely with a small collaborative team, supporting client-facing creative workflows and helping deliver high-performing visual content for marketing campaigns.

This is a startup environment, so they value people who are proactive, adaptable, curious, and comfortable taking ownership.

Responsibilities

• Create visual assets for CRM, email, and marketing campaigns
• Generate and optimize creative content using AI tools and modern workflows
• Work with design tools such as Figma and Adobe Creative Suite
• Support A/B testing and performance-focused creative optimization
• Collaborate with internal teams and communicate directly with clients
• Participate in creative reviews, iterations, and campaign discussions
• Help respond to client requests and urgent updates when needed
• Learn and experiment with new AI tools, workflows, and automation processes

Requirements

• 3-5+ years of relevant experience in creative/design-related roles
• Experience with image generation and visual content creation
• Strong portfolio demonstrating creative and visual skills
• High level of English communication skills
• Comfortable working directly with clients
• Interest in AI tools and willingness to learn continuously
• Strong sense of responsibility, transparency, and flexibility
• Ability to work in a fast-paced startup environment
• Availability for evening collaboration with US-based clients
• Availability on Fridays is important
   

Why Join Them

• Opportunity to work daily with cutting-edge AI technologies
• Fast-growing startup environment with real ownership and impact
• Combination of creativity, AI, marketing, and product work
• International team and global clients
• Strong growth and learning opportunities
• Chance to build unique expertise in AI-driven marketing and creative production
   

About the client:

Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

• Developing fast, high-traffic public-facing websites
• Explore new technologies and help the team to use them
• Work using AI tools and apply them to the SDLC
• Following software development best practices while delivering the work
• Following testing principles while testing your own code to ensure production readiness

• Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes) 

   

Requirements: 

• 5+ years developing reliable, highly available, and scalable software systems
• Strong understanding of software architecture and design patterns
• Firm grasp of clean code principles and coding standards
• Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development
• Experience integrating AI tooling into your development environment for streamlined usage
• Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
• Strong proficiency with backend development with C# or Node.js
• Strong proficiency with TypeScript
• Strong proficiency with SQL; NoSQL datastores (GraphQL, Redis)
• Strong proficiency with frontend development (HTML, CSS, JavaScript)
• Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js.
• Hands-on experience developing and maintaining 3rd party content management systems
• Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker
• Experience with APIs and developing in a service-based application environment
• Experience building optimized UIs for performance
• Proficiency with version control systems such as Git
• Experience working within a formal CI/CD pipeline
• Experience with logging, monitoring, and alerting services like Datadog, Newrelic
• Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontent
• At least Upper-intermediate English level
• This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately.

We are looking for a Middle+ QA Engineer to safeguard the quality and accuracy of an AI-driven VR platform for surgical planning that turns patient CT/MR scans into interactive, life-size 3-D anatomical models. Because the software supports real clinical decisions, precision is not optional — careful, methodical testing directly affects patient safety. You will test the VR application, the imaging pipeline, and supporting tools, working closely with developers and medical advisors.

What You’ll Do

• Design and maintain test cases, checklists, and test documentation.
• Test the Unity-based VR application across VR headsets and PC configurations — functional, regression, exploratory, and UI/UX testing.
• Test the web application(s) — functional, regression, cross-browser, and UI/UX testing.
• Test the imaging pipeline: DICOM import, CT/MR data handling, and the accuracy of the generated 3-D models.
• Verify rendering quality and performance — frame rate, smoothness, and stability.
• Reproduce, document, and verify defects in the bug-tracking system.

What We’re Looking For

• 3+ years of hands-on QA / software testing experience.
• Hands-on experience testing both a Unity (or other game-engine) / VR or desktop application and web applications.
• Strong QA fundamentals: test design, documentation, the bug life cycle, and types of testing.
• Experience with bug-tracking and test-management tools (Jira, TestRail, or similar).
• Basic API testing skills and comfort reading application logs.
• Good written and spoken English.
• Exceptional attention to detail — a must. Small visual or data discrepancies can have real clinical consequences.
• Strong willingness and ability to learn quickly — also a must. VR, 3-D imaging, and medical concepts may be new territory.

Nice to Have

• Any medical or healthcare background — a plus, but not required. It helps you understand the product and speak the same language as our surgeons.
• Familiarity with medical imaging concepts and formats (DICOM, PACS, CT/MR).
• Test automation or performance testing experience.

SMM Specialist (AI Content Focus)

We are looking for a creative SMM Specialist with strong AI-tool skills to create engaging short-form content, manage social media platforms, and produce modern AI-driven creatives for the brand.

Responsibilities:

• Managing and growing social media accounts

• Creating viral content ideas, hooks, storytelling, and trend-based creatives

• Producing short-form content for TikTok, Instagram Reels, YouTube Shorts, and other platforms

• Creating advertising creatives and performance-focused content

• Using AI tools to speed up and optimize content production

• Adapting content for different platforms, formats, and target audiences

• Basic content publishing, scheduling, and visual оформление

• Researching trends, references, competitors, and viral formats

Requirements:

• Experience as an SMM Specialist / Content Creator

• Strong understanding of modern social media trends and short-form content

• Experience with AI tools for content creation is required:

— ChatGPT
— Runway
— Kling
— HeyGen
— ElevenLabs
— Midjourney
— Other AI tools

• Basic video editing skills will be a strong advantage:
CapCut / Premiere Pro / Final Cut / DaVinci Resolve

• Understanding of audience retention, hooks, engagement, and content strategy

• Ability to independently generate content ideas and follow trends

Portfolio is required

Nice to Have:

• Motion design skills

• Experience with performance marketing creatives

• Experience working with brands or digital products

• Understanding of TikTok / Instagram algorithms

We Offer:

• Full-time position

• Remote work format

• Competitive salary

• Creative and fast-growing environment

• Opportunity to work with modern AI technologies

• Freedom for ideas, testing, and growth

To Apply:

Please send:

• Your portfolio

• Examples of AI creatives / social media content

• A short description of your experience

• Links to social media accounts or previous projects (if available)

Overview
We are looking for a Machine Learning Engineer to design and implement intelligent systems that power personalized digital experiences across connected devices and mobile applications.

This is a hands-on role focused on applied machine learning and data engineering, ideal for someone who thrives at the intersection of ML models, data pipelines, and product integration. You will collaborate closely with backend engineers, data scientists, and product managers to bring ML-driven features into production and continuously optimize them based on real-world usage.

Responsibilities:

• Design, train, and deploy machine learning models for use cases such as personalization, recommendations, and visual analysis;
• Build and maintain scalable, production-grade data pipelines (batch and real-time);
• Collaborate with product and engineering teams to translate product ideas into ML-powered features;
• Implement model observability, monitoring, and retraining workflows;
• Optimize inference performance and model serving in resource-constrained environments (e.g., edge or mobile);
• Contribute to the architecture of a modern ML platform within a cloud-native microservices environment;
• Work with backend teams to expose model outputs via APIs and integrate them into customer-facing experiences;

• Stay up to date with recent ML/AI advancements and evaluate promising methods for future implementation.

   

Requirements:

• 3+ years of experience in applied machine learning or data science;
• Strong knowledge of:
  • Supervised learning, recommendation systems, or computer vision;
  • Python and ML libraries such as TensorFlow, PyTorch, scikit-learn;
  • Building, deploying, and maintaining ML models in production.
• Familiarity with:
  • MLOps tools (e.g., MLflow, TFX, Airflow, Vertex AI);
  • Data pipelines and messaging systems (e.g., Kafka, BigQuery, dbt);
  • Model serving frameworks (e.g., FastAPI, TensorFlow Serving, TorchServe, ONNX);
• Comfortable collaborating with product, engineering, and analytics teams;
• Experience with cloud platforms (GCP, AWS, or Azure) and container-based deployments;
• Bonus: Experience with edge AI, mobile ML, or video/image processing pipelines.

We are looking for an experienced, highly technical Director of Engineering (AI Platform) to lead and evolve our core production platform — a mission-critical, AI-powered system at the heart of our customer delivery across multiple business lines.

In this role, you will take end-to-end ownership of a large-scale, enterprise-grade platform delivering real-time and offline transcription and captioning services to global customers. You will lead a high-performing engineering team, drive system reliability, scalability, and efficiency, and continuously enhance the platform through smart, incremental innovation.

This is a hands-on leadership role focused on operating and improving a complex cloud-based (AWS) system powered by advanced AI models, with a strong emphasis on engineering excellence, operational rigor, and customer impact.

In this role, you will:

• Lead and manage the core platform engineering teams, providing clear direction, prioritization, and hands-on guidance to ensure reliable and high-quality delivery.
• Own the stability, scalability, and performance of a mission-critical production system, serving as the backbone of the company’s customer delivery.
• Working with a complex system of services featuring event-driven asynchronous communication, multiple customer-facing APIs, and infrastructure as code. The codebase is primarily written in Python, Ruby, and React
• Drive continuous improvement of the platform, focusing on reliability, efficiency, and incremental feature development aligned with business needs.
• Drive backlog management and execution planning, ensuring clear prioritization, predictable delivery, and alignment with business goals.
• Collaborate closely with Product and cross-functional stakeholders to shape priorities, balance roadmap commitments, and ensure consistent execution.
• Establish strong engineering practices and operational rigor, including monitoring, incident management, and quality standards across the system.
• Leverage modern AI development tools to accelerate engineering velocity, enabling teams to deliver faster while maintaining high standards of quality and maintainability.
• Build strong working relationships with key stakeholders, serving as a trusted advisor and go-to partner for solving complex challenges and driving informed decisions.
• Define and track key metrics (e.g., system reliability, delivery cycle time, efficiency), and use them to drive continuous improvement.
• Lead hiring, onboarding, and development of top engineering talent, building a high-performing team with strong ownership and execution mindset.

In order to be great at this job, you’ll need:

• Bachelor's or master's degree in computer science, Engineering, or a related field
•  At least 8 years of experience leading R&D teams and experienced in managing managers (team leads)
• Strong technical background and hands-on experience, expertise in AWS and Python/React
• Proven track record of leading the development of successful AI-powered products
• Experience in building SaaS, enterprise grade, distributed infrastructure systems
• Significant experience with DevOps, CI/CD, and software delivery processes
• Experience with LLM and generative AI applications – an advantage
• Excellent leadership, mentorship, and communication skills
• Strong problem-solving skills and ability to navigate complex technical challenges
• Ability to manage a broad attention span, maintaining context and driving progress across multiple parallel projects simultaneously

What makes Verbit unique? Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows. Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more. With more than 3,000 global customers relying on Verbit- including top law firms, universities, enterprises and media organizations- we’re building the future of how speech data is processed, understood and used.

We’re a group of:

• Tech-savvy individuals who are always open to more growth and learning opportunities
• Adaptable and flexible people who thrive in a fast-paced, startup environment
• Creative minds who rethink and question how to outperform past results
• Effective communicators who can promote and represent Verbit’s tech and bran

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!

Team Summary

We are the backend engineering team for a data annotation platform that powers AI/ML workflows, including data preparation, quality control, and integration with model training pipelines. Our focus is on backend services, data workflows, platform reliability, and scalability. We collaborate closely with Applied Science, Data, Product, and other engineering teams.

Job Summary

We are seeking an experienced Engineering Lead to guide and manage our backend team. This role combines backend engineering leadership, stakeholder collaboration, ownership of team delivery, and people management. You will be responsible for setting technical direction, driving execution quality, developing engineers, and ensuring the reliability and scalability of engineering systems that directly support AI/ML development.

Responsibilities and Duties

• Lead and manage the backend team and own all aspects of delivery, including planning, execution, technical risk management, and engineering quality
• Drive technical excellence by guiding key design decisions, resolving architectural trade-offs, and supporting the team on complex production, reliability, and scalability issues for backend services, APIs, and data workflows
• Manage and develop engineers through regular 1:1s, performance support, coaching, and career development

• Improve team execution by addressing technical debt, process gaps, and knowledge-sharing needs in partnership with cross-functional stakeholders (Applied Science, Data, Product, etc.)

   

Qualifications and Skills

• Proven experience leading and managing backend engineering teams
• Strong practical experience with Python backend development
• Experience designing, building, and operating production backend services, APIs, and data-processing workflows
• Practical AWS experience for building, operating, and troubleshooting production backend systems
• Experience with containerized backend systems, queues, background jobs, and/or workflow orchestration (Kubernetes experience is preferred)
• Strong system design skills focused on scalability, reliability, and maintainability
• Proven people management skills: coaching, feedback, and engineer development
• Experience with delivery planning, technical risk management, production support, debugging, monitoring, and incident resolution
• Clear and direct communication style with engineers, managers, and stakeholders
• Ability to create clarity in ambiguous situations and make pragmatic decisions that balance speed, quality, and maintainability

Nice to have

• Experience with data-heavy backend systems, data pipelines, or workflow-heavy platforms
• Experience in AI/ML, computer vision, MLOps, or ML-adjacent engineering
• Familiarity with security-sensitive systems, such as access control or auditability
• A product mindset, interest in user workflows, and ability to communicate technical direction to senior stakeholders